From 538521f322c39a5020103a888accb59ba6844f2d Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Wed, 18 May 2022 15:41:32 -0700
Subject: [PATCH 1/7] add test dir for development purpose testing

---
 test/README.md              |    1 +
 test/temporal_average.ipynb | 4305 +++++++++++++++++++++++++++++++++++
 2 files changed, 4306 insertions(+)
 create mode 100644 test/README.md
 create mode 100644 test/temporal_average.ipynb

diff --git a/test/README.md b/test/README.md
new file mode 100644
index 0000000..fe27121
--- /dev/null
+++ b/test/README.md
@@ -0,0 +1 @@
+Directory for testings during the development process
diff --git a/test/temporal_average.ipynb b/test/temporal_average.ipynb
new file mode 100644
index 0000000..36f5cc4
--- /dev/null
+++ b/test/temporal_average.ipynb
@@ -0,0 +1,4305 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ab1d3dea-b953-4e53-a94d-ab9a2d1ab39c",
+   "metadata": {},
+   "source": [
+    "# Temporal Average Testing\n",
+    "\n",
+    "Test procedure:\n",
+    "- XCDAT is source-installed from branch `feature/201-temporal-mean`\n",
+    "- PR: https://github.com/xCDAT/xcdat/pull/236\n",
+    "\n",
+    "## Load test data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ac226d47-9fdc-4f9c-b2ff-d9542b23c5f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a0ba4da0-603f-4437-ab82-7b3fa9a7c2d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo_data_dir = '../tutorials/demo_data/CMIP5_demo_data'\n",
+    "demo_filename = 'ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc'\n",
+    "demo_file = os.path.join(demo_data_dir, demo_filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8a67df64-9f0b-4515-8fdc-2122a2eddd1c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xcdat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c20b0719-f1a3-4781-a8af-465c05cf4240",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds = xcdat.open_dataset(demo_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d965ac21-d875-4951-bb2d-70a6dedade3a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ts = ds.ts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "1b9227cd-3c9a-4135-8228-b3b17eabe81c",
+   "metadata": {},
+   "outputs": [
+    {
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+       "\n",
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+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
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+       "\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ts&#x27; (time: 1872, lat: 145, lon: 192)&gt;\n",
+       "[52116480 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
+       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Attributes:\n",
+       "    standard_name:     surface_temperature\n",
+       "    long_name:         Surface Temperature\n",
+       "    comment:           &quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)\n",
+       "    units:             K\n",
+       "    cell_methods:      time: mean\n",
+       "    cell_measures:     area: areacella\n",
+       "    history:           2012-01-17T03:16:09Z altered by CMOR: replaced missing...\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3ed69bf0-9b8e-45bc-bd58-7151e8c0aaf9' class='xr-array-in' type='checkbox' checked><label for='section-3ed69bf0-9b8e-45bc-bd58-7151e8c0aaf9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-c2771e01-7ec4-4678-82ff-7210d01009d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2771e01-7ec4-4678-82ff-7210d01009d7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-81033970-c60d-4cd2-9fc5-a69b93c93224' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81033970-c60d-4cd2-9fc5-a69b93c93224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1bd1ad6-3cf9-4de3-ac86-506f3d76e63a' class='xr-var-data-in' type='checkbox'><label for='data-e1bd1ad6-3cf9-4de3-ac86-506f3d76e63a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-a69c0666-706c-49c1-9da0-73715f2f1f7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a69c0666-706c-49c1-9da0-73715f2f1f7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-419677ec-8625-47bb-bec7-298c2144bfaf' class='xr-var-data-in' type='checkbox'><label for='data-419677ec-8625-47bb-bec7-298c2144bfaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-24199845-aa90-471a-9100-69ee436f6826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24199845-aa90-471a-9100-69ee436f6826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd2b1ed3-0e50-4358-874a-9f99b1a8e322' class='xr-var-data-in' type='checkbox'><label for='data-dd2b1ed3-0e50-4358-874a-9f99b1a8e322' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22ad8c70-ad1f-40d8-93b3-b9c2087e0892' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22ad8c70-ad1f-40d8-93b3-b9c2087e0892' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'ts' (time: 1872, lat: 145, lon: 192)>\n",
+       "[52116480 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
+       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Attributes:\n",
+       "    standard_name:     surface_temperature\n",
+       "    long_name:         Surface Temperature\n",
+       "    comment:           \"\"skin\"\" temperature (i.e., SST for open ocean)\n",
+       "    units:             K\n",
+       "    cell_methods:      time: mean\n",
+       "    cell_measures:     area: areacella\n",
+       "    history:           2012-01-17T03:16:09Z altered by CMOR: replaced missing...\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation..."
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "51bf1c04-a1fd-4e5b-a560-1d74405ce66f",
+   "metadata": {},
+   "source": [
+    "## 1. Temporal Average\n",
+    "\n",
+    "### 1.1 Month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "5c076cb4-c584-40a8-8c70-ea649c4c602a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month = ds.temporal.average(\"ts\", freq=\"month\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "40e19a21-cf46-46cf-ab5e-a48682008d40",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(145, 192)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_month.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c20553c6-3095-4e91-944e-125ad3076731",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
+       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.8 253.8 253.8\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-66aa5e8a-8fa1-4e42-b82a-3bd0ab8a4454' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66aa5e8a-8fa1-4e42-b82a-3bd0ab8a4454' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-014e9050-ecec-411e-9fbf-56f46c7f3c81' class='xr-section-summary-in' type='checkbox'  checked><label for='section-014e9050-ecec-411e-9fbf-56f46c7f3c81' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c68713f9-4070-4906-bfa5-ebf32cd77c70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c68713f9-4070-4906-bfa5-ebf32cd77c70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c359fd5-5e2a-4dcc-98dd-05ad60ccf2b0' class='xr-var-data-in' type='checkbox'><label for='data-9c359fd5-5e2a-4dcc-98dd-05ad60ccf2b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-41e226e9-1eba-4838-a899-b78706eae85c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41e226e9-1eba-4838-a899-b78706eae85c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2aec7e0-8c28-47d8-8bf7-8520ec98c88e' class='xr-var-data-in' type='checkbox'><label for='data-d2aec7e0-8c28-47d8-8bf7-8520ec98c88e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-025ec860-fb33-42b9-8e69-e8ce7fdbf69f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-025ec860-fb33-42b9-8e69-e8ce7fdbf69f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20f1a323-9960-45a3-8e44-5e4da0454e02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20f1a323-9960-45a3-8e44-5e4da0454e02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee1d382f-2d0c-4646-b6d5-110ff3ff62c4' class='xr-var-data-in' type='checkbox'><label for='data-ee1d382f-2d0c-4646-b6d5-110ff3ff62c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       [-89.375, -88.125],\n",
+       "       [-88.125, -86.875],\n",
+       "       ...,\n",
+       "       [ 86.875,  88.125],\n",
+       "       [ 88.125,  89.375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6040ca8c-0967-494d-ab11-4d7b9e986f9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6040ca8c-0967-494d-ab11-4d7b9e986f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec29724d-2151-4f8e-981a-bf464ad80b94' class='xr-var-data-in' type='checkbox'><label for='data-ec29724d-2151-4f8e-981a-bf464ad80b94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [  0.9375,   2.8125],\n",
+       "       [  2.8125,   4.6875],\n",
+       "       ...,\n",
+       "       [353.4375, 355.3125],\n",
+       "       [355.3125, 357.1875],\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-49d52bdd-b3e1-4ba7-b69b-c21ec611e0af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49d52bdd-b3e1-4ba7-b69b-c21ec611e0af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5e75b9-8726-400c-852e-cfd440a520db' class='xr-var-data-in' type='checkbox'><label for='data-8d5e75b9-8726-400c-852e-cfd440a520db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
+       "        224.63190177, 224.63190177],\n",
+       "       [228.32156131, 228.26436586, 228.20520529, ..., 228.48919971,\n",
+       "        228.43403387, 228.37894071],\n",
+       "       [229.51051546, 229.37391584, 229.23693873, ..., 229.89809979,\n",
+       "        229.77730198, 229.646766  ],\n",
+       "       ...,\n",
+       "       [254.43141738, 254.46242388, 254.49356349, ..., 254.32908235,\n",
+       "        254.36883088, 254.39857257],\n",
+       "       [254.19129091, 254.20466136, 254.21739569, ..., 254.14740382,\n",
+       "        254.15849709, 254.17515679],\n",
+       "       [253.78937694, 253.78937694, 253.78937694, ..., 253.78937694,\n",
+       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e25d7aae-d12a-4638-81ce-80c0e09645bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-e25d7aae-d12a-4638-81ce-80c0e09645bc' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.8 253.8 253.8\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "66e7ac8a-a4d2-428c-952f-427dde5cb6ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c15a370>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_ave_month.ts.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "51da8d84-70a1-426f-a92b-60696e2e3abf",
+   "metadata": {},
+   "source": [
+    "### 1.2 Season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "db763ce0-309d-4f33-9b2f-48ac1a108b35",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_season = ds.temporal.average(\"ts\", freq=\"season\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "c8cd7f03-3a2d-44c1-8e51-6cbfc870890b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(145, 192)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_season.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "954ec296-8bc3-4041-a756-d2087a32642f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       " */\n",
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+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
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+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
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+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
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+       "  display: inline;\n",
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+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
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+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
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+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
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+       "\n",
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+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
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+       "  display: none;\n",
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+       "  margin-bottom: 5px;\n",
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+       "\n",
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+       "  display: contents;\n",
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+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
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+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
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+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
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+       "\n",
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+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-var-dims {\n",
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+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
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+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
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+       "\n",
+       ".xr-var-name:hover,\n",
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+       ".xr-attrs dt:hover {\n",
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+       "  width: auto;\n",
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+       ".xr-var-data {\n",
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+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
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+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
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+       "\n",
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+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
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+       "\n",
+       ".xr-attrs,\n",
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+       ".xr-var-data {\n",
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+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
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+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
+       "    ts        (lat, lon) float64 224.7 224.7 224.7 224.7 ... 253.8 253.8 253.8\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-20412369-c675-455a-8010-a1ca5f314c3b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20412369-c675-455a-8010-a1ca5f314c3b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-781c794c-97f7-471d-9a35-d2581b1cf31c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-781c794c-97f7-471d-9a35-d2581b1cf31c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-104eeca8-1e2d-4c6c-95fd-4f51b57baf61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-104eeca8-1e2d-4c6c-95fd-4f51b57baf61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c9445c6-c2c4-433e-8aa1-9f3f235a9ca0' class='xr-var-data-in' type='checkbox'><label for='data-2c9445c6-c2c4-433e-8aa1-9f3f235a9ca0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-75029e91-ec88-437a-9f21-1b1464609e1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75029e91-ec88-437a-9f21-1b1464609e1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db0ed4a6-e6cb-4edb-b995-b97f75e92d98' class='xr-var-data-in' type='checkbox'><label for='data-db0ed4a6-e6cb-4edb-b995-b97f75e92d98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07e830bf-ce17-45df-a45f-2584d85595b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07e830bf-ce17-45df-a45f-2584d85595b3' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aef75d2-fa7f-4e6f-9c63-dd56eac2bb25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6aef75d2-fa7f-4e6f-9c63-dd56eac2bb25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3ca44da-9920-4b11-8b34-dd35e4e0032f' class='xr-var-data-in' type='checkbox'><label for='data-f3ca44da-9920-4b11-8b34-dd35e4e0032f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       [-89.375, -88.125],\n",
+       "       [-88.125, -86.875],\n",
+       "       ...,\n",
+       "       [ 86.875,  88.125],\n",
+       "       [ 88.125,  89.375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a79aabe-ff51-4746-b6c7-feefcce8ff8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a79aabe-ff51-4746-b6c7-feefcce8ff8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c98592d-00e4-4bd5-b3f6-bd48d15a81f0' class='xr-var-data-in' type='checkbox'><label for='data-8c98592d-00e4-4bd5-b3f6-bd48d15a81f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [  0.9375,   2.8125],\n",
+       "       [  2.8125,   4.6875],\n",
+       "       ...,\n",
+       "       [353.4375, 355.3125],\n",
+       "       [355.3125, 357.1875],\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.7 224.7 224.7 ... 253.8 253.8</div><input id='attrs-3116a8c4-e2a2-4167-836b-737c2a8001be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3116a8c4-e2a2-4167-836b-737c2a8001be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f64bb61-782a-42c5-98f7-be9a59cc4e18' class='xr-var-data-in' type='checkbox'><label for='data-2f64bb61-782a-42c5-98f7-be9a59cc4e18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.70702467, 224.70702467, 224.70702467, ..., 224.70702467,\n",
+       "        224.70702467, 224.70702467],\n",
+       "       [228.39289164, 228.33583731, 228.27682185, ..., 228.56007983,\n",
+       "        228.50507056, 228.45013048],\n",
+       "       [229.58167803, 229.44527299, 229.30851394, ..., 229.96870422,\n",
+       "        229.848072  , 229.71772273],\n",
+       "       ...,\n",
+       "       [254.44218426, 254.47318055, 254.50429846, ..., 254.33990871,\n",
+       "        254.37963671, 254.40936423],\n",
+       "       [254.20181155, 254.21517477, 254.22789985, ..., 254.15793764,\n",
+       "        254.16902226, 254.18567783],\n",
+       "       [253.79984531, 253.79984531, 253.79984531, ..., 253.79984531,\n",
+       "        253.79984531, 253.79984531]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6204bcbd-649f-4d51-8073-2bd974a85d51' class='xr-section-summary-in' type='checkbox'  ><label for='section-6204bcbd-649f-4d51-8073-2bd974a85d51' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (lat, lon) float64 224.7 224.7 224.7 224.7 ... 253.8 253.8 253.8\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "fef1d9e8-fdf6-442d-836b-39900ccba486",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c2e1790>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_ave_season.ts.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2437d4bd-6840-49d6-87da-2e52220922d2",
+   "metadata": {},
+   "source": [
+    "### 1.3 Year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "3c439a6c-922d-412a-ae4d-63ce0a1fb80a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_year = ds.temporal.average(\"ts\", freq=\"year\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "8d04dfb1-e988-4a3c-800c-3fd253ef70e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(145, 192)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_year.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "e213a1a4-ed01-4dae-9d65-7bb261386f5d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "}\n",
+       "\n",
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+       "  display: none;\n",
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+       "\n",
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+       "  display: inline-block;\n",
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+       "\n",
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+       "\n",
+       ".xr-attrs dt {\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
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+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
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+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
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+       "  width: 1em;\n",
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+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
+       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.9 253.9 253.9\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9031ec41-422c-49f9-b35c-0cfbdd71e43e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9031ec41-422c-49f9-b35c-0cfbdd71e43e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67e6f422-3637-4a9b-850b-4c37f44efb3a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67e6f422-3637-4a9b-850b-4c37f44efb3a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-5e2402f2-ce74-4866-95d5-98ea4114fdb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e2402f2-ce74-4866-95d5-98ea4114fdb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2124131-8427-48de-8c14-9426ab5b89ba' class='xr-var-data-in' type='checkbox'><label for='data-b2124131-8427-48de-8c14-9426ab5b89ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-03f0f0b2-8ccd-44d9-aae8-a30c5f27cf00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03f0f0b2-8ccd-44d9-aae8-a30c5f27cf00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6b38fec-ea7d-4744-b24f-c5656aba422e' class='xr-var-data-in' type='checkbox'><label for='data-d6b38fec-ea7d-4744-b24f-c5656aba422e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-825b0b76-65ac-4530-94d5-227fcc53b04b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-825b0b76-65ac-4530-94d5-227fcc53b04b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a003771-3fe6-472e-9e0b-951136b0adc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a003771-3fe6-472e-9e0b-951136b0adc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf95dcb-aa96-4d35-b60f-bfe1175acb9d' class='xr-var-data-in' type='checkbox'><label for='data-7bf95dcb-aa96-4d35-b60f-bfe1175acb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       [-89.375, -88.125],\n",
+       "       [-88.125, -86.875],\n",
+       "       ...,\n",
+       "       [ 86.875,  88.125],\n",
+       "       [ 88.125,  89.375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-641997b0-1861-44e5-8d01-c6aa270eefeb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-641997b0-1861-44e5-8d01-c6aa270eefeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b365c8f7-95ff-43df-82a3-290f227f8805' class='xr-var-data-in' type='checkbox'><label for='data-b365c8f7-95ff-43df-82a3-290f227f8805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [  0.9375,   2.8125],\n",
+       "       [  2.8125,   4.6875],\n",
+       "       ...,\n",
+       "       [353.4375, 355.3125],\n",
+       "       [355.3125, 357.1875],\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.9 253.9</div><input id='attrs-fa2b6483-e1ca-4358-9672-00eee3dad300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa2b6483-e1ca-4358-9672-00eee3dad300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6281a7d5-d18a-48d4-916b-c3cdfe845d0d' class='xr-var-data-in' type='checkbox'><label for='data-6281a7d5-d18a-48d4-916b-c3cdfe845d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.58977804, 224.58977804, 224.58977804, ..., 224.58977804,\n",
+       "        224.58977804, 224.58977804],\n",
+       "       [228.28868211, 228.23149187, 228.17233688, ..., 228.45628362,\n",
+       "        228.40113336, 228.34605534],\n",
+       "       [229.479265  , 229.34266656, 229.20570909, ..., 229.86683899,\n",
+       "        229.74604428, 229.61551092],\n",
+       "       ...,\n",
+       "       [254.51221048, 254.54310599, 254.57412542, ..., 254.41026118,\n",
+       "        254.44986029, 254.47949659],\n",
+       "       [254.27302999, 254.28634596, 254.29902688, ..., 254.22930539,\n",
+       "        254.24034849, 254.25695254],\n",
+       "       [253.87299679, 253.87299679, 253.87299679, ..., 253.87299679,\n",
+       "        253.87299679, 253.87299679]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1704e30c-f00f-4da3-b8bf-63f743188a11' class='xr-section-summary-in' type='checkbox'  ><label for='section-1704e30c-f00f-4da3-b8bf-63f743188a11' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.9 253.9 253.9\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "829099e7-af9a-47f9-80f9-9d62efd15c35",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c3e6190>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_ave_year.ts.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f48e7ed4-3751-48ac-865b-1175b536a59a",
+   "metadata": {},
+   "source": [
+    "### 1.4 Day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "a904b42d-2cd0-4e4c-8a6d-3d6e2f0610fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_day = ds.temporal.average(\"ts\", freq=\"day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "f878f09a-2b4a-47e5-8686-a0072e53e55f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(145, 192)"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_day.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "d8cbc6a5-48ac-4533-9d11-357dbbd9d4af",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</symbol>\n",
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+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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+       "  --xr-background-color-row-odd: #313131;\n",
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+       ".xr-text-repr-fallback {\n",
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+       "  display: inline;\n",
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+       ".xr-section-summary-in:checked + label:before {\n",
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+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
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+       "  grid-column: 1;\n",
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+       "\n",
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+       "}\n",
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+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
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+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
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+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
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+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
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+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
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+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
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+       ".xr-dim-list li:not(:last-child):after {\n",
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+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
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+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
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+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
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+       "\n",
+       ".xr-var-preview {\n",
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+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
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+       ".xr-var-name:hover,\n",
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+       ".xr-attrs dt:hover {\n",
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+       ".xr-var-data {\n",
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+       "  background-color: var(--xr-background-color) !important;\n",
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+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
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+       ".xr-var-data > table {\n",
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+       "\n",
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+       ".xr-attrs dd {\n",
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+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
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+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
+       "    ts        (lat, lon) float64 230.8 230.8 230.8 230.8 ... 246.3 246.3 246.3\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b8f85ec-68a9-4c22-9487-e15600fecbdf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b8f85ec-68a9-4c22-9487-e15600fecbdf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c01de830-25a7-474b-87de-d918db3335eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c01de830-25a7-474b-87de-d918db3335eb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-652394d5-b48c-495b-b0dd-fc810b31f557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-652394d5-b48c-495b-b0dd-fc810b31f557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba215ac5-a360-41a0-bdf3-fd44882a163a' class='xr-var-data-in' type='checkbox'><label for='data-ba215ac5-a360-41a0-bdf3-fd44882a163a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-89db0d95-007f-4461-b1d0-315ff363d89e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89db0d95-007f-4461-b1d0-315ff363d89e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb944144-9a7e-429e-89e3-772e83a0f701' class='xr-var-data-in' type='checkbox'><label for='data-cb944144-9a7e-429e-89e3-772e83a0f701' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa9bbee7-e772-45cb-8d81-3add2442026d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa9bbee7-e772-45cb-8d81-3add2442026d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b05f2d5-11ed-468c-9f80-885d25c8d36a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b05f2d5-11ed-468c-9f80-885d25c8d36a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10057d1d-c913-440e-8259-dfb4a1cc3e3c' class='xr-var-data-in' type='checkbox'><label for='data-10057d1d-c913-440e-8259-dfb4a1cc3e3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       [-89.375, -88.125],\n",
+       "       [-88.125, -86.875],\n",
+       "       ...,\n",
+       "       [ 86.875,  88.125],\n",
+       "       [ 88.125,  89.375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-162f4b80-17fa-44d0-9c79-9422b21d8ee9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-162f4b80-17fa-44d0-9c79-9422b21d8ee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-478dba9d-8aa3-4098-b981-3e758c64429b' class='xr-var-data-in' type='checkbox'><label for='data-478dba9d-8aa3-4098-b981-3e758c64429b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [  0.9375,   2.8125],\n",
+       "       [  2.8125,   4.6875],\n",
+       "       ...,\n",
+       "       [353.4375, 355.3125],\n",
+       "       [355.3125, 357.1875],\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>230.8 230.8 230.8 ... 246.3 246.3</div><input id='attrs-11c8a406-26b3-44d9-9ebd-fbc4865ab71f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11c8a406-26b3-44d9-9ebd-fbc4865ab71f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a1786fe-7592-4f68-a0c1-fadfc46ba398' class='xr-var-data-in' type='checkbox'><label for='data-6a1786fe-7592-4f68-a0c1-fadfc46ba398' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[230.77884495, 230.77884495, 230.77884495, ..., 230.77884495,\n",
+       "        230.77884495, 230.77884495],\n",
+       "       [233.52590012, 233.47318289, 233.41881021, ..., 233.68150159,\n",
+       "        233.63000608, 233.57903939],\n",
+       "       [234.58845139, 234.45779572, 234.32629425, ..., 234.95829114,\n",
+       "        234.84305307, 234.71850773],\n",
+       "       ...,\n",
+       "       [247.27768571, 247.31676018, 247.35502926, ..., 247.14838553,\n",
+       "        247.19756487, 247.23562431],\n",
+       "       [246.90260709, 246.91926617, 246.93478268, ..., 246.84818736,\n",
+       "        246.86317563, 246.88323714],\n",
+       "       [246.30439971, 246.30439971, 246.30439971, ..., 246.30439971,\n",
+       "        246.30439971, 246.30439971]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cfd61ba-9385-49ba-bb75-4ae922295ead' class='xr-section-summary-in' type='checkbox'  ><label for='section-7cfd61ba-9385-49ba-bb75-4ae922295ead' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (lat, lon) float64 230.8 230.8 230.8 230.8 ... 246.3 246.3 246.3\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "98e5ca4b-94c4-4b5e-a76f-47451a4c1674",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c4f65b0>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_ave_day.ts.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "247d83e0-5ad6-41d7-9e4c-54706b78c292",
+   "metadata": {},
+   "source": [
+    "### 1.5 Hour"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "4ba7350f-3a50-4f40-b355-c62853c18688",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_hour = ds.temporal.average(\"ts\", freq=\"hour\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "786a3997-fe1a-4985-ae85-fb08ebfb3f6e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(145, 192)"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_hour.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "6d85378b-09be-4f7a-9af6-a2dbe1dcfcaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c577940>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_ave_hour.ts.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5868f234-a8a4-4b78-9507-e2f3dc97bed1",
+   "metadata": {},
+   "source": [
+    "## 2. Compare temporal averages that use different `freq` option"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "dacd0704-ee42-4f20-9765-205641148381",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c385550>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_year.ts - ds_ave_month.ts).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "84c8dd65-ddbb-402f-a8c7-f567f2b21723",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c6d66d0>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_season.ts - ds_ave_month.ts).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "2a458291-bf4b-4fad-8f31-d1ebca5bcc2b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c7a17c0>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_day.ts - ds_ave_month.ts).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "4e4c7f31-cc99-4670-aaa5-e29aecab6e5e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c869070>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_hour.ts - ds_ave_month.ts).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a1d84d9-5689-4d39-8973-70ccb7fec98e",
+   "metadata": {},
+   "source": [
+    "## 2. Group Average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e33efc59-649c-4632-b7ba-799043353387",
+   "metadata": {},
+   "source": [
+    "### 2.1 Month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "1e36edc2-9d01-4881-963a-830859301123",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_month = ds.temporal.group_average(\"ts\", freq=\"month\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "0086e66a-3cd9-4ebe-9d2f-36603d158409",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1872, 145, 192)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_month.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "2033f778-7196-482c-95ea-fbf8f7d97e68",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15cbbb4c0>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_month.ts[0]-ds.ts[0]).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e4b95fb-49e7-4905-82ac-a174d2959d5d",
+   "metadata": {},
+   "source": [
+    "### 2.2 Year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "477b1c69-08df-48c1-8e6b-77b13d707af1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_year = ds.temporal.group_average(\"ts\", freq=\"year\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "8b199df6-0cbe-4b7d-a336-47628726ee34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(156, 145, 192)"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_year.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9583dfb-285f-4bab-8bb7-bea6243af270",
+   "metadata": {},
+   "source": [
+    "### 2.3 Season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "c478328f-63fd-4a5a-a323-bd3f54c8db24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_season = ds.temporal.group_average(\"ts\", freq=\"season\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "544c53e0-a676-431a-8a72-84b542ed2874",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(625, 145, 192)"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "bdf17235-d9eb-450e-b14d-8a11655a9b2e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192, time: 625)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "  * time      (time) datetime64[ns] 1850-01-01 1850-04-01 ... 2006-01-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
+       "    ts        (time, lat, lon) float32 245.8 245.8 245.8 ... 248.2 248.2 248.2\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3230d3f7-c605-4ab9-b235-63c4f6344717' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3230d3f7-c605-4ab9-b235-63c4f6344717' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57c70dfc-c040-4a40-956d-86079724e487' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57c70dfc-c040-4a40-956d-86079724e487' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-4f56fc2b-dbab-47b6-b161-478a62d1f43a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f56fc2b-dbab-47b6-b161-478a62d1f43a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c8d0397-40c3-4754-95fd-d115e94f8002' class='xr-var-data-in' type='checkbox'><label for='data-7c8d0397-40c3-4754-95fd-d115e94f8002' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f61b8304-89b3-405c-a9ed-7d52daaaa566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f61b8304-89b3-405c-a9ed-7d52daaaa566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb3d6e4d-08c0-4d2a-8c70-cf4988087624' class='xr-var-data-in' type='checkbox'><label for='data-fb3d6e4d-08c0-4d2a-8c70-cf4988087624' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-44daffe7-5f09-4c48-b4fe-14ecc614e19f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44daffe7-5f09-4c48-b4fe-14ecc614e19f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f84f5e08-a12e-43c9-8e9a-324c9dfa83a4' class='xr-var-data-in' type='checkbox'><label for='data-f84f5e08-a12e-43c9-8e9a-324c9dfa83a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1850-07-01T00:00:00.000000000&#x27;, ..., &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9623ffa-ea7b-4144-9402-d83fb4990d3b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9623ffa-ea7b-4144-9402-d83fb4990d3b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-618687a7-4cb8-47b0-ad62-7e37635cddf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-618687a7-4cb8-47b0-ad62-7e37635cddf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c150c168-c67b-4a78-ab31-1e95b5068187' class='xr-var-data-in' type='checkbox'><label for='data-c150c168-c67b-4a78-ab31-1e95b5068187' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       [-89.375, -88.125],\n",
+       "       [-88.125, -86.875],\n",
+       "       ...,\n",
+       "       [ 86.875,  88.125],\n",
+       "       [ 88.125,  89.375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-892043bb-0d00-4ea0-80d9-4e8daa7c0943' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-892043bb-0d00-4ea0-80d9-4e8daa7c0943' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef636372-1341-4b90-9481-6f6742faf552' class='xr-var-data-in' type='checkbox'><label for='data-ef636372-1341-4b90-9481-6f6742faf552' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [  0.9375,   2.8125],\n",
+       "       [  2.8125,   4.6875],\n",
+       "       ...,\n",
+       "       [353.4375, 355.3125],\n",
+       "       [355.3125, 357.1875],\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-33dcc251-c7b7-4f92-b572-b9ad8f52fb9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33dcc251-c7b7-4f92-b572-b9ad8f52fb9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5551035-0d2f-45e0-8e24-efb7135de311' class='xr-var-data-in' type='checkbox'><label for='data-b5551035-0d2f-45e0-8e24-efb7135de311' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
+       "         245.7746 ],\n",
+       "        [247.9249 , 247.88907, 247.8376 , ..., 248.02216, 248.00014,\n",
+       "         247.9668 ],\n",
+       "        [249.23178, 249.0986 , 248.96024, ..., 249.57938, 249.47083,\n",
+       "         249.35333],\n",
+       "        ...,\n",
+       "        [235.02655, 235.05426, 235.10416, ..., 234.9508 , 234.98038,\n",
+       "         234.99237],\n",
+       "        [235.25314, 235.26389, 235.27103, ..., 235.23233, 235.23886,\n",
+       "         235.24411],\n",
+       "        [235.17322, 235.17322, 235.17322, ..., 235.17322, 235.17322,\n",
+       "         235.17322]],\n",
+       "\n",
+       "       [[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
+       "         216.69006],\n",
+       "        [221.2711 , 221.17845, 221.0774 , ..., 221.54146, 221.45746,\n",
+       "         221.36563],\n",
+       "        [222.4093 , 222.21126, 222.01859, ..., 222.97116, 222.79462,\n",
+       "         222.60745],\n",
+       "...\n",
+       "        [260.1312 , 260.27594, 260.4571 , ..., 259.6172 , 259.85443,\n",
+       "         259.9823 ],\n",
+       "        [260.9766 , 261.02008, 261.06494, ..., 260.78476, 260.81964,\n",
+       "         260.9129 ],\n",
+       "        [260.44238, 260.44238, 260.44238, ..., 260.44238, 260.44238,\n",
+       "         260.44238]],\n",
+       "\n",
+       "       [[255.0323 , 255.0323 , 255.0323 , ..., 255.0323 , 255.0323 ,\n",
+       "         255.0323 ],\n",
+       "        [255.66856, 255.65044, 255.61559, ..., 255.71199, 255.71211,\n",
+       "         255.70273],\n",
+       "        [256.3542 , 256.28113, 256.23715, ..., 256.52188, 256.4641 ,\n",
+       "         256.40552],\n",
+       "        ...,\n",
+       "        [249.08134, 249.0689 , 249.07765, ..., 249.08594, 249.12238,\n",
+       "         249.12424],\n",
+       "        [248.89888, 248.90686, 248.92628, ..., 248.76369, 248.80582,\n",
+       "         248.8551 ],\n",
+       "        [248.21404, 248.21404, 248.21404, ..., 248.21404, 248.21404,\n",
+       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9d44c04-7b08-48aa-89f0-45f55f96798f' class='xr-section-summary-in' type='checkbox'  ><label for='section-a9d44c04-7b08-48aa-89f0-45f55f96798f' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192, time: 625)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "  * time      (time) datetime64[ns] 1850-01-01 1850-04-01 ... 2006-01-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (time, lat, lon) float32 245.8 245.8 245.8 ... 248.2 248.2 248.2\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "e6f45b58-4a2b-4142-9d4c-49bf2525cb67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "season_config_dict = {\"dec_mode\": \"DJF\", \"drop_incomplete_djf\": True}\n",
+    "ds_gra_season2 = ds.temporal.group_average(\"ts\", freq=\"season\", season_config=season_config_dict)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "1eca45d6-04a4-40c5-9d52-0c0adaebfb59",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(623, 145, 192)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season2.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "466297d4-4276-4a2e-b17c-c6d158624f52",
+   "metadata": {},
+   "outputs": [
+    {
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+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 145, lon: 192, bnds: 2, time: 623)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "  * time      (time) datetime64[ns] 1850-04-01 1850-07-01 ... 2005-10-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
+       "    ts        (time, lat, lon) float32 216.7 216.7 216.7 ... 260.4 260.4 260.4\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9eae3a83-dd79-49c3-8efe-b7045337a2e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9eae3a83-dd79-49c3-8efe-b7045337a2e1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d0db6ade-5723-4754-a6e9-66b1f0b71e93' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0db6ade-5723-4754-a6e9-66b1f0b71e93' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c426da87-fe3e-40d1-9a16-854b8847197d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c426da87-fe3e-40d1-9a16-854b8847197d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fa337ad-b186-4a21-a295-8c60d71b7d8b' class='xr-var-data-in' type='checkbox'><label for='data-0fa337ad-b186-4a21-a295-8c60d71b7d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ed85691f-9109-4d01-83f8-d19ead2b63c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed85691f-9109-4d01-83f8-d19ead2b63c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfef365b-6e0a-4a2e-b5f7-84309bb86e90' class='xr-var-data-in' type='checkbox'><label for='data-dfef365b-6e0a-4a2e-b5f7-84309bb86e90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-aa5e3cb5-4e2c-4901-8072-81eae4a2c0ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa5e3cb5-4e2c-4901-8072-81eae4a2c0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8ffd854-babd-436a-9160-4453d0725647' class='xr-var-data-in' type='checkbox'><label for='data-a8ffd854-babd-436a-9160-4453d0725647' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;1850-10-01T00:00:00.000000000&#x27;, ..., &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c203253-0553-46a6-8188-e90d866421c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c203253-0553-46a6-8188-e90d866421c4' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4189c3d7-cd0b-46a4-8aca-9d3a6dc57f7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4189c3d7-cd0b-46a4-8aca-9d3a6dc57f7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfe2a3f8-f095-4ce4-8773-3ec4f56cb7e7' class='xr-var-data-in' type='checkbox'><label for='data-bfe2a3f8-f095-4ce4-8773-3ec4f56cb7e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       [-89.375, -88.125],\n",
+       "       [-88.125, -86.875],\n",
+       "       ...,\n",
+       "       [ 86.875,  88.125],\n",
+       "       [ 88.125,  89.375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12d58601-6c8a-47d7-9e3a-10594d8c26bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12d58601-6c8a-47d7-9e3a-10594d8c26bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f0a6e8-8e01-413c-85db-c602ca855c54' class='xr-var-data-in' type='checkbox'><label for='data-c4f0a6e8-8e01-413c-85db-c602ca855c54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [  0.9375,   2.8125],\n",
+       "       [  2.8125,   4.6875],\n",
+       "       ...,\n",
+       "       [353.4375, 355.3125],\n",
+       "       [355.3125, 357.1875],\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-9291d94e-0b06-4cf7-864f-04ad7120b233' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9291d94e-0b06-4cf7-864f-04ad7120b233' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0af8e671-297d-4414-abf9-f0310043a913' class='xr-var-data-in' type='checkbox'><label for='data-0af8e671-297d-4414-abf9-f0310043a913' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
+       "         216.69006],\n",
+       "        [221.2711 , 221.17845, 221.0774 , ..., 221.54146, 221.45746,\n",
+       "         221.36563],\n",
+       "        [222.4093 , 222.21126, 222.01859, ..., 222.97116, 222.79462,\n",
+       "         222.60745],\n",
+       "        ...,\n",
+       "        [252.47852, 252.54172, 252.60825, ..., 252.26718, 252.33838,\n",
+       "         252.40701],\n",
+       "        [252.24442, 252.27109, 252.30112, ..., 252.16464, 252.18777,\n",
+       "         252.21985],\n",
+       "        [251.60664, 251.60664, 251.60664, ..., 251.60664, 251.60664,\n",
+       "         251.60664]],\n",
+       "\n",
+       "       [[208.37415, 208.37415, 208.37415, ..., 208.37415, 208.37415,\n",
+       "         208.37415],\n",
+       "        [214.52219, 214.47375, 214.43298, ..., 214.62953, 214.59229,\n",
+       "         214.55405],\n",
+       "        [216.02771, 215.94063, 215.85844, ..., 216.31018, 216.22244,\n",
+       "         216.12088],\n",
+       "...\n",
+       "        [272.2145 , 272.20975, 272.2072 , ..., 272.22623, 272.21893,\n",
+       "         272.2175 ],\n",
+       "        [272.19614, 272.19522, 272.19733, ..., 272.1866 , 272.19006,\n",
+       "         272.1986 ],\n",
+       "        [272.14172, 272.14172, 272.14172, ..., 272.14172, 272.14172,\n",
+       "         272.14172]],\n",
+       "\n",
+       "       [[226.63501, 226.63501, 226.63501, ..., 226.63501, 226.63501,\n",
+       "         226.63501],\n",
+       "        [229.93898, 229.88812, 229.82063, ..., 230.1015 , 230.04771,\n",
+       "         229.99788],\n",
+       "        [230.81123, 230.66733, 230.51959, ..., 231.22829, 231.09572,\n",
+       "         230.9584 ],\n",
+       "        ...,\n",
+       "        [260.1312 , 260.27594, 260.4571 , ..., 259.6172 , 259.85443,\n",
+       "         259.9823 ],\n",
+       "        [260.9766 , 261.02008, 261.06494, ..., 260.78476, 260.81964,\n",
+       "         260.9129 ],\n",
+       "        [260.44238, 260.44238, 260.44238, ..., 260.44238, 260.44238,\n",
+       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70b1c325-9ba2-472e-9ee1-3f917cf1021c' class='xr-section-summary-in' type='checkbox'  ><label for='section-70b1c325-9ba2-472e-9ee1-3f917cf1021c' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 145, lon: 192, bnds: 2, time: 623)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "  * time      (time) datetime64[ns] 1850-04-01 1850-07-01 ... 2005-10-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (time, lat, lon) float32 216.7 216.7 216.7 ... 260.4 260.4 260.4\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15adc8db-a9de-4ccb-bb34-b31e4f7fedd5",
+   "metadata": {},
+   "source": [
+    "### 2.4 Day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "ef6ab42f-c91b-4049-bd22-a027db7ea9a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_day = ds.temporal.group_average(\"ts\", freq=\"day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "735e7f9d-c35e-481f-9639-c698acf6618a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1872, 145, 192)"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_day.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'ds_gra_hour' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [43]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mds_gra_hour\u001b[49m\u001b[38;5;241m.\u001b[39mts[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m-\u001b[39m ds_gra_month\u001b[38;5;241m.\u001b[39mts[\u001b[38;5;241m0\u001b[39m]\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'ds_gra_hour' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "ds_gra_hour.ts[0] - ds_gra_month.ts[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "95c405c5-10d9-4017-b2f6-86567eb50d8c",
+   "metadata": {},
+   "source": [
+    "### 2.5 Hour"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_hour = ds.temporal.group_average(\"ts\", freq=\"hour\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_hour.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_hour.ts[0] - ds_gra_day.ts[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c48c0ef6-3819-40fe-8cd0-d8df3b451827",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

From 70573c3630d12b97bb198f9627801f67e0d5b5e8 Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Wed, 18 May 2022 15:46:48 -0700
Subject: [PATCH 2/7] update

---
 devel_test/README.md                        |    1 +
 {test => devel_test}/temporal_average.ipynb | 1035 ++++++++++++++++++-
 test/README.md                              |    1 -
 3 files changed, 984 insertions(+), 53 deletions(-)
 create mode 100644 devel_test/README.md
 rename {test => devel_test}/temporal_average.ipynb (93%)
 delete mode 100644 test/README.md

diff --git a/devel_test/README.md b/devel_test/README.md
new file mode 100644
index 0000000..bd93ca8
--- /dev/null
+++ b/devel_test/README.md
@@ -0,0 +1 @@
+This directory is for testings during the development process.
diff --git a/test/temporal_average.ipynb b/devel_test/temporal_average.ipynb
similarity index 93%
rename from test/temporal_average.ipynb
rename to devel_test/temporal_average.ipynb
index 36f5cc4..738c1ed 100644
--- a/test/temporal_average.ipynb
+++ b/devel_test/temporal_average.ipynb
@@ -1069,6 +1069,78 @@
     "ds_ave_month.ts.plot()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "122d2caa-7c89-4bc2-9de9-802c7b33ec56",
+   "metadata": {},
+   "source": [
+    "#### 1.1.2 Center times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "1bc848e3-3cf0-4460-a8e1-1044839d7561",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month_center = ds.temporal.average(\"ts\", freq=\"month\", center_times=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "371b253d-999d-4820-9c10-f48133d04b0e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(145, 192)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_month_center.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "d207d41b-e09b-4bbc-a77c-84dd229a5b8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15e9a60d0>"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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EWkl/zth3pOZFxFO35CLiLkmP5eyY+5TXtyQtpWg8EvCxiKhkwY+MNNqM862XdAxwMTARODMibm73eczMRmXD6A8x3PedpKPS+tOBpcB8YCXwGHBEo31biUPS+4EPADtLWl5atQ3wq5xj5D7lJWA/YOeI+LSkGZL2ioirRxp0rohYSnERzcz6Tu47Jjnqfd+lRFKZD4YZJbeN35XfBX4M/CdQfp/l4Yh4IOcAube8vk6Ri18NfBp4GLgQeHF2qGZm4804elM+Ih6kaCc/rNVj5CaUvSNirqTr04n/ImnzVk9qZjYu+NnSKrkJ5cn06FhlPJQdaMvdQzOzscsDbFXLfbHxFGAxsKOkzwC/BD7bsajMzMYCjylfJfcpr3MlXUvRMC/goIi4taORmZn1swD5Pk2VhglF0valxfuA88rrclv+zczGpQGqfeRoVkO5lo2v988A/pLmtwXuAmZ1Mjgzs37mNpRqDdtQImJWROxM8dLMmyJickQ8k2IsFA+uZWZmT8ltlH9xenkGgIj4MRldGZuZjWtulK+S+9jwOkmfAL5DcXneQTGCo5nZYHKj/CZyayiHATtQPDq8OM23/Dalmdm44BpKldzHhh8Aju1wLGZmY4Zwo3ythjUUSSc2O0DONmZm45JrKFWa1VD+VdJDDdaLov/9E9sWkZnZWNDG3obHi2YJ5QyajyV8RptiMTMbW5xQqjRMKBHxqW4FYmY21vgpr2q5jw2bmVkt11CqOKGYmbViwBrcczihmJm1yI3y1bJebJS0q6RLJd2UlndPb86bmQ0uPzZcJfdN+TOAE4AnASJiOcXjwmZmA0uRNw2K3ISyZURcXVO2fjQnlvQFSbdJWi5psaRtU/lMSX+TdEOaTh/NeczMOiIoBkLPmQZEbkJZJ2kXNo4pfwiwdpTnvgR4YUTsDvyeogZUcUdEzEnTUaM8j5lZ22kE06DIbZQ/GlgEPF/SPcAfKHocbllE/LS0eBVwyGiOZ2bWdQN0OytHbueQdwKvkbQVMCEiHm5zHO8BLigtz5J0PfAQ8ImI+EW9nSQtBBYCTNxuuzaHZGbW2CC1j+RoNqb8h4YpByAivtxk/58Bz6qz6uMR8aO0zccp2mPOTevWAjMi4n5JewI/lPSCiNikT7GIWERRc2LSjOn+pzWz7vK3TpVmNZRKP17PA14MLEnLbwKubHbwiHhNo/WSDqcYTni/iIi0z+PA42n+Wkl3ALsCy5qdz8ysazzA1iay+vKS9FNgbuVWV+qy/vujObGk/YH/AF4ZEY+VyncAHoiIIUk7A7OBO0dzLjOzjnANpUpuo/wM4InS8hPAzFGe+2vAJOCSdAvtqvRE177ApyWtB4aAo9IAX2ZmfcVtKNVyE8o5wNWSFlPk5IOBs0dz4oh47jDlFwIXjubYZmZd4YRSJfcpr89I+jHwilR0RERc37mwzMz6n2so1bISiqQZwDpgcbksIu7qVGBmZn1twPrpypF7y+u/2Xjpng7MAlYAL+hEUGZm/U74Ka9aube8/rG8LGku8L6ORGRmNla4hlIlty+vKhFxHcV7KWZmA0sRWdOoziFtL+kSSbenn3W7BZG0v6QVklZKOr5UXrcj3k7IHQ/lQ6XpOEnfBf7cqaDMzPpe7lgoo6/FHA9cGhGzgUvTchVJE4FTgQOA3YDDJO2WVjfqiLetcmso25SmSRRtKgs6FZSZ2VjQpfFQFgBnpfmzgIPqbLMXsDIi7oyIJ4Dz035ExE8jojLcyFXAtFFHNIzcRvlbIqLqzXhJb2GUb8ubmY1lXWqU3yki1gJExFpJO9bZZipwd2l5NbB3ne1qO+Jtq9yEcgKbJo96ZWZmgyO/9jFZUrk/wkWpc1ugcUe6mcevN+xKVXR1OuJtu2a9DR8AzAemSjqltOofGOWIjWZmY9rIbmeti4h5wx6qQUe6ku6VNCXVTqYA99XZbDUwvbQ8DVhTOsYmHfF2QrM2lDUUvfz+Hbi2NC0BXt+poMzMxoTuNMovAQ5P84cDP6qzzTXAbEmzJG0OHJr2K3fEe2C5I95OaNbb8I3AjZLOLTXqmJkNPNG1rlc+B3xP0pHAXcBbACQ9G/hmRMyPiPWSjgEuBiYCZ0bEzWn/4Tribbtmt7y+FxFvBa6XNr106TE0M7PB1Lm7R6VTxP3AfnXK11A0SVSWlwJL62xXtyPeTmjWKH9s+vnGTgdiZjameICtTTRsQ6k8qgZ8ICL+WJ6AD3Q+PDOz/qUNedOgyH2x8bV1yg5oZyBmZmNOdxrlx4xmbSjvp6iJ7CxpeWnVNsCvOhmYmVm/83go1Zq1oXwX+DHwn1T3H/Owh+U1s4EWdKVRfixp9tjwg8CDwGEA6ZX/LYCtJW3tAbbMbJC5hlItt7fhN0m6HfgDcAWwiqLmYmY2kCoDbLlRfqPcRvn/DbwE+H1EzKJ4JtptKGY2uCLypwGRm1CeTC/XTJA0ISIuA+aM5sSSTpR0j6Qb0jS/tO6ENEjMCknu4sXM+lKXuq8fM3J7G/6rpK2BK4FzJd1HezqHPDkivlguSIPCHEoxXv2zgZ9J2jUihtpwPjOz9hmgZJEjt4ayAPgb8D+BnwB3AG/qUEwLgPMj4vGI+AOwkmLwGDOzvuIaSrWsGkpEPFpaPGvYDUfuGEnvoujR+MMR8ReKgWKuKm2zOpVtQtJCYCHAxO3qDrNsZtYZAQwNULbI0OzFxoepX6kTEBHxD032bzRozGnASen4JwFfohhNrOlAMU8VFgPULAKYNGO6/2XNrKsGqfaRo9l7KNuM5uCNBo0pk3QGcFFabDhQjJlZ3xigJ7hy5LahtF0aeaziYOCmNL8EOFTSJEmzgNnA1d2Oz8ysGbehVMt9yqsTPi9pDsXtrFXA+wAi4mZJ3wNuoXiS7Gg/4WVmfWfAOn7M0bOEEhHvbLDuM8BnuhiOmdmIFCM2OqOU9bKGYmY2pslPeVVxQjEza4VveW3CCcXMrCWD1U9XDicUM7MWDdITXDmcUMzMWuUaShUnFDOzVsRgjXWSwwnFzKxVG1xDKXNCMTNrkd9DqeaEYmbWKieUKk4oZmatCMBtKFWcUMzMWiDCt7xqOKGYmbVqg6soZU4oZmat8C2vTTihmJm1yLe8qjmhmJm1ygmlihOKmVlL3DlkLScUM7NWBE4oNZxQzMxa5AG2qk3odQBmZmNWRN40CpK2l3SJpNvTz+2G2W5/SSskrZR0fJ31x0kKSZNHFVADTihmZq0Iis4hc6bROR64NCJmA5em5SqSJgKnAgcAuwGHSdqttH468FrgrtEG04gTiplZSzJrJ6NvZ1kAnJXmzwIOqrPNXsDKiLgzIp4Azk/7VZwMfJQOD1rcszYUSRcAz0uL2wJ/jYg5kmYCtwIr0rqrIuKo7kdoZtZEfrKYLGlZaXlRRCzK3HeniFhbnC7WStqxzjZTgbtLy6uBvQEkHQjcExE3SsqNtyU9SygR8bbKvKQvAQ+WVt8REXO6HpSZ2UjkJ5R1ETFvuJWSfgY8q86qj2cev16mCElbpmO8LvM4o9Lzp7xUpMy3Aq/udSxmZtkiYGioTYeK1wy3TtK9kqak2skU4L46m60GppeWpwFrgF2AWUCldjINuE7SXhHxp7YEX9IPbSivAO6NiNtLZbMkXS/pCkmvGG5HSQslLZO0bOiRRzsfqZlZWXfaUJYAh6f5w4Ef1dnmGmC2pFmSNgcOBZZExO8iYseImBkRMykSz9xOJBPocA2lUTUuIioX5TDgvNK6tcCMiLhf0p7ADyW9ICIeqj1Iuge5CGDSjOl+INzMuqfylFfnfQ74nqQjKZ7SeguApGcD34yI+RGxXtIxwMXARODMiLi5G8GVdTShNKrGAUh6GvDPwJ6lfR4HHk/z10q6A9gVWFb3IGZmvdKFN+Uj4n5gvzrla4D5peWlwNImx5rZ7vjKen3L6zXAbRGxulIgaYf0TDWSdgZmA3f2KD4zs+F155bXmNHrRvlDqb7dBbAv8GlJ64Eh4KiIeKDrkZmZNdLGRvnxoqcJJSLeXafsQuDC7kdjZjZCA1T7yNHrGoqZ2djlhFLFCcXMrCVt6adrXHFCMTNrRUCEB5Uvc0IxM2uVayhVnFDMzFrhp7w24YRiZtYqN8pXcUIxM2tRbHAbSpkTiplZSwbrLfgcTihmZq3oXueQY4YTiplZCwIIN8pXcUIxM2tFBPg9lCpOKGZmLQrf8qrihGJm1irXUKooxslTCpL+DDwKrOt1LDUm45hy9WNcjinPWIvpORGxw2gOLukn6Rw51kXE/qM531gwbhIKgKRlETGv13GUOaZ8/RiXY8rjmAx6P2KjmZmNE04oZmbWFuMtoSzqdQB1OKZ8/RiXY8rjmGx8taGYmVnvjLcaipmZ9YgTipmZtcW4SCiS9pe0QtJKScf3OJZVkn4n6QZJy1LZ9pIukXR7+rldh2M4U9J9km4qlQ0bg6QT0rVbIen1XYzpREn3pGt1g6T5XY5puqTLJN0q6WZJx6bynl2rBjH17FpJ2kLS1ZJuTDF9KpX3+ndquLh6+ns10CJiTE/AROAOYGdgc+BGYLcexrMKmFxT9nng+DR/PPBfHY5hX2AucFOzGIDd0jWbBMxK13Jil2I6ETiuzrbdimkKMDfNbwP8Pp27Z9eqQUw9u1aAgK3T/GbAb4GX9MHv1HBx9fT3apCn8VBD2QtYGRF3RsQTwPnAgh7HVGsBcFaaPws4qJMni4grgQcyY1gAnB8Rj0fEH4CVFNe0GzENp1sxrY2I69L8w8CtwFR6eK0axDScbsQUEfFIWtwsTUHvf6eGi2s4XYlrkI2HhDIVuLu0vJrG/wE7LYCfSrpW0sJUtlNErIXiCwPYsQdxDRdDr6/fMZKWp1tilVsmXY9J0kzgRRR/5fbFtaqJCXp4rSRNlHQDcB9wSUT0xXUaJi7ok9+rQTMeEorqlPXyWeh9ImIucABwtKR9exhLjl5ev9OAXYA5wFrgS72ISdLWwIXAByPioUab1inrSFx1YurptYqIoYi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+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_month.ts - ds_ave_month_center.ts).plot()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "51da8d84-70a1-426f-a92b-60696e2e3abf",
@@ -4214,62 +4286,921 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'ds_gra_hour' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[0;32mIn [43]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mds_gra_hour\u001b[49m\u001b[38;5;241m.\u001b[39mts[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m-\u001b[39m ds_gra_month\u001b[38;5;241m.\u001b[39mts[\u001b[38;5;241m0\u001b[39m]\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'ds_gra_hour' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "ds_gra_hour.ts[0] - ds_gra_month.ts[0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "95c405c5-10d9-4017-b2f6-86567eb50d8c",
-   "metadata": {},
-   "source": [
-    "### 2.5 Hour"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_gra_hour = ds.temporal.group_average(\"ts\", freq=\"hour\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_gra_hour.ts.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_gra_hour.ts[0] - ds_gra_day.ts[0]"
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+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ts&#x27; (lat: 145, lon: 192)&gt;\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-72f63034-f772-4f24-aa57-e187822235c9' class='xr-array-in' type='checkbox' checked><label for='section-72f63034-f772-4f24-aa57-e187822235c9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c4c9d7a2-4c88-4653-bb04-375be341b6f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4c9d7a2-4c88-4653-bb04-375be341b6f3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-08a2c015-619d-4369-9aed-81faf99ae34c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08a2c015-619d-4369-9aed-81faf99ae34c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6f54d5-38d8-4e22-892d-65a74581bd39' class='xr-var-data-in' type='checkbox'><label for='data-af6f54d5-38d8-4e22-892d-65a74581bd39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-0757b1f9-beb3-42d7-870b-97ebd1b2b7fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0757b1f9-beb3-42d7-870b-97ebd1b2b7fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36b4b43e-168d-4103-b931-6ba9265a9685' class='xr-var-data-in' type='checkbox'><label for='data-36b4b43e-168d-4103-b931-6ba9265a9685' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9dee8a2-2bbe-42cf-9bce-3298e0385dcc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9dee8a2-2bbe-42cf-9bce-3298e0385dcc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_day.ts[0] - ds_gra_month.ts[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "95c405c5-10d9-4017-b2f6-86567eb50d8c",
+   "metadata": {},
+   "source": [
+    "### 2.5 Hour"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_hour = ds.temporal.group_average(\"ts\", freq=\"hour\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1872, 145, 192)"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_hour.ts.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
+   "metadata": {},
+   "outputs": [
+    {
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ts&#x27; (lat: 145, lon: 192)&gt;\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bb952f09-a0e6-41fa-8b99-37f352b72914' class='xr-array-in' type='checkbox' checked><label for='section-bb952f09-a0e6-41fa-8b99-37f352b72914' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e38fa3d3-7bd1-41f4-bc34-2ab5871f84c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e38fa3d3-7bd1-41f4-bc34-2ab5871f84c1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c29fb773-d429-4ae4-b4e3-b3b540ed4470' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c29fb773-d429-4ae4-b4e3-b3b540ed4470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22055f32-f903-432f-97fb-4d41c73846fc' class='xr-var-data-in' type='checkbox'><label for='data-22055f32-f903-432f-97fb-4d41c73846fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
+       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
+       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
+       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
+       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
+       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
+       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
+       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
+       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
+       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
+       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
+       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
+       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
+       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
+       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-a6336aaf-3bc0-45a4-bd87-8daf2bbf9435' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6336aaf-3bc0-45a4-bd87-8daf2bbf9435' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3bfafbf-d31e-42f0-bb9a-1f8e83172c4d' class='xr-var-data-in' type='checkbox'><label for='data-f3bfafbf-d31e-42f0-bb9a-1f8e83172c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
+       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
+       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
+       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
+       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
+       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
+       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
+       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
+       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
+       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
+       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
+       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
+       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
+       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
+       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
+       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
+       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
+       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
+       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
+       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
+       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
+       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fba5869a-6b1d-43ed-b914-b10048197b8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fba5869a-6b1d-43ed-b914-b10048197b8f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_hour.ts[0] - ds_gra_month.ts[0]"
    ]
   },
   {
diff --git a/test/README.md b/test/README.md
deleted file mode 100644
index fe27121..0000000
--- a/test/README.md
+++ /dev/null
@@ -1 +0,0 @@
-Directory for testings during the development process

From 76bc1f767b1610584684ed3ec50ce9cdca469518 Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Wed, 18 May 2022 15:51:02 -0700
Subject: [PATCH 3/7] update

---
 devel_test/README.md              |   2 +-
 devel_test/temporal_average.ipynb | 262 +++++++++++++++---------------
 2 files changed, 133 insertions(+), 131 deletions(-)

diff --git a/devel_test/README.md b/devel_test/README.md
index bd93ca8..28724f6 100644
--- a/devel_test/README.md
+++ b/devel_test/README.md
@@ -1 +1 @@
-This directory is for testings during the development process.
+This directory is for interim tests during the development process.
diff --git a/devel_test/temporal_average.ipynb b/devel_test/temporal_average.ipynb
index 738c1ed..7681241 100644
--- a/devel_test/temporal_average.ipynb
+++ b/devel_test/temporal_average.ipynb
@@ -440,10 +440,10 @@
        "    cell_methods:      time: mean\n",
        "    cell_measures:     area: areacella\n",
        "    history:           2012-01-17T03:16:09Z altered by CMOR: replaced missing...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3ed69bf0-9b8e-45bc-bd58-7151e8c0aaf9' class='xr-array-in' type='checkbox' checked><label for='section-3ed69bf0-9b8e-45bc-bd58-7151e8c0aaf9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-c2771e01-7ec4-4678-82ff-7210d01009d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2771e01-7ec4-4678-82ff-7210d01009d7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-81033970-c60d-4cd2-9fc5-a69b93c93224' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81033970-c60d-4cd2-9fc5-a69b93c93224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1bd1ad6-3cf9-4de3-ac86-506f3d76e63a' class='xr-var-data-in' type='checkbox'><label for='data-e1bd1ad6-3cf9-4de3-ac86-506f3d76e63a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4e4dcf15-45f8-4865-9a71-5fa92898bdb3' class='xr-array-in' type='checkbox' checked><label for='section-4e4dcf15-45f8-4865-9a71-5fa92898bdb3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-4d199ecd-72e3-4b2c-a28d-a173c0c41342' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d199ecd-72e3-4b2c-a28d-a173c0c41342' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-cbee22af-722d-4c19-a428-7f4e3ce53001' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbee22af-722d-4c19-a428-7f4e3ce53001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e430685-abb1-4b06-b6b9-9d340599ff34' class='xr-var-data-in' type='checkbox'><label for='data-7e430685-abb1-4b06-b6b9-9d340599ff34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
        "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-a69c0666-706c-49c1-9da0-73715f2f1f7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a69c0666-706c-49c1-9da0-73715f2f1f7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-419677ec-8625-47bb-bec7-298c2144bfaf' class='xr-var-data-in' type='checkbox'><label for='data-419677ec-8625-47bb-bec7-298c2144bfaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-2b2810e3-e066-4fde-aca1-3c3eefc84dbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b2810e3-e066-4fde-aca1-3c3eefc84dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d688bd-42f5-4ccc-a776-9ea8ac3269f1' class='xr-var-data-in' type='checkbox'><label for='data-30d688bd-42f5-4ccc-a776-9ea8ac3269f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -459,7 +459,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-24199845-aa90-471a-9100-69ee436f6826' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24199845-aa90-471a-9100-69ee436f6826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd2b1ed3-0e50-4358-874a-9f99b1a8e322' class='xr-var-data-in' type='checkbox'><label for='data-dd2b1ed3-0e50-4358-874a-9f99b1a8e322' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-18c388a2-b82c-48cf-bfbf-5266e3aad7a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c388a2-b82c-48cf-bfbf-5266e3aad7a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b6e3f1-9d9f-40e7-9d6b-aab980860b89' class='xr-var-data-in' type='checkbox'><label for='data-12b6e3f1-9d9f-40e7-9d6b-aab980860b89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -482,7 +482,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22ad8c70-ad1f-40d8-93b3-b9c2087e0892' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22ad8c70-ad1f-40d8-93b3-b9c2087e0892' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20eddb1b-3738-4156-a163-31b048fd9e27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20eddb1b-3738-4156-a163-31b048fd9e27' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (time: 1872, lat: 145, lon: 192)>\n",
@@ -518,7 +518,9 @@
    "source": [
     "## 1. Temporal Average\n",
     "\n",
-    "### 1.1 Month"
+    "### 1.1 Month\n",
+    "\n",
+    "#### 1.1.1 `center_times=False` by default"
    ]
   },
   {
@@ -935,7 +937,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-66aa5e8a-8fa1-4e42-b82a-3bd0ab8a4454' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-66aa5e8a-8fa1-4e42-b82a-3bd0ab8a4454' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-014e9050-ecec-411e-9fbf-56f46c7f3c81' class='xr-section-summary-in' type='checkbox'  checked><label for='section-014e9050-ecec-411e-9fbf-56f46c7f3c81' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c68713f9-4070-4906-bfa5-ebf32cd77c70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c68713f9-4070-4906-bfa5-ebf32cd77c70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c359fd5-5e2a-4dcc-98dd-05ad60ccf2b0' class='xr-var-data-in' type='checkbox'><label for='data-9c359fd5-5e2a-4dcc-98dd-05ad60ccf2b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c218191b-252b-453b-8668-21460b9292ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c218191b-252b-453b-8668-21460b9292ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6670bf0d-4ea0-4ec5-8fc9-1c433d70c841' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6670bf0d-4ea0-4ec5-8fc9-1c433d70c841' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-98e52e16-25f2-4148-85df-99f972bbe1f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98e52e16-25f2-4148-85df-99f972bbe1f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8841c68d-a87f-461a-a5e7-cd7d0df66520' class='xr-var-data-in' type='checkbox'><label for='data-8841c68d-a87f-461a-a5e7-cd7d0df66520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -951,7 +953,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-41e226e9-1eba-4838-a899-b78706eae85c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41e226e9-1eba-4838-a899-b78706eae85c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2aec7e0-8c28-47d8-8bf7-8520ec98c88e' class='xr-var-data-in' type='checkbox'><label for='data-d2aec7e0-8c28-47d8-8bf7-8520ec98c88e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f99efdbc-8ff0-4479-b6e9-35539047d60f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f99efdbc-8ff0-4479-b6e9-35539047d60f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b0b6f32-7697-4f91-ba45-8d8eb21699cb' class='xr-var-data-in' type='checkbox'><label for='data-1b0b6f32-7697-4f91-ba45-8d8eb21699cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -974,19 +976,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-025ec860-fb33-42b9-8e69-e8ce7fdbf69f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-025ec860-fb33-42b9-8e69-e8ce7fdbf69f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20f1a323-9960-45a3-8e44-5e4da0454e02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20f1a323-9960-45a3-8e44-5e4da0454e02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee1d382f-2d0c-4646-b6d5-110ff3ff62c4' class='xr-var-data-in' type='checkbox'><label for='data-ee1d382f-2d0c-4646-b6d5-110ff3ff62c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-862c3877-28ba-4706-b871-4348cc47fd2f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-862c3877-28ba-4706-b871-4348cc47fd2f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ca2f686-8d38-4513-9b19-d4a4aba0b033' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ca2f686-8d38-4513-9b19-d4a4aba0b033' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88a669ac-d10d-4f42-ae79-acaa393f7ad5' class='xr-var-data-in' type='checkbox'><label for='data-88a669ac-d10d-4f42-ae79-acaa393f7ad5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6040ca8c-0967-494d-ab11-4d7b9e986f9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6040ca8c-0967-494d-ab11-4d7b9e986f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec29724d-2151-4f8e-981a-bf464ad80b94' class='xr-var-data-in' type='checkbox'><label for='data-ec29724d-2151-4f8e-981a-bf464ad80b94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95e7ea83-6a5b-44aa-a89d-a9bbbbb1ba2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95e7ea83-6a5b-44aa-a89d-a9bbbbb1ba2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8873538d-04fa-4497-baa2-a881a5a8f2f8' class='xr-var-data-in' type='checkbox'><label for='data-8873538d-04fa-4497-baa2-a881a5a8f2f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-49d52bdd-b3e1-4ba7-b69b-c21ec611e0af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49d52bdd-b3e1-4ba7-b69b-c21ec611e0af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d5e75b9-8726-400c-852e-cfd440a520db' class='xr-var-data-in' type='checkbox'><label for='data-8d5e75b9-8726-400c-852e-cfd440a520db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-e4686413-b46a-4597-9d69-ecf0a7fb49d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4686413-b46a-4597-9d69-ecf0a7fb49d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf916309-d13a-4b75-b16f-ce9ffe81256a' class='xr-var-data-in' type='checkbox'><label for='data-bf916309-d13a-4b75-b16f-ce9ffe81256a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
        "        224.63190177, 224.63190177],\n",
        "       [228.32156131, 228.26436586, 228.20520529, ..., 228.48919971,\n",
        "        228.43403387, 228.37894071],\n",
@@ -998,7 +1000,7 @@
        "       [254.19129091, 254.20466136, 254.21739569, ..., 254.14740382,\n",
        "        254.15849709, 254.17515679],\n",
        "       [253.78937694, 253.78937694, 253.78937694, ..., 253.78937694,\n",
-       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e25d7aae-d12a-4638-81ce-80c0e09645bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-e25d7aae-d12a-4638-81ce-80c0e09645bc' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd07e872-eb96-493e-9f42-7f754df6bcaf' class='xr-section-summary-in' type='checkbox'  ><label for='section-dd07e872-eb96-493e-9f42-7f754df6bcaf' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1045,7 +1047,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c15a370>"
+       "<matplotlib.collections.QuadMesh at 0x15fd93160>"
       ]
      },
      "execution_count": 10,
@@ -1074,12 +1076,12 @@
    "id": "122d2caa-7c89-4bc2-9de9-802c7b33ec56",
    "metadata": {},
    "source": [
-    "#### 1.1.2 Center times"
+    "#### 1.1.2 `center_times=True`"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 11,
    "id": "1bc848e3-3cf0-4460-a8e1-1044839d7561",
    "metadata": {},
    "outputs": [],
@@ -1089,7 +1091,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 12,
    "id": "371b253d-999d-4820-9c10-f48133d04b0e",
    "metadata": {},
    "outputs": [
@@ -1099,7 +1101,7 @@
        "(145, 192)"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1110,17 +1112,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 13,
    "id": "d207d41b-e09b-4bbc-a77c-84dd229a5b8b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15e9a60d0>"
+       "<matplotlib.collections.QuadMesh at 0x15ff2a160>"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1151,7 +1153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "id": "db763ce0-309d-4f33-9b2f-48ac1a108b35",
    "metadata": {},
    "outputs": [],
@@ -1161,7 +1163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "id": "c8cd7f03-3a2d-44c1-8e51-6cbfc870890b",
    "metadata": {},
    "outputs": [
@@ -1171,7 +1173,7 @@
        "(145, 192)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1182,7 +1184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "id": "954ec296-8bc3-4041-a756-d2087a32642f",
    "metadata": {},
    "outputs": [
@@ -1563,7 +1565,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-20412369-c675-455a-8010-a1ca5f314c3b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20412369-c675-455a-8010-a1ca5f314c3b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-781c794c-97f7-471d-9a35-d2581b1cf31c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-781c794c-97f7-471d-9a35-d2581b1cf31c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-104eeca8-1e2d-4c6c-95fd-4f51b57baf61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-104eeca8-1e2d-4c6c-95fd-4f51b57baf61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c9445c6-c2c4-433e-8aa1-9f3f235a9ca0' class='xr-var-data-in' type='checkbox'><label for='data-2c9445c6-c2c4-433e-8aa1-9f3f235a9ca0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0cf09e00-9a42-47a0-b882-41c507536fd6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0cf09e00-9a42-47a0-b882-41c507536fd6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-228b7d73-a930-4851-94a5-f657828ec638' class='xr-section-summary-in' type='checkbox'  checked><label for='section-228b7d73-a930-4851-94a5-f657828ec638' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-5dd2ba76-31e1-40b2-a68b-b92109311c60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dd2ba76-31e1-40b2-a68b-b92109311c60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96f4626c-fc44-4f6e-89dd-990d5db05b66' class='xr-var-data-in' type='checkbox'><label for='data-96f4626c-fc44-4f6e-89dd-990d5db05b66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -1579,7 +1581,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-75029e91-ec88-437a-9f21-1b1464609e1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75029e91-ec88-437a-9f21-1b1464609e1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db0ed4a6-e6cb-4edb-b995-b97f75e92d98' class='xr-var-data-in' type='checkbox'><label for='data-db0ed4a6-e6cb-4edb-b995-b97f75e92d98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ef8136fd-62fd-4101-9752-1e1fdccc21b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef8136fd-62fd-4101-9752-1e1fdccc21b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-580c8f10-c72b-4f0f-b185-b9a1cc5c46fd' class='xr-var-data-in' type='checkbox'><label for='data-580c8f10-c72b-4f0f-b185-b9a1cc5c46fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -1602,19 +1604,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07e830bf-ce17-45df-a45f-2584d85595b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07e830bf-ce17-45df-a45f-2584d85595b3' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aef75d2-fa7f-4e6f-9c63-dd56eac2bb25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6aef75d2-fa7f-4e6f-9c63-dd56eac2bb25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3ca44da-9920-4b11-8b34-dd35e4e0032f' class='xr-var-data-in' type='checkbox'><label for='data-f3ca44da-9920-4b11-8b34-dd35e4e0032f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e347f18a-6286-4153-a4a3-1b18ca667259' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e347f18a-6286-4153-a4a3-1b18ca667259' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebc91626-097c-48a9-bc00-ff1d1af710b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebc91626-097c-48a9-bc00-ff1d1af710b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e463106-75e8-4c20-b2c3-9d5757f239f5' class='xr-var-data-in' type='checkbox'><label for='data-8e463106-75e8-4c20-b2c3-9d5757f239f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a79aabe-ff51-4746-b6c7-feefcce8ff8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a79aabe-ff51-4746-b6c7-feefcce8ff8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c98592d-00e4-4bd5-b3f6-bd48d15a81f0' class='xr-var-data-in' type='checkbox'><label for='data-8c98592d-00e4-4bd5-b3f6-bd48d15a81f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7eba6415-be87-4d6d-a6cf-8aada5329d40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eba6415-be87-4d6d-a6cf-8aada5329d40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44481cae-f707-4124-8089-c7de115ab4d7' class='xr-var-data-in' type='checkbox'><label for='data-44481cae-f707-4124-8089-c7de115ab4d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.7 224.7 224.7 ... 253.8 253.8</div><input id='attrs-3116a8c4-e2a2-4167-836b-737c2a8001be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3116a8c4-e2a2-4167-836b-737c2a8001be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f64bb61-782a-42c5-98f7-be9a59cc4e18' class='xr-var-data-in' type='checkbox'><label for='data-2f64bb61-782a-42c5-98f7-be9a59cc4e18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.70702467, 224.70702467, 224.70702467, ..., 224.70702467,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.7 224.7 224.7 ... 253.8 253.8</div><input id='attrs-37db3a01-0c44-42d4-ba71-c3c1504e2163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37db3a01-0c44-42d4-ba71-c3c1504e2163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93150283-e518-4a18-a7a9-5433e67ffd76' class='xr-var-data-in' type='checkbox'><label for='data-93150283-e518-4a18-a7a9-5433e67ffd76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.70702467, 224.70702467, 224.70702467, ..., 224.70702467,\n",
        "        224.70702467, 224.70702467],\n",
        "       [228.39289164, 228.33583731, 228.27682185, ..., 228.56007983,\n",
        "        228.50507056, 228.45013048],\n",
@@ -1626,7 +1628,7 @@
        "       [254.20181155, 254.21517477, 254.22789985, ..., 254.15793764,\n",
        "        254.16902226, 254.18567783],\n",
        "       [253.79984531, 253.79984531, 253.79984531, ..., 253.79984531,\n",
-       "        253.79984531, 253.79984531]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6204bcbd-649f-4d51-8073-2bd974a85d51' class='xr-section-summary-in' type='checkbox'  ><label for='section-6204bcbd-649f-4d51-8073-2bd974a85d51' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.79984531, 253.79984531]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4c8d0db-8cae-430a-aeac-7e49696a6dbf' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4c8d0db-8cae-430a-aeac-7e49696a6dbf' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1655,7 +1657,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1666,17 +1668,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "id": "fef1d9e8-fdf6-442d-836b-39900ccba486",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c2e1790>"
+       "<matplotlib.collections.QuadMesh at 0x15ffedfa0>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1707,7 +1709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 18,
    "id": "3c439a6c-922d-412a-ae4d-63ce0a1fb80a",
    "metadata": {},
    "outputs": [],
@@ -1717,7 +1719,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 19,
    "id": "8d04dfb1-e988-4a3c-800c-3fd253ef70e7",
    "metadata": {},
    "outputs": [
@@ -1727,7 +1729,7 @@
        "(145, 192)"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1738,7 +1740,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 20,
    "id": "e213a1a4-ed01-4dae-9d65-7bb261386f5d",
    "metadata": {},
    "outputs": [
@@ -2119,7 +2121,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9031ec41-422c-49f9-b35c-0cfbdd71e43e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9031ec41-422c-49f9-b35c-0cfbdd71e43e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67e6f422-3637-4a9b-850b-4c37f44efb3a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67e6f422-3637-4a9b-850b-4c37f44efb3a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-5e2402f2-ce74-4866-95d5-98ea4114fdb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e2402f2-ce74-4866-95d5-98ea4114fdb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2124131-8427-48de-8c14-9426ab5b89ba' class='xr-var-data-in' type='checkbox'><label for='data-b2124131-8427-48de-8c14-9426ab5b89ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b79d785c-b1bf-4bab-8617-2f784b8afda6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b79d785c-b1bf-4bab-8617-2f784b8afda6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-04682988-74db-4676-8f0c-2ca398ecd580' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04682988-74db-4676-8f0c-2ca398ecd580' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-db901e98-2f8b-4703-b311-4d74c94d4a11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db901e98-2f8b-4703-b311-4d74c94d4a11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f367c7-3dde-48a1-bd8b-06974ec13db3' class='xr-var-data-in' type='checkbox'><label for='data-18f367c7-3dde-48a1-bd8b-06974ec13db3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -2135,7 +2137,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-03f0f0b2-8ccd-44d9-aae8-a30c5f27cf00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03f0f0b2-8ccd-44d9-aae8-a30c5f27cf00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6b38fec-ea7d-4744-b24f-c5656aba422e' class='xr-var-data-in' type='checkbox'><label for='data-d6b38fec-ea7d-4744-b24f-c5656aba422e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-08af4b96-8246-4f6f-ae97-ab45222cb640' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08af4b96-8246-4f6f-ae97-ab45222cb640' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cddcf923-7de9-4bcd-b2d5-f610cd72b02e' class='xr-var-data-in' type='checkbox'><label for='data-cddcf923-7de9-4bcd-b2d5-f610cd72b02e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -2158,19 +2160,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-825b0b76-65ac-4530-94d5-227fcc53b04b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-825b0b76-65ac-4530-94d5-227fcc53b04b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a003771-3fe6-472e-9e0b-951136b0adc4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a003771-3fe6-472e-9e0b-951136b0adc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf95dcb-aa96-4d35-b60f-bfe1175acb9d' class='xr-var-data-in' type='checkbox'><label for='data-7bf95dcb-aa96-4d35-b60f-bfe1175acb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a6c1fc8-5c5b-45e2-921f-8eb2ce0b1133' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4a6c1fc8-5c5b-45e2-921f-8eb2ce0b1133' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ef39136-c4c4-40b6-8aa0-078d3997bc69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ef39136-c4c4-40b6-8aa0-078d3997bc69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b44aec20-6c52-47de-92f4-6e44ac85d3f8' class='xr-var-data-in' type='checkbox'><label for='data-b44aec20-6c52-47de-92f4-6e44ac85d3f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-641997b0-1861-44e5-8d01-c6aa270eefeb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-641997b0-1861-44e5-8d01-c6aa270eefeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b365c8f7-95ff-43df-82a3-290f227f8805' class='xr-var-data-in' type='checkbox'><label for='data-b365c8f7-95ff-43df-82a3-290f227f8805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd37a4f2-8bec-44d7-87ed-785bab31a3ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd37a4f2-8bec-44d7-87ed-785bab31a3ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c959503b-332b-48da-a6a5-1bb42dd53d55' class='xr-var-data-in' type='checkbox'><label for='data-c959503b-332b-48da-a6a5-1bb42dd53d55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.9 253.9</div><input id='attrs-fa2b6483-e1ca-4358-9672-00eee3dad300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa2b6483-e1ca-4358-9672-00eee3dad300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6281a7d5-d18a-48d4-916b-c3cdfe845d0d' class='xr-var-data-in' type='checkbox'><label for='data-6281a7d5-d18a-48d4-916b-c3cdfe845d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.58977804, 224.58977804, 224.58977804, ..., 224.58977804,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.9 253.9</div><input id='attrs-2cc09f9e-4ed7-4df5-a00f-58cab976e14a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cc09f9e-4ed7-4df5-a00f-58cab976e14a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28dd5d3a-be55-4aa0-9edd-58fdf4f894c5' class='xr-var-data-in' type='checkbox'><label for='data-28dd5d3a-be55-4aa0-9edd-58fdf4f894c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.58977804, 224.58977804, 224.58977804, ..., 224.58977804,\n",
        "        224.58977804, 224.58977804],\n",
        "       [228.28868211, 228.23149187, 228.17233688, ..., 228.45628362,\n",
        "        228.40113336, 228.34605534],\n",
@@ -2182,7 +2184,7 @@
        "       [254.27302999, 254.28634596, 254.29902688, ..., 254.22930539,\n",
        "        254.24034849, 254.25695254],\n",
        "       [253.87299679, 253.87299679, 253.87299679, ..., 253.87299679,\n",
-       "        253.87299679, 253.87299679]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1704e30c-f00f-4da3-b8bf-63f743188a11' class='xr-section-summary-in' type='checkbox'  ><label for='section-1704e30c-f00f-4da3-b8bf-63f743188a11' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.87299679, 253.87299679]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4c82c74-fc0c-4767-9f84-14ea7b750693' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4c82c74-fc0c-4767-9f84-14ea7b750693' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -2211,7 +2213,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2222,17 +2224,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 21,
    "id": "829099e7-af9a-47f9-80f9-9d62efd15c35",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c3e6190>"
+       "<matplotlib.collections.QuadMesh at 0x1600f1130>"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2263,7 +2265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 22,
    "id": "a904b42d-2cd0-4e4c-8a6d-3d6e2f0610fa",
    "metadata": {},
    "outputs": [],
@@ -2273,7 +2275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 23,
    "id": "f878f09a-2b4a-47e5-8686-a0072e53e55f",
    "metadata": {},
    "outputs": [
@@ -2283,7 +2285,7 @@
        "(145, 192)"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2294,7 +2296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "id": "d8cbc6a5-48ac-4533-9d11-357dbbd9d4af",
    "metadata": {},
    "outputs": [
@@ -2675,7 +2677,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b8f85ec-68a9-4c22-9487-e15600fecbdf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b8f85ec-68a9-4c22-9487-e15600fecbdf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c01de830-25a7-474b-87de-d918db3335eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c01de830-25a7-474b-87de-d918db3335eb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-652394d5-b48c-495b-b0dd-fc810b31f557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-652394d5-b48c-495b-b0dd-fc810b31f557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba215ac5-a360-41a0-bdf3-fd44882a163a' class='xr-var-data-in' type='checkbox'><label for='data-ba215ac5-a360-41a0-bdf3-fd44882a163a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e4d3ceca-1273-4139-99ec-2b70df91d7cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4d3ceca-1273-4139-99ec-2b70df91d7cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-480d8037-c097-4561-93c3-830eff844447' class='xr-section-summary-in' type='checkbox'  checked><label for='section-480d8037-c097-4561-93c3-830eff844447' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-b741142d-9e62-44f4-8f5b-88fd4c68071b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b741142d-9e62-44f4-8f5b-88fd4c68071b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4564db8d-9eed-4a4f-9c51-a2e1159373db' class='xr-var-data-in' type='checkbox'><label for='data-4564db8d-9eed-4a4f-9c51-a2e1159373db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -2691,7 +2693,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-89db0d95-007f-4461-b1d0-315ff363d89e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89db0d95-007f-4461-b1d0-315ff363d89e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb944144-9a7e-429e-89e3-772e83a0f701' class='xr-var-data-in' type='checkbox'><label for='data-cb944144-9a7e-429e-89e3-772e83a0f701' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-178f8433-6fb0-4145-8e23-2565129078af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178f8433-6fb0-4145-8e23-2565129078af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05f86c2e-3b24-4cae-bb40-826b01a566bb' class='xr-var-data-in' type='checkbox'><label for='data-05f86c2e-3b24-4cae-bb40-826b01a566bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -2714,19 +2716,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa9bbee7-e772-45cb-8d81-3add2442026d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa9bbee7-e772-45cb-8d81-3add2442026d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b05f2d5-11ed-468c-9f80-885d25c8d36a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b05f2d5-11ed-468c-9f80-885d25c8d36a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10057d1d-c913-440e-8259-dfb4a1cc3e3c' class='xr-var-data-in' type='checkbox'><label for='data-10057d1d-c913-440e-8259-dfb4a1cc3e3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0eb4c1ef-f771-40bf-90df-d9751d1f8929' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0eb4c1ef-f771-40bf-90df-d9751d1f8929' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efb173e0-0656-4158-bfb4-2e604bbc051f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efb173e0-0656-4158-bfb4-2e604bbc051f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447e8567-dbf6-468c-be95-bf5e1ab07ab7' class='xr-var-data-in' type='checkbox'><label for='data-447e8567-dbf6-468c-be95-bf5e1ab07ab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-162f4b80-17fa-44d0-9c79-9422b21d8ee9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-162f4b80-17fa-44d0-9c79-9422b21d8ee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-478dba9d-8aa3-4098-b981-3e758c64429b' class='xr-var-data-in' type='checkbox'><label for='data-478dba9d-8aa3-4098-b981-3e758c64429b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c96b395-c6aa-4c5f-b964-bd3a0c713862' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c96b395-c6aa-4c5f-b964-bd3a0c713862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae40033d-90ec-483d-94cc-10bcf10b0b1e' class='xr-var-data-in' type='checkbox'><label for='data-ae40033d-90ec-483d-94cc-10bcf10b0b1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>230.8 230.8 230.8 ... 246.3 246.3</div><input id='attrs-11c8a406-26b3-44d9-9ebd-fbc4865ab71f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11c8a406-26b3-44d9-9ebd-fbc4865ab71f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a1786fe-7592-4f68-a0c1-fadfc46ba398' class='xr-var-data-in' type='checkbox'><label for='data-6a1786fe-7592-4f68-a0c1-fadfc46ba398' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[230.77884495, 230.77884495, 230.77884495, ..., 230.77884495,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>230.8 230.8 230.8 ... 246.3 246.3</div><input id='attrs-b1e3eaa1-2885-42b2-b89f-5260fa9d6ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1e3eaa1-2885-42b2-b89f-5260fa9d6ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd775d0-4450-44b3-8e16-18b90cf0d532' class='xr-var-data-in' type='checkbox'><label for='data-6dd775d0-4450-44b3-8e16-18b90cf0d532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[230.77884495, 230.77884495, 230.77884495, ..., 230.77884495,\n",
        "        230.77884495, 230.77884495],\n",
        "       [233.52590012, 233.47318289, 233.41881021, ..., 233.68150159,\n",
        "        233.63000608, 233.57903939],\n",
@@ -2738,7 +2740,7 @@
        "       [246.90260709, 246.91926617, 246.93478268, ..., 246.84818736,\n",
        "        246.86317563, 246.88323714],\n",
        "       [246.30439971, 246.30439971, 246.30439971, ..., 246.30439971,\n",
-       "        246.30439971, 246.30439971]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cfd61ba-9385-49ba-bb75-4ae922295ead' class='xr-section-summary-in' type='checkbox'  ><label for='section-7cfd61ba-9385-49ba-bb75-4ae922295ead' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        246.30439971, 246.30439971]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d415168-ac5c-4f9a-a2e1-1ea6a58e1bf2' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d415168-ac5c-4f9a-a2e1-1ea6a58e1bf2' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -2767,7 +2769,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2778,17 +2780,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 25,
    "id": "98e5ca4b-94c4-4b5e-a76f-47451a4c1674",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c4f65b0>"
+       "<matplotlib.collections.QuadMesh at 0x1601982e0>"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2819,7 +2821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 26,
    "id": "4ba7350f-3a50-4f40-b355-c62853c18688",
    "metadata": {},
    "outputs": [],
@@ -2829,7 +2831,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 27,
    "id": "786a3997-fe1a-4985-ae85-fb08ebfb3f6e",
    "metadata": {},
    "outputs": [
@@ -2839,7 +2841,7 @@
        "(145, 192)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2850,17 +2852,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 28,
    "id": "6d85378b-09be-4f7a-9af6-a2dbe1dcfcaa",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c577940>"
+       "<matplotlib.collections.QuadMesh at 0x16025dfa0>"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2891,17 +2893,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 29,
    "id": "dacd0704-ee42-4f20-9765-205641148381",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c385550>"
+       "<matplotlib.collections.QuadMesh at 0x1600ccb80>"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2924,17 +2926,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 30,
    "id": "84c8dd65-ddbb-402f-a8c7-f567f2b21723",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c6d66d0>"
+       "<matplotlib.collections.QuadMesh at 0x1603c1cd0>"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2957,17 +2959,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 31,
    "id": "2a458291-bf4b-4fad-8f31-d1ebca5bcc2b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c7a17c0>"
+       "<matplotlib.collections.QuadMesh at 0x16048dca0>"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2990,17 +2992,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 32,
    "id": "4e4c7f31-cc99-4670-aaa5-e29aecab6e5e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c869070>"
+       "<matplotlib.collections.QuadMesh at 0x160551520>"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3039,7 +3041,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 33,
    "id": "1e36edc2-9d01-4881-963a-830859301123",
    "metadata": {},
    "outputs": [],
@@ -3049,7 +3051,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 34,
    "id": "0086e66a-3cd9-4ebe-9d2f-36603d158409",
    "metadata": {},
    "outputs": [
@@ -3059,7 +3061,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3070,17 +3072,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 35,
    "id": "2033f778-7196-482c-95ea-fbf8f7d97e68",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15cbbb4c0>"
+       "<matplotlib.collections.QuadMesh at 0x1607d6100>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3111,7 +3113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 36,
    "id": "477b1c69-08df-48c1-8e6b-77b13d707af1",
    "metadata": {},
    "outputs": [],
@@ -3121,7 +3123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 37,
    "id": "8b199df6-0cbe-4b7d-a336-47628726ee34",
    "metadata": {},
    "outputs": [
@@ -3131,7 +3133,7 @@
        "(156, 145, 192)"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3150,7 +3152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 38,
    "id": "c478328f-63fd-4a5a-a323-bd3f54c8db24",
    "metadata": {},
    "outputs": [],
@@ -3160,7 +3162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 39,
    "id": "544c53e0-a676-431a-8a72-84b542ed2874",
    "metadata": {},
    "outputs": [
@@ -3170,7 +3172,7 @@
        "(625, 145, 192)"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3181,7 +3183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 40,
    "id": "bdf17235-d9eb-450e-b14d-8a11655a9b2e",
    "metadata": {},
    "outputs": [
@@ -3563,7 +3565,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3230d3f7-c605-4ab9-b235-63c4f6344717' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3230d3f7-c605-4ab9-b235-63c4f6344717' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57c70dfc-c040-4a40-956d-86079724e487' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57c70dfc-c040-4a40-956d-86079724e487' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-4f56fc2b-dbab-47b6-b161-478a62d1f43a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f56fc2b-dbab-47b6-b161-478a62d1f43a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c8d0397-40c3-4754-95fd-d115e94f8002' class='xr-var-data-in' type='checkbox'><label for='data-7c8d0397-40c3-4754-95fd-d115e94f8002' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-219b6af7-ce82-48ae-b30d-1e92947b2fe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-219b6af7-ce82-48ae-b30d-1e92947b2fe7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd0ef346-44b1-402b-b1a9-ebb0f6c7faaa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd0ef346-44b1-402b-b1a9-ebb0f6c7faaa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-69a8a66e-aaa3-466b-a114-853950ecf1f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69a8a66e-aaa3-466b-a114-853950ecf1f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff26447-745f-488b-92fe-874f05b2e6d3' class='xr-var-data-in' type='checkbox'><label for='data-2ff26447-745f-488b-92fe-874f05b2e6d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -3579,7 +3581,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f61b8304-89b3-405c-a9ed-7d52daaaa566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f61b8304-89b3-405c-a9ed-7d52daaaa566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb3d6e4d-08c0-4d2a-8c70-cf4988087624' class='xr-var-data-in' type='checkbox'><label for='data-fb3d6e4d-08c0-4d2a-8c70-cf4988087624' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-9342e223-84a2-42c7-bb5d-e239f0e0cd06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9342e223-84a2-42c7-bb5d-e239f0e0cd06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbb10445-a430-41b0-8afd-14aee2ad9c3a' class='xr-var-data-in' type='checkbox'><label for='data-fbb10445-a430-41b0-8afd-14aee2ad9c3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -3602,22 +3604,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-44daffe7-5f09-4c48-b4fe-14ecc614e19f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44daffe7-5f09-4c48-b4fe-14ecc614e19f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f84f5e08-a12e-43c9-8e9a-324c9dfa83a4' class='xr-var-data-in' type='checkbox'><label for='data-f84f5e08-a12e-43c9-8e9a-324c9dfa83a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-25fccad6-1094-4054-be4a-212429ef03e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25fccad6-1094-4054-be4a-212429ef03e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886733a3-9ee7-449f-ae45-95b1c4c1d3ea' class='xr-var-data-in' type='checkbox'><label for='data-886733a3-9ee7-449f-ae45-95b1c4c1d3ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-07-01T00:00:00.000000000&#x27;, ..., &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9623ffa-ea7b-4144-9402-d83fb4990d3b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9623ffa-ea7b-4144-9402-d83fb4990d3b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-618687a7-4cb8-47b0-ad62-7e37635cddf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-618687a7-4cb8-47b0-ad62-7e37635cddf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c150c168-c67b-4a78-ab31-1e95b5068187' class='xr-var-data-in' type='checkbox'><label for='data-c150c168-c67b-4a78-ab31-1e95b5068187' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-228d9f28-8e91-48c8-9f6a-75ac14e3132a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-228d9f28-8e91-48c8-9f6a-75ac14e3132a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c77a77a2-5588-4499-8e41-f4b1c6d10eca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c77a77a2-5588-4499-8e41-f4b1c6d10eca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-629c7c99-a6a8-40ee-8609-20f37add5f16' class='xr-var-data-in' type='checkbox'><label for='data-629c7c99-a6a8-40ee-8609-20f37add5f16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-892043bb-0d00-4ea0-80d9-4e8daa7c0943' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-892043bb-0d00-4ea0-80d9-4e8daa7c0943' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef636372-1341-4b90-9481-6f6742faf552' class='xr-var-data-in' type='checkbox'><label for='data-ef636372-1341-4b90-9481-6f6742faf552' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebe51572-6bb1-4de4-8f97-f42a6f0adbb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebe51572-6bb1-4de4-8f97-f42a6f0adbb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-921f319b-0d89-450c-8724-8f763f2fd0e1' class='xr-var-data-in' type='checkbox'><label for='data-921f319b-0d89-450c-8724-8f763f2fd0e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-33dcc251-c7b7-4f92-b572-b9ad8f52fb9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33dcc251-c7b7-4f92-b572-b9ad8f52fb9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5551035-0d2f-45e0-8e24-efb7135de311' class='xr-var-data-in' type='checkbox'><label for='data-b5551035-0d2f-45e0-8e24-efb7135de311' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-85e40150-b0e9-4e20-8a00-ca37fc4d2d16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85e40150-b0e9-4e20-8a00-ca37fc4d2d16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848a4136-8d4c-4726-86b8-6749dc57278f' class='xr-var-data-in' type='checkbox'><label for='data-848a4136-8d4c-4726-86b8-6749dc57278f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
        "         245.7746 ],\n",
        "        [247.9249 , 247.88907, 247.8376 , ..., 248.02216, 248.00014,\n",
        "         247.9668 ],\n",
@@ -3657,7 +3659,7 @@
        "        [248.89888, 248.90686, 248.92628, ..., 248.76369, 248.80582,\n",
        "         248.8551 ],\n",
        "        [248.21404, 248.21404, 248.21404, ..., 248.21404, 248.21404,\n",
-       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9d44c04-7b08-48aa-89f0-45f55f96798f' class='xr-section-summary-in' type='checkbox'  ><label for='section-a9d44c04-7b08-48aa-89f0-45f55f96798f' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89ac9cb7-393e-4341-92b8-b8e3f8f41188' class='xr-section-summary-in' type='checkbox'  ><label for='section-89ac9cb7-393e-4341-92b8-b8e3f8f41188' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -3687,7 +3689,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3698,7 +3700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 41,
    "id": "e6f45b58-4a2b-4142-9d4c-49bf2525cb67",
    "metadata": {},
    "outputs": [],
@@ -3709,7 +3711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 42,
    "id": "1eca45d6-04a4-40c5-9d52-0c0adaebfb59",
    "metadata": {},
    "outputs": [
@@ -3719,7 +3721,7 @@
        "(623, 145, 192)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3730,7 +3732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 43,
    "id": "466297d4-4276-4a2e-b17c-c6d158624f52",
    "metadata": {},
    "outputs": [
@@ -4112,7 +4114,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9eae3a83-dd79-49c3-8efe-b7045337a2e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9eae3a83-dd79-49c3-8efe-b7045337a2e1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d0db6ade-5723-4754-a6e9-66b1f0b71e93' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0db6ade-5723-4754-a6e9-66b1f0b71e93' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c426da87-fe3e-40d1-9a16-854b8847197d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c426da87-fe3e-40d1-9a16-854b8847197d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fa337ad-b186-4a21-a295-8c60d71b7d8b' class='xr-var-data-in' type='checkbox'><label for='data-0fa337ad-b186-4a21-a295-8c60d71b7d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-39e2ea91-238f-4107-a1a2-9e26b255c06b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39e2ea91-238f-4107-a1a2-9e26b255c06b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-95b0c7b6-3b21-4dcc-a1a0-ea95de0c810d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95b0c7b6-3b21-4dcc-a1a0-ea95de0c810d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-f7e04982-5626-4a56-8ef4-29d43e9adbca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7e04982-5626-4a56-8ef4-29d43e9adbca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1706c3a0-7e2b-47ef-8d16-f74dcdfec5cd' class='xr-var-data-in' type='checkbox'><label for='data-1706c3a0-7e2b-47ef-8d16-f74dcdfec5cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -4128,7 +4130,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ed85691f-9109-4d01-83f8-d19ead2b63c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed85691f-9109-4d01-83f8-d19ead2b63c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfef365b-6e0a-4a2e-b5f7-84309bb86e90' class='xr-var-data-in' type='checkbox'><label for='data-dfef365b-6e0a-4a2e-b5f7-84309bb86e90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-3efca2bd-3e24-4939-bec8-e48e23a21622' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3efca2bd-3e24-4939-bec8-e48e23a21622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86557bf8-2795-4e72-952d-581973cdf2dc' class='xr-var-data-in' type='checkbox'><label for='data-86557bf8-2795-4e72-952d-581973cdf2dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -4151,22 +4153,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-aa5e3cb5-4e2c-4901-8072-81eae4a2c0ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa5e3cb5-4e2c-4901-8072-81eae4a2c0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8ffd854-babd-436a-9160-4453d0725647' class='xr-var-data-in' type='checkbox'><label for='data-a8ffd854-babd-436a-9160-4453d0725647' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-d99fffc3-ce08-43d9-aa3e-38d4d8a4e9bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d99fffc3-ce08-43d9-aa3e-38d4d8a4e9bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d2156a1-11af-41bb-947a-9271d77def9e' class='xr-var-data-in' type='checkbox'><label for='data-6d2156a1-11af-41bb-947a-9271d77def9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-10-01T00:00:00.000000000&#x27;, ..., &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c203253-0553-46a6-8188-e90d866421c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c203253-0553-46a6-8188-e90d866421c4' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4189c3d7-cd0b-46a4-8aca-9d3a6dc57f7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4189c3d7-cd0b-46a4-8aca-9d3a6dc57f7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfe2a3f8-f095-4ce4-8773-3ec4f56cb7e7' class='xr-var-data-in' type='checkbox'><label for='data-bfe2a3f8-f095-4ce4-8773-3ec4f56cb7e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66e99997-2778-49fb-a810-94ce3f8f7cd2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66e99997-2778-49fb-a810-94ce3f8f7cd2' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3e4cd3f-61cc-403d-a6cb-907e481398d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3e4cd3f-61cc-403d-a6cb-907e481398d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc41edde-2739-4278-85f0-debb8d41c481' class='xr-var-data-in' type='checkbox'><label for='data-cc41edde-2739-4278-85f0-debb8d41c481' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12d58601-6c8a-47d7-9e3a-10594d8c26bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12d58601-6c8a-47d7-9e3a-10594d8c26bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f0a6e8-8e01-413c-85db-c602ca855c54' class='xr-var-data-in' type='checkbox'><label for='data-c4f0a6e8-8e01-413c-85db-c602ca855c54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78efba5f-781d-42a2-9521-ee60d4a6d303' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78efba5f-781d-42a2-9521-ee60d4a6d303' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e89150-e74c-456e-b412-933f1023e146' class='xr-var-data-in' type='checkbox'><label for='data-b9e89150-e74c-456e-b412-933f1023e146' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-9291d94e-0b06-4cf7-864f-04ad7120b233' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9291d94e-0b06-4cf7-864f-04ad7120b233' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0af8e671-297d-4414-abf9-f0310043a913' class='xr-var-data-in' type='checkbox'><label for='data-0af8e671-297d-4414-abf9-f0310043a913' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-683df60d-b7da-44af-a6ba-884a72f45cf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-683df60d-b7da-44af-a6ba-884a72f45cf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fb4e5bd-a30c-4104-92d7-22d06a430547' class='xr-var-data-in' type='checkbox'><label for='data-9fb4e5bd-a30c-4104-92d7-22d06a430547' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
        "         216.69006],\n",
        "        [221.2711 , 221.17845, 221.0774 , ..., 221.54146, 221.45746,\n",
        "         221.36563],\n",
@@ -4206,7 +4208,7 @@
        "        [260.9766 , 261.02008, 261.06494, ..., 260.78476, 260.81964,\n",
        "         260.9129 ],\n",
        "        [260.44238, 260.44238, 260.44238, ..., 260.44238, 260.44238,\n",
-       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70b1c325-9ba2-472e-9ee1-3f917cf1021c' class='xr-section-summary-in' type='checkbox'  ><label for='section-70b1c325-9ba2-472e-9ee1-3f917cf1021c' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-697f8632-db5c-4fad-aa08-c5747624234a' class='xr-section-summary-in' type='checkbox'  ><label for='section-697f8632-db5c-4fad-aa08-c5747624234a' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -4236,7 +4238,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4255,7 +4257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 44,
    "id": "ef6ab42f-c91b-4049-bd22-a027db7ea9a1",
    "metadata": {},
    "outputs": [],
@@ -4265,7 +4267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 45,
    "id": "735e7f9d-c35e-481f-9639-c698acf6618a",
    "metadata": {},
    "outputs": [
@@ -4275,7 +4277,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4286,7 +4288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 46,
    "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
    "metadata": {},
    "outputs": [
@@ -4654,13 +4656,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-72f63034-f772-4f24-aa57-e187822235c9' class='xr-array-in' type='checkbox' checked><label for='section-72f63034-f772-4f24-aa57-e187822235c9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b80bde50-40f9-4585-bc63-c62e031d0f81' class='xr-array-in' type='checkbox' checked><label for='section-b80bde50-40f9-4585-bc63-c62e031d0f81' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c4c9d7a2-4c88-4653-bb04-375be341b6f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4c9d7a2-4c88-4653-bb04-375be341b6f3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-08a2c015-619d-4369-9aed-81faf99ae34c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08a2c015-619d-4369-9aed-81faf99ae34c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6f54d5-38d8-4e22-892d-65a74581bd39' class='xr-var-data-in' type='checkbox'><label for='data-af6f54d5-38d8-4e22-892d-65a74581bd39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7cd21a44-bdd3-4b18-aaa1-e6137b8712d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7cd21a44-bdd3-4b18-aaa1-e6137b8712d8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-ea7c98e9-2737-498a-bd60-d2f59927c7df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea7c98e9-2737-498a-bd60-d2f59927c7df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2480d59-720e-4ede-916b-82f4a2a9ba7f' class='xr-var-data-in' type='checkbox'><label for='data-f2480d59-720e-4ede-916b-82f4a2a9ba7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -4676,7 +4678,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-0757b1f9-beb3-42d7-870b-97ebd1b2b7fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0757b1f9-beb3-42d7-870b-97ebd1b2b7fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36b4b43e-168d-4103-b931-6ba9265a9685' class='xr-var-data-in' type='checkbox'><label for='data-36b4b43e-168d-4103-b931-6ba9265a9685' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-43ed4505-2f63-4c32-a837-7ebb26816978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43ed4505-2f63-4c32-a837-7ebb26816978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00190f2b-fbc2-483b-865e-4067d7750df5' class='xr-var-data-in' type='checkbox'><label for='data-00190f2b-fbc2-483b-865e-4067d7750df5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -4699,7 +4701,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9dee8a2-2bbe-42cf-9bce-3298e0385dcc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9dee8a2-2bbe-42cf-9bce-3298e0385dcc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a678f3da-fcf2-4851-a5f0-fc9a28445185' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a678f3da-fcf2-4851-a5f0-fc9a28445185' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -4715,7 +4717,7 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4734,7 +4736,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 47,
    "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
    "metadata": {},
    "outputs": [],
@@ -4744,7 +4746,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 48,
    "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
    "metadata": {},
    "outputs": [
@@ -4754,7 +4756,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4765,7 +4767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 49,
    "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
    "metadata": {},
    "outputs": [
@@ -5133,13 +5135,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bb952f09-a0e6-41fa-8b99-37f352b72914' class='xr-array-in' type='checkbox' checked><label for='section-bb952f09-a0e6-41fa-8b99-37f352b72914' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-32536e4e-11dc-4a67-914f-da53afc2198a' class='xr-array-in' type='checkbox' checked><label for='section-32536e4e-11dc-4a67-914f-da53afc2198a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e38fa3d3-7bd1-41f4-bc34-2ab5871f84c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e38fa3d3-7bd1-41f4-bc34-2ab5871f84c1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-c29fb773-d429-4ae4-b4e3-b3b540ed4470' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c29fb773-d429-4ae4-b4e3-b3b540ed4470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22055f32-f903-432f-97fb-4d41c73846fc' class='xr-var-data-in' type='checkbox'><label for='data-22055f32-f903-432f-97fb-4d41c73846fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2bf38728-3cb4-4f1d-a506-7e46ec24f484' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bf38728-3cb4-4f1d-a506-7e46ec24f484' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-90e4bbe4-34d3-488e-894e-b19313161523' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90e4bbe4-34d3-488e-894e-b19313161523' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4549ef75-62ee-49af-b479-db6aa699fb9d' class='xr-var-data-in' type='checkbox'><label for='data-4549ef75-62ee-49af-b479-db6aa699fb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -5155,7 +5157,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-a6336aaf-3bc0-45a4-bd87-8daf2bbf9435' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6336aaf-3bc0-45a4-bd87-8daf2bbf9435' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3bfafbf-d31e-42f0-bb9a-1f8e83172c4d' class='xr-var-data-in' type='checkbox'><label for='data-f3bfafbf-d31e-42f0-bb9a-1f8e83172c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-c3ea8b52-29ab-48ee-a2a3-d46dc52a3213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3ea8b52-29ab-48ee-a2a3-d46dc52a3213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d32fdee-6da1-4c82-a6a9-7d212a1ece14' class='xr-var-data-in' type='checkbox'><label for='data-0d32fdee-6da1-4c82-a6a9-7d212a1ece14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -5178,7 +5180,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fba5869a-6b1d-43ed-b914-b10048197b8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fba5869a-6b1d-43ed-b914-b10048197b8f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df1a2ad6-28e6-4251-9c13-fda4da1706c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df1a2ad6-28e6-4251-9c13-fda4da1706c8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -5194,7 +5196,7 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }

From 1bb8d26240934b5fb35317c892cb1947a3cd3408 Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Wed, 18 May 2022 15:53:52 -0700
Subject: [PATCH 4/7] update

---
 devel_test/temporal_average.ipynb | 201 +++++++++++++++++-------------
 1 file changed, 117 insertions(+), 84 deletions(-)

diff --git a/devel_test/temporal_average.ipynb b/devel_test/temporal_average.ipynb
index 7681241..07f8bb9 100644
--- a/devel_test/temporal_average.ipynb
+++ b/devel_test/temporal_average.ipynb
@@ -440,10 +440,10 @@
        "    cell_methods:      time: mean\n",
        "    cell_measures:     area: areacella\n",
        "    history:           2012-01-17T03:16:09Z altered by CMOR: replaced missing...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4e4dcf15-45f8-4865-9a71-5fa92898bdb3' class='xr-array-in' type='checkbox' checked><label for='section-4e4dcf15-45f8-4865-9a71-5fa92898bdb3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-4d199ecd-72e3-4b2c-a28d-a173c0c41342' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d199ecd-72e3-4b2c-a28d-a173c0c41342' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-cbee22af-722d-4c19-a428-7f4e3ce53001' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbee22af-722d-4c19-a428-7f4e3ce53001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e430685-abb1-4b06-b6b9-9d340599ff34' class='xr-var-data-in' type='checkbox'><label for='data-7e430685-abb1-4b06-b6b9-9d340599ff34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c7ba0359-1a58-44bd-a41c-0a698bf6c3a6' class='xr-array-in' type='checkbox' checked><label for='section-c7ba0359-1a58-44bd-a41c-0a698bf6c3a6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-96c7cd72-f060-43a0-a179-0f67c1739095' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96c7cd72-f060-43a0-a179-0f67c1739095' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-d0459075-0adf-4433-ba4c-b81736ae6f44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0459075-0adf-4433-ba4c-b81736ae6f44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cecb0cb6-b2ac-45f3-8e7a-cd3d8b30c0e4' class='xr-var-data-in' type='checkbox'><label for='data-cecb0cb6-b2ac-45f3-8e7a-cd3d8b30c0e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
        "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-2b2810e3-e066-4fde-aca1-3c3eefc84dbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b2810e3-e066-4fde-aca1-3c3eefc84dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d688bd-42f5-4ccc-a776-9ea8ac3269f1' class='xr-var-data-in' type='checkbox'><label for='data-30d688bd-42f5-4ccc-a776-9ea8ac3269f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-239dc59c-c8ba-4125-b1cf-12817d7c46b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-239dc59c-c8ba-4125-b1cf-12817d7c46b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a043723e-6d80-46f9-b021-ac2089d8fa35' class='xr-var-data-in' type='checkbox'><label for='data-a043723e-6d80-46f9-b021-ac2089d8fa35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -459,7 +459,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-18c388a2-b82c-48cf-bfbf-5266e3aad7a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18c388a2-b82c-48cf-bfbf-5266e3aad7a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12b6e3f1-9d9f-40e7-9d6b-aab980860b89' class='xr-var-data-in' type='checkbox'><label for='data-12b6e3f1-9d9f-40e7-9d6b-aab980860b89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-e3cc4d60-a2af-441e-8c61-5f44604696da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3cc4d60-a2af-441e-8c61-5f44604696da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3005850a-6091-4eb5-a7e4-a6c8cee1fb22' class='xr-var-data-in' type='checkbox'><label for='data-3005850a-6091-4eb5-a7e4-a6c8cee1fb22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -482,7 +482,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-20eddb1b-3738-4156-a163-31b048fd9e27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20eddb1b-3738-4156-a163-31b048fd9e27' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8f9e670-401a-4d08-90ac-5b45cffb6fb3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8f9e670-401a-4d08-90ac-5b45cffb6fb3' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (time: 1872, lat: 145, lon: 192)>\n",
@@ -937,7 +937,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c218191b-252b-453b-8668-21460b9292ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c218191b-252b-453b-8668-21460b9292ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6670bf0d-4ea0-4ec5-8fc9-1c433d70c841' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6670bf0d-4ea0-4ec5-8fc9-1c433d70c841' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-98e52e16-25f2-4148-85df-99f972bbe1f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98e52e16-25f2-4148-85df-99f972bbe1f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8841c68d-a87f-461a-a5e7-cd7d0df66520' class='xr-var-data-in' type='checkbox'><label for='data-8841c68d-a87f-461a-a5e7-cd7d0df66520' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3b512251-5879-4c6c-a344-f8207c72f739' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3b512251-5879-4c6c-a344-f8207c72f739' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f7605b5-35d2-4ccf-9b30-c5ada957111a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f7605b5-35d2-4ccf-9b30-c5ada957111a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-98ab5ca0-bc1f-4ad4-95c9-6ed47543c9f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98ab5ca0-bc1f-4ad4-95c9-6ed47543c9f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f56b163-aed3-49aa-bc0b-6763b214c4ec' class='xr-var-data-in' type='checkbox'><label for='data-2f56b163-aed3-49aa-bc0b-6763b214c4ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -953,7 +953,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f99efdbc-8ff0-4479-b6e9-35539047d60f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f99efdbc-8ff0-4479-b6e9-35539047d60f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b0b6f32-7697-4f91-ba45-8d8eb21699cb' class='xr-var-data-in' type='checkbox'><label for='data-1b0b6f32-7697-4f91-ba45-8d8eb21699cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-13c69c0b-ed39-4a77-92d7-64b67983685b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c69c0b-ed39-4a77-92d7-64b67983685b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0c47813-3257-4644-9f1f-1bb57975ee82' class='xr-var-data-in' type='checkbox'><label for='data-e0c47813-3257-4644-9f1f-1bb57975ee82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -976,19 +976,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-862c3877-28ba-4706-b871-4348cc47fd2f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-862c3877-28ba-4706-b871-4348cc47fd2f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ca2f686-8d38-4513-9b19-d4a4aba0b033' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8ca2f686-8d38-4513-9b19-d4a4aba0b033' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88a669ac-d10d-4f42-ae79-acaa393f7ad5' class='xr-var-data-in' type='checkbox'><label for='data-88a669ac-d10d-4f42-ae79-acaa393f7ad5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07de8653-5c7a-419e-8295-999b9814b734' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07de8653-5c7a-419e-8295-999b9814b734' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe56346e-1056-46ab-be95-7fcc7e96b292' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe56346e-1056-46ab-be95-7fcc7e96b292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220d2792-ec54-4b09-8299-b2744e17ebf1' class='xr-var-data-in' type='checkbox'><label for='data-220d2792-ec54-4b09-8299-b2744e17ebf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95e7ea83-6a5b-44aa-a89d-a9bbbbb1ba2f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95e7ea83-6a5b-44aa-a89d-a9bbbbb1ba2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8873538d-04fa-4497-baa2-a881a5a8f2f8' class='xr-var-data-in' type='checkbox'><label for='data-8873538d-04fa-4497-baa2-a881a5a8f2f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-613e3443-afd8-4d7c-b99e-260e1af3c87e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-613e3443-afd8-4d7c-b99e-260e1af3c87e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa061be8-2e16-4330-b860-fbaee6b3a22e' class='xr-var-data-in' type='checkbox'><label for='data-aa061be8-2e16-4330-b860-fbaee6b3a22e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-e4686413-b46a-4597-9d69-ecf0a7fb49d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4686413-b46a-4597-9d69-ecf0a7fb49d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf916309-d13a-4b75-b16f-ce9ffe81256a' class='xr-var-data-in' type='checkbox'><label for='data-bf916309-d13a-4b75-b16f-ce9ffe81256a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-ba52efcf-f79e-4db0-8e45-efb2094bb9f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba52efcf-f79e-4db0-8e45-efb2094bb9f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6c60c45-7556-4bc4-9224-4b464e52b8bb' class='xr-var-data-in' type='checkbox'><label for='data-b6c60c45-7556-4bc4-9224-4b464e52b8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
        "        224.63190177, 224.63190177],\n",
        "       [228.32156131, 228.26436586, 228.20520529, ..., 228.48919971,\n",
        "        228.43403387, 228.37894071],\n",
@@ -1000,7 +1000,7 @@
        "       [254.19129091, 254.20466136, 254.21739569, ..., 254.14740382,\n",
        "        254.15849709, 254.17515679],\n",
        "       [253.78937694, 253.78937694, 253.78937694, ..., 253.78937694,\n",
-       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd07e872-eb96-493e-9f42-7f754df6bcaf' class='xr-section-summary-in' type='checkbox'  ><label for='section-dd07e872-eb96-493e-9f42-7f754df6bcaf' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-255bdf6b-e327-41ec-a759-7459272f4fc7' class='xr-section-summary-in' type='checkbox'  ><label for='section-255bdf6b-e327-41ec-a759-7459272f4fc7' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1047,7 +1047,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15fd93160>"
+       "<matplotlib.collections.QuadMesh at 0x1597ac310>"
       ]
      },
      "execution_count": 10,
@@ -1119,7 +1119,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15ff2a160>"
+       "<matplotlib.collections.QuadMesh at 0x15993cc40>"
       ]
      },
      "execution_count": 13,
@@ -1565,7 +1565,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0cf09e00-9a42-47a0-b882-41c507536fd6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0cf09e00-9a42-47a0-b882-41c507536fd6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-228b7d73-a930-4851-94a5-f657828ec638' class='xr-section-summary-in' type='checkbox'  checked><label for='section-228b7d73-a930-4851-94a5-f657828ec638' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-5dd2ba76-31e1-40b2-a68b-b92109311c60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5dd2ba76-31e1-40b2-a68b-b92109311c60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96f4626c-fc44-4f6e-89dd-990d5db05b66' class='xr-var-data-in' type='checkbox'><label for='data-96f4626c-fc44-4f6e-89dd-990d5db05b66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bfa8601f-6e37-4cda-ad23-12e875d525bd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bfa8601f-6e37-4cda-ad23-12e875d525bd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c3c84dd-bb63-475a-98db-7e5b484e349b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c3c84dd-bb63-475a-98db-7e5b484e349b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-65f11e69-58a5-4c26-a234-425eb739b842' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f11e69-58a5-4c26-a234-425eb739b842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b2fd93-f779-48ed-8bc4-0e81ebaa9df4' class='xr-var-data-in' type='checkbox'><label for='data-b8b2fd93-f779-48ed-8bc4-0e81ebaa9df4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -1581,7 +1581,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ef8136fd-62fd-4101-9752-1e1fdccc21b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef8136fd-62fd-4101-9752-1e1fdccc21b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-580c8f10-c72b-4f0f-b185-b9a1cc5c46fd' class='xr-var-data-in' type='checkbox'><label for='data-580c8f10-c72b-4f0f-b185-b9a1cc5c46fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-4a00810e-f7c8-46df-a2a1-04ba4f97e891' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a00810e-f7c8-46df-a2a1-04ba4f97e891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99bdb737-4272-49f7-a013-3e744923c771' class='xr-var-data-in' type='checkbox'><label for='data-99bdb737-4272-49f7-a013-3e744923c771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -1604,19 +1604,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e347f18a-6286-4153-a4a3-1b18ca667259' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e347f18a-6286-4153-a4a3-1b18ca667259' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebc91626-097c-48a9-bc00-ff1d1af710b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebc91626-097c-48a9-bc00-ff1d1af710b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e463106-75e8-4c20-b2c3-9d5757f239f5' class='xr-var-data-in' type='checkbox'><label for='data-8e463106-75e8-4c20-b2c3-9d5757f239f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a50db86-483b-4ada-a280-130bf5233165' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a50db86-483b-4ada-a280-130bf5233165' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c4e0658-3be1-47f9-acac-5496edd7c95b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c4e0658-3be1-47f9-acac-5496edd7c95b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-169f4312-11af-45a9-af6a-de2ece7dde26' class='xr-var-data-in' type='checkbox'><label for='data-169f4312-11af-45a9-af6a-de2ece7dde26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7eba6415-be87-4d6d-a6cf-8aada5329d40' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eba6415-be87-4d6d-a6cf-8aada5329d40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44481cae-f707-4124-8089-c7de115ab4d7' class='xr-var-data-in' type='checkbox'><label for='data-44481cae-f707-4124-8089-c7de115ab4d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-976b0b33-f8ef-4ca5-b04b-294d940b09f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-976b0b33-f8ef-4ca5-b04b-294d940b09f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0064a6dc-12d0-41c6-8d5b-ffc77ae00ded' class='xr-var-data-in' type='checkbox'><label for='data-0064a6dc-12d0-41c6-8d5b-ffc77ae00ded' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.7 224.7 224.7 ... 253.8 253.8</div><input id='attrs-37db3a01-0c44-42d4-ba71-c3c1504e2163' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37db3a01-0c44-42d4-ba71-c3c1504e2163' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93150283-e518-4a18-a7a9-5433e67ffd76' class='xr-var-data-in' type='checkbox'><label for='data-93150283-e518-4a18-a7a9-5433e67ffd76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.70702467, 224.70702467, 224.70702467, ..., 224.70702467,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.7 224.7 224.7 ... 253.8 253.8</div><input id='attrs-64f0449a-e26c-4454-835c-0affd7abe6ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64f0449a-e26c-4454-835c-0affd7abe6ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcd528b5-4866-4bb5-9655-39de93fa9150' class='xr-var-data-in' type='checkbox'><label for='data-dcd528b5-4866-4bb5-9655-39de93fa9150' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.70702467, 224.70702467, 224.70702467, ..., 224.70702467,\n",
        "        224.70702467, 224.70702467],\n",
        "       [228.39289164, 228.33583731, 228.27682185, ..., 228.56007983,\n",
        "        228.50507056, 228.45013048],\n",
@@ -1628,7 +1628,7 @@
        "       [254.20181155, 254.21517477, 254.22789985, ..., 254.15793764,\n",
        "        254.16902226, 254.18567783],\n",
        "       [253.79984531, 253.79984531, 253.79984531, ..., 253.79984531,\n",
-       "        253.79984531, 253.79984531]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4c8d0db-8cae-430a-aeac-7e49696a6dbf' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4c8d0db-8cae-430a-aeac-7e49696a6dbf' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.79984531, 253.79984531]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b09e0a3d-700b-4cf9-b5a9-2a4cb2b1676a' class='xr-section-summary-in' type='checkbox'  ><label for='section-b09e0a3d-700b-4cf9-b5a9-2a4cb2b1676a' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1675,7 +1675,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15ffedfa0>"
+       "<matplotlib.collections.QuadMesh at 0x159a12a00>"
       ]
      },
      "execution_count": 17,
@@ -2121,7 +2121,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b79d785c-b1bf-4bab-8617-2f784b8afda6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b79d785c-b1bf-4bab-8617-2f784b8afda6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-04682988-74db-4676-8f0c-2ca398ecd580' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04682988-74db-4676-8f0c-2ca398ecd580' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-db901e98-2f8b-4703-b311-4d74c94d4a11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db901e98-2f8b-4703-b311-4d74c94d4a11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18f367c7-3dde-48a1-bd8b-06974ec13db3' class='xr-var-data-in' type='checkbox'><label for='data-18f367c7-3dde-48a1-bd8b-06974ec13db3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-495b99af-d7fe-4989-8555-cbb1cf4b3a0d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-495b99af-d7fe-4989-8555-cbb1cf4b3a0d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-149bdf90-1f94-45b1-97b7-b5e2e88dc033' class='xr-section-summary-in' type='checkbox'  checked><label for='section-149bdf90-1f94-45b1-97b7-b5e2e88dc033' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-6f022c32-7e24-4753-a909-2ddf15f38036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f022c32-7e24-4753-a909-2ddf15f38036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d5484cd-92ab-4543-9a81-b2823966eca8' class='xr-var-data-in' type='checkbox'><label for='data-1d5484cd-92ab-4543-9a81-b2823966eca8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -2137,7 +2137,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-08af4b96-8246-4f6f-ae97-ab45222cb640' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08af4b96-8246-4f6f-ae97-ab45222cb640' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cddcf923-7de9-4bcd-b2d5-f610cd72b02e' class='xr-var-data-in' type='checkbox'><label for='data-cddcf923-7de9-4bcd-b2d5-f610cd72b02e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-09b2b4fb-cbca-4345-8c0b-f5e961a7cf6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09b2b4fb-cbca-4345-8c0b-f5e961a7cf6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18a90cc8-c96b-44c6-8f64-b4403f177d19' class='xr-var-data-in' type='checkbox'><label for='data-18a90cc8-c96b-44c6-8f64-b4403f177d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -2160,19 +2160,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a6c1fc8-5c5b-45e2-921f-8eb2ce0b1133' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4a6c1fc8-5c5b-45e2-921f-8eb2ce0b1133' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ef39136-c4c4-40b6-8aa0-078d3997bc69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ef39136-c4c4-40b6-8aa0-078d3997bc69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b44aec20-6c52-47de-92f4-6e44ac85d3f8' class='xr-var-data-in' type='checkbox'><label for='data-b44aec20-6c52-47de-92f4-6e44ac85d3f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5e75153-1f47-4939-95d7-13eae45571d1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5e75153-1f47-4939-95d7-13eae45571d1' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29c6c645-4720-4fac-bb61-5f0908a8b6ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29c6c645-4720-4fac-bb61-5f0908a8b6ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da57d9f5-65fe-4bee-99b8-912e5ebc2570' class='xr-var-data-in' type='checkbox'><label for='data-da57d9f5-65fe-4bee-99b8-912e5ebc2570' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd37a4f2-8bec-44d7-87ed-785bab31a3ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd37a4f2-8bec-44d7-87ed-785bab31a3ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c959503b-332b-48da-a6a5-1bb42dd53d55' class='xr-var-data-in' type='checkbox'><label for='data-c959503b-332b-48da-a6a5-1bb42dd53d55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba65cb1f-e67c-4587-81ab-6d5152c0bdaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba65cb1f-e67c-4587-81ab-6d5152c0bdaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d2a2615-7a0f-425d-a6a1-f8691933dc14' class='xr-var-data-in' type='checkbox'><label for='data-4d2a2615-7a0f-425d-a6a1-f8691933dc14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.9 253.9</div><input id='attrs-2cc09f9e-4ed7-4df5-a00f-58cab976e14a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cc09f9e-4ed7-4df5-a00f-58cab976e14a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28dd5d3a-be55-4aa0-9edd-58fdf4f894c5' class='xr-var-data-in' type='checkbox'><label for='data-28dd5d3a-be55-4aa0-9edd-58fdf4f894c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.58977804, 224.58977804, 224.58977804, ..., 224.58977804,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.9 253.9</div><input id='attrs-039a65a0-7a5a-49d0-9c9d-049b4029a8b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-039a65a0-7a5a-49d0-9c9d-049b4029a8b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-569f472e-335a-4b92-932f-924a389a81b6' class='xr-var-data-in' type='checkbox'><label for='data-569f472e-335a-4b92-932f-924a389a81b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.58977804, 224.58977804, 224.58977804, ..., 224.58977804,\n",
        "        224.58977804, 224.58977804],\n",
        "       [228.28868211, 228.23149187, 228.17233688, ..., 228.45628362,\n",
        "        228.40113336, 228.34605534],\n",
@@ -2184,7 +2184,7 @@
        "       [254.27302999, 254.28634596, 254.29902688, ..., 254.22930539,\n",
        "        254.24034849, 254.25695254],\n",
        "       [253.87299679, 253.87299679, 253.87299679, ..., 253.87299679,\n",
-       "        253.87299679, 253.87299679]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4c82c74-fc0c-4767-9f84-14ea7b750693' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4c82c74-fc0c-4767-9f84-14ea7b750693' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.87299679, 253.87299679]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f25a381d-f20e-4eeb-b6c3-0222f7c1f1f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-f25a381d-f20e-4eeb-b6c3-0222f7c1f1f0' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -2231,7 +2231,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1600f1130>"
+       "<matplotlib.collections.QuadMesh at 0x159afea00>"
       ]
      },
      "execution_count": 21,
@@ -2677,7 +2677,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e4d3ceca-1273-4139-99ec-2b70df91d7cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4d3ceca-1273-4139-99ec-2b70df91d7cb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-480d8037-c097-4561-93c3-830eff844447' class='xr-section-summary-in' type='checkbox'  checked><label for='section-480d8037-c097-4561-93c3-830eff844447' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-b741142d-9e62-44f4-8f5b-88fd4c68071b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b741142d-9e62-44f4-8f5b-88fd4c68071b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4564db8d-9eed-4a4f-9c51-a2e1159373db' class='xr-var-data-in' type='checkbox'><label for='data-4564db8d-9eed-4a4f-9c51-a2e1159373db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-52a068c2-3044-4d7e-a853-3aab94f28691' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52a068c2-3044-4d7e-a853-3aab94f28691' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b7bc8eb-7370-4952-8ca6-1ca472fd27c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b7bc8eb-7370-4952-8ca6-1ca472fd27c5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-350ff8a2-e8da-49b6-a8c4-75c2406d6e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-350ff8a2-e8da-49b6-a8c4-75c2406d6e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-037812d7-02fb-4255-8984-a87d803bf9e1' class='xr-var-data-in' type='checkbox'><label for='data-037812d7-02fb-4255-8984-a87d803bf9e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -2693,7 +2693,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-178f8433-6fb0-4145-8e23-2565129078af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178f8433-6fb0-4145-8e23-2565129078af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05f86c2e-3b24-4cae-bb40-826b01a566bb' class='xr-var-data-in' type='checkbox'><label for='data-05f86c2e-3b24-4cae-bb40-826b01a566bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-6d418774-0441-4e53-bdb5-5c6a8513d93e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d418774-0441-4e53-bdb5-5c6a8513d93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56962f74-a0f5-4a9c-a01a-bd1702904976' class='xr-var-data-in' type='checkbox'><label for='data-56962f74-a0f5-4a9c-a01a-bd1702904976' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -2716,19 +2716,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0eb4c1ef-f771-40bf-90df-d9751d1f8929' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0eb4c1ef-f771-40bf-90df-d9751d1f8929' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efb173e0-0656-4158-bfb4-2e604bbc051f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-efb173e0-0656-4158-bfb4-2e604bbc051f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447e8567-dbf6-468c-be95-bf5e1ab07ab7' class='xr-var-data-in' type='checkbox'><label for='data-447e8567-dbf6-468c-be95-bf5e1ab07ab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9daa7601-4a58-43f0-a324-a33933582837' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9daa7601-4a58-43f0-a324-a33933582837' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c45af71e-2ca2-49b2-82a0-43e8a89960e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c45af71e-2ca2-49b2-82a0-43e8a89960e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b74d43a2-4103-4706-9d75-9d6b950c4acf' class='xr-var-data-in' type='checkbox'><label for='data-b74d43a2-4103-4706-9d75-9d6b950c4acf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c96b395-c6aa-4c5f-b964-bd3a0c713862' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c96b395-c6aa-4c5f-b964-bd3a0c713862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae40033d-90ec-483d-94cc-10bcf10b0b1e' class='xr-var-data-in' type='checkbox'><label for='data-ae40033d-90ec-483d-94cc-10bcf10b0b1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd98dbf2-fa13-4e70-92f2-5440c39d1329' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd98dbf2-fa13-4e70-92f2-5440c39d1329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fbd7469-6d6e-4591-811b-8e209bd54c82' class='xr-var-data-in' type='checkbox'><label for='data-4fbd7469-6d6e-4591-811b-8e209bd54c82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>230.8 230.8 230.8 ... 246.3 246.3</div><input id='attrs-b1e3eaa1-2885-42b2-b89f-5260fa9d6ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1e3eaa1-2885-42b2-b89f-5260fa9d6ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd775d0-4450-44b3-8e16-18b90cf0d532' class='xr-var-data-in' type='checkbox'><label for='data-6dd775d0-4450-44b3-8e16-18b90cf0d532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[230.77884495, 230.77884495, 230.77884495, ..., 230.77884495,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>230.8 230.8 230.8 ... 246.3 246.3</div><input id='attrs-87bbca67-3dd5-49dc-868f-32a6ecc59e39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87bbca67-3dd5-49dc-868f-32a6ecc59e39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e13d8175-1c8c-48c6-bb9b-7d0ac40a7aa8' class='xr-var-data-in' type='checkbox'><label for='data-e13d8175-1c8c-48c6-bb9b-7d0ac40a7aa8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[230.77884495, 230.77884495, 230.77884495, ..., 230.77884495,\n",
        "        230.77884495, 230.77884495],\n",
        "       [233.52590012, 233.47318289, 233.41881021, ..., 233.68150159,\n",
        "        233.63000608, 233.57903939],\n",
@@ -2740,7 +2740,7 @@
        "       [246.90260709, 246.91926617, 246.93478268, ..., 246.84818736,\n",
        "        246.86317563, 246.88323714],\n",
        "       [246.30439971, 246.30439971, 246.30439971, ..., 246.30439971,\n",
-       "        246.30439971, 246.30439971]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d415168-ac5c-4f9a-a2e1-1ea6a58e1bf2' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d415168-ac5c-4f9a-a2e1-1ea6a58e1bf2' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        246.30439971, 246.30439971]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0b8941d-f7bf-49a3-bc72-aebaf402d0f1' class='xr-section-summary-in' type='checkbox'  ><label for='section-e0b8941d-f7bf-49a3-bc72-aebaf402d0f1' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -2787,7 +2787,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1601982e0>"
+       "<matplotlib.collections.QuadMesh at 0x159bbb550>"
       ]
      },
      "execution_count": 25,
@@ -2859,7 +2859,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x16025dfa0>"
+       "<matplotlib.collections.QuadMesh at 0x159c866a0>"
       ]
      },
      "execution_count": 28,
@@ -2900,7 +2900,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1600ccb80>"
+       "<matplotlib.collections.QuadMesh at 0x159af12b0>"
       ]
      },
      "execution_count": 29,
@@ -2933,7 +2933,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1603c1cd0>"
+       "<matplotlib.collections.QuadMesh at 0x159de9730>"
       ]
      },
      "execution_count": 30,
@@ -2966,7 +2966,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x16048dca0>"
+       "<matplotlib.collections.QuadMesh at 0x159eb36d0>"
       ]
      },
      "execution_count": 31,
@@ -2999,7 +2999,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x160551520>"
+       "<matplotlib.collections.QuadMesh at 0x159f6ffa0>"
       ]
      },
      "execution_count": 32,
@@ -3079,7 +3079,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1607d6100>"
+       "<matplotlib.collections.QuadMesh at 0x15a2c53a0>"
       ]
      },
      "execution_count": 35,
@@ -3103,6 +3103,39 @@
     "(ds_gra_month.ts[0]-ds.ts[0]).plot()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "5a2c01c9-660b-4592-b270-dddad399df78",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15a468790>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_month.ts[-1]-ds.ts[-1]).plot()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "6e4b95fb-49e7-4905-82ac-a174d2959d5d",
@@ -3113,7 +3146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "id": "477b1c69-08df-48c1-8e6b-77b13d707af1",
    "metadata": {},
    "outputs": [],
@@ -3123,7 +3156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "id": "8b199df6-0cbe-4b7d-a336-47628726ee34",
    "metadata": {},
    "outputs": [
@@ -3133,7 +3166,7 @@
        "(156, 145, 192)"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3152,7 +3185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "id": "c478328f-63fd-4a5a-a323-bd3f54c8db24",
    "metadata": {},
    "outputs": [],
@@ -3162,7 +3195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "id": "544c53e0-a676-431a-8a72-84b542ed2874",
    "metadata": {},
    "outputs": [
@@ -3172,7 +3205,7 @@
        "(625, 145, 192)"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3183,7 +3216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "id": "bdf17235-d9eb-450e-b14d-8a11655a9b2e",
    "metadata": {},
    "outputs": [
@@ -3565,7 +3598,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-219b6af7-ce82-48ae-b30d-1e92947b2fe7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-219b6af7-ce82-48ae-b30d-1e92947b2fe7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd0ef346-44b1-402b-b1a9-ebb0f6c7faaa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd0ef346-44b1-402b-b1a9-ebb0f6c7faaa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-69a8a66e-aaa3-466b-a114-853950ecf1f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69a8a66e-aaa3-466b-a114-853950ecf1f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ff26447-745f-488b-92fe-874f05b2e6d3' class='xr-var-data-in' type='checkbox'><label for='data-2ff26447-745f-488b-92fe-874f05b2e6d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ad2c6412-6e13-4640-b601-8967ddd02873' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad2c6412-6e13-4640-b601-8967ddd02873' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cae7a1e8-5658-469e-a31b-1d5de6f2c398' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cae7a1e8-5658-469e-a31b-1d5de6f2c398' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-dd9d9dcb-71c7-451e-8352-08b9c5af4c61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd9d9dcb-71c7-451e-8352-08b9c5af4c61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b123be7a-f6a6-4fe7-9e82-98e20068b160' class='xr-var-data-in' type='checkbox'><label for='data-b123be7a-f6a6-4fe7-9e82-98e20068b160' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -3581,7 +3614,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-9342e223-84a2-42c7-bb5d-e239f0e0cd06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9342e223-84a2-42c7-bb5d-e239f0e0cd06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbb10445-a430-41b0-8afd-14aee2ad9c3a' class='xr-var-data-in' type='checkbox'><label for='data-fbb10445-a430-41b0-8afd-14aee2ad9c3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-a49feea7-9b71-4c94-9247-e8e95cb09cc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a49feea7-9b71-4c94-9247-e8e95cb09cc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da54234-5084-4ba8-bd8a-04164944986a' class='xr-var-data-in' type='checkbox'><label for='data-4da54234-5084-4ba8-bd8a-04164944986a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -3604,22 +3637,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-25fccad6-1094-4054-be4a-212429ef03e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25fccad6-1094-4054-be4a-212429ef03e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886733a3-9ee7-449f-ae45-95b1c4c1d3ea' class='xr-var-data-in' type='checkbox'><label for='data-886733a3-9ee7-449f-ae45-95b1c4c1d3ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-0cc6a592-838a-449e-92bb-fb13469beb37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cc6a592-838a-449e-92bb-fb13469beb37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c9ee5a6-482e-42e7-b263-06ed10966903' class='xr-var-data-in' type='checkbox'><label for='data-0c9ee5a6-482e-42e7-b263-06ed10966903' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-07-01T00:00:00.000000000&#x27;, ..., &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-228d9f28-8e91-48c8-9f6a-75ac14e3132a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-228d9f28-8e91-48c8-9f6a-75ac14e3132a' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c77a77a2-5588-4499-8e41-f4b1c6d10eca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c77a77a2-5588-4499-8e41-f4b1c6d10eca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-629c7c99-a6a8-40ee-8609-20f37add5f16' class='xr-var-data-in' type='checkbox'><label for='data-629c7c99-a6a8-40ee-8609-20f37add5f16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03e87ec9-7901-4c41-a157-6b9f6be42515' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03e87ec9-7901-4c41-a157-6b9f6be42515' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55624613-c4d6-47c3-b0c6-450f672bfc9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55624613-c4d6-47c3-b0c6-450f672bfc9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4031a1f-755f-41dc-9324-8d9f96b1314b' class='xr-var-data-in' type='checkbox'><label for='data-a4031a1f-755f-41dc-9324-8d9f96b1314b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebe51572-6bb1-4de4-8f97-f42a6f0adbb7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebe51572-6bb1-4de4-8f97-f42a6f0adbb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-921f319b-0d89-450c-8724-8f763f2fd0e1' class='xr-var-data-in' type='checkbox'><label for='data-921f319b-0d89-450c-8724-8f763f2fd0e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-093850b5-c069-4022-9672-fa3c881b7dba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-093850b5-c069-4022-9672-fa3c881b7dba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4f92771-e678-4c18-a656-4c51337452cf' class='xr-var-data-in' type='checkbox'><label for='data-e4f92771-e678-4c18-a656-4c51337452cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-85e40150-b0e9-4e20-8a00-ca37fc4d2d16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85e40150-b0e9-4e20-8a00-ca37fc4d2d16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848a4136-8d4c-4726-86b8-6749dc57278f' class='xr-var-data-in' type='checkbox'><label for='data-848a4136-8d4c-4726-86b8-6749dc57278f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-b55bcbb2-4174-49eb-b2c9-0afb06dbad43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b55bcbb2-4174-49eb-b2c9-0afb06dbad43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22f0af62-d21a-480c-87ac-02fa959bf8cf' class='xr-var-data-in' type='checkbox'><label for='data-22f0af62-d21a-480c-87ac-02fa959bf8cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
        "         245.7746 ],\n",
        "        [247.9249 , 247.88907, 247.8376 , ..., 248.02216, 248.00014,\n",
        "         247.9668 ],\n",
@@ -3659,7 +3692,7 @@
        "        [248.89888, 248.90686, 248.92628, ..., 248.76369, 248.80582,\n",
        "         248.8551 ],\n",
        "        [248.21404, 248.21404, 248.21404, ..., 248.21404, 248.21404,\n",
-       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89ac9cb7-393e-4341-92b8-b8e3f8f41188' class='xr-section-summary-in' type='checkbox'  ><label for='section-89ac9cb7-393e-4341-92b8-b8e3f8f41188' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e17addee-a74f-4fbe-a76c-8b116b59215d' class='xr-section-summary-in' type='checkbox'  ><label for='section-e17addee-a74f-4fbe-a76c-8b116b59215d' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -3689,7 +3722,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3700,7 +3733,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "id": "e6f45b58-4a2b-4142-9d4c-49bf2525cb67",
    "metadata": {},
    "outputs": [],
@@ -3711,7 +3744,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "id": "1eca45d6-04a4-40c5-9d52-0c0adaebfb59",
    "metadata": {},
    "outputs": [
@@ -3721,7 +3754,7 @@
        "(623, 145, 192)"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3732,7 +3765,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "id": "466297d4-4276-4a2e-b17c-c6d158624f52",
    "metadata": {},
    "outputs": [
@@ -4114,7 +4147,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-39e2ea91-238f-4107-a1a2-9e26b255c06b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39e2ea91-238f-4107-a1a2-9e26b255c06b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-95b0c7b6-3b21-4dcc-a1a0-ea95de0c810d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95b0c7b6-3b21-4dcc-a1a0-ea95de0c810d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-f7e04982-5626-4a56-8ef4-29d43e9adbca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7e04982-5626-4a56-8ef4-29d43e9adbca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1706c3a0-7e2b-47ef-8d16-f74dcdfec5cd' class='xr-var-data-in' type='checkbox'><label for='data-1706c3a0-7e2b-47ef-8d16-f74dcdfec5cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8c18770a-2cb8-4b80-9f9c-cafbaf62432a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c18770a-2cb8-4b80-9f9c-cafbaf62432a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61337f62-652e-4392-917b-450effb8a6b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61337f62-652e-4392-917b-450effb8a6b6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-287d1a07-2a77-4701-9030-ba74bab2e11d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-287d1a07-2a77-4701-9030-ba74bab2e11d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b6f7ee0-ccda-4323-a93f-bb70980e9a9d' class='xr-var-data-in' type='checkbox'><label for='data-6b6f7ee0-ccda-4323-a93f-bb70980e9a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -4130,7 +4163,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-3efca2bd-3e24-4939-bec8-e48e23a21622' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3efca2bd-3e24-4939-bec8-e48e23a21622' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86557bf8-2795-4e72-952d-581973cdf2dc' class='xr-var-data-in' type='checkbox'><label for='data-86557bf8-2795-4e72-952d-581973cdf2dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ba805ec8-2403-4269-8d2e-0e32d2df2572' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba805ec8-2403-4269-8d2e-0e32d2df2572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc2a43d7-80b1-44b2-a34c-ab3d65305112' class='xr-var-data-in' type='checkbox'><label for='data-fc2a43d7-80b1-44b2-a34c-ab3d65305112' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -4153,22 +4186,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-d99fffc3-ce08-43d9-aa3e-38d4d8a4e9bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d99fffc3-ce08-43d9-aa3e-38d4d8a4e9bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d2156a1-11af-41bb-947a-9271d77def9e' class='xr-var-data-in' type='checkbox'><label for='data-6d2156a1-11af-41bb-947a-9271d77def9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-86bc5a1d-936c-42f2-98fe-08484e4df40f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86bc5a1d-936c-42f2-98fe-08484e4df40f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8ab3192-004a-478b-bc09-d3ad5a627ca5' class='xr-var-data-in' type='checkbox'><label for='data-e8ab3192-004a-478b-bc09-d3ad5a627ca5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-10-01T00:00:00.000000000&#x27;, ..., &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66e99997-2778-49fb-a810-94ce3f8f7cd2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66e99997-2778-49fb-a810-94ce3f8f7cd2' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3e4cd3f-61cc-403d-a6cb-907e481398d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b3e4cd3f-61cc-403d-a6cb-907e481398d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc41edde-2739-4278-85f0-debb8d41c481' class='xr-var-data-in' type='checkbox'><label for='data-cc41edde-2739-4278-85f0-debb8d41c481' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6991bbff-cf05-4696-9890-e2ce62fa47bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6991bbff-cf05-4696-9890-e2ce62fa47bb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a17b418a-60af-4a9d-b3ff-8670564ccdfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a17b418a-60af-4a9d-b3ff-8670564ccdfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6803dd9-2a4a-4356-8265-2ed22a7bf05f' class='xr-var-data-in' type='checkbox'><label for='data-b6803dd9-2a4a-4356-8265-2ed22a7bf05f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78efba5f-781d-42a2-9521-ee60d4a6d303' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78efba5f-781d-42a2-9521-ee60d4a6d303' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9e89150-e74c-456e-b412-933f1023e146' class='xr-var-data-in' type='checkbox'><label for='data-b9e89150-e74c-456e-b412-933f1023e146' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-794e7275-317b-4f4d-8097-8da3a0f9d176' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-794e7275-317b-4f4d-8097-8da3a0f9d176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-253b6ff2-26d3-4f41-9f80-a8ce57dc2af7' class='xr-var-data-in' type='checkbox'><label for='data-253b6ff2-26d3-4f41-9f80-a8ce57dc2af7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-683df60d-b7da-44af-a6ba-884a72f45cf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-683df60d-b7da-44af-a6ba-884a72f45cf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fb4e5bd-a30c-4104-92d7-22d06a430547' class='xr-var-data-in' type='checkbox'><label for='data-9fb4e5bd-a30c-4104-92d7-22d06a430547' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-960ad18f-53a8-408b-bfa0-81d454b3f648' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-960ad18f-53a8-408b-bfa0-81d454b3f648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca87a162-8e54-4fe0-bddd-f8a4c64554b0' class='xr-var-data-in' type='checkbox'><label for='data-ca87a162-8e54-4fe0-bddd-f8a4c64554b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
        "         216.69006],\n",
        "        [221.2711 , 221.17845, 221.0774 , ..., 221.54146, 221.45746,\n",
        "         221.36563],\n",
@@ -4208,7 +4241,7 @@
        "        [260.9766 , 261.02008, 261.06494, ..., 260.78476, 260.81964,\n",
        "         260.9129 ],\n",
        "        [260.44238, 260.44238, 260.44238, ..., 260.44238, 260.44238,\n",
-       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-697f8632-db5c-4fad-aa08-c5747624234a' class='xr-section-summary-in' type='checkbox'  ><label for='section-697f8632-db5c-4fad-aa08-c5747624234a' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36c0ebef-71b4-47b8-b0bd-a25816eee764' class='xr-section-summary-in' type='checkbox'  ><label for='section-36c0ebef-71b4-47b8-b0bd-a25816eee764' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -4238,7 +4271,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4257,7 +4290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 45,
    "id": "ef6ab42f-c91b-4049-bd22-a027db7ea9a1",
    "metadata": {},
    "outputs": [],
@@ -4267,7 +4300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 46,
    "id": "735e7f9d-c35e-481f-9639-c698acf6618a",
    "metadata": {},
    "outputs": [
@@ -4277,7 +4310,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4288,7 +4321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
    "metadata": {},
    "outputs": [
@@ -4656,13 +4689,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b80bde50-40f9-4585-bc63-c62e031d0f81' class='xr-array-in' type='checkbox' checked><label for='section-b80bde50-40f9-4585-bc63-c62e031d0f81' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4675a95f-b98f-4baf-94b2-7af96a944ef1' class='xr-array-in' type='checkbox' checked><label for='section-4675a95f-b98f-4baf-94b2-7af96a944ef1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7cd21a44-bdd3-4b18-aaa1-e6137b8712d8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7cd21a44-bdd3-4b18-aaa1-e6137b8712d8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-ea7c98e9-2737-498a-bd60-d2f59927c7df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea7c98e9-2737-498a-bd60-d2f59927c7df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2480d59-720e-4ede-916b-82f4a2a9ba7f' class='xr-var-data-in' type='checkbox'><label for='data-f2480d59-720e-4ede-916b-82f4a2a9ba7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-934f1850-dfbc-45f7-9853-3d32522baba9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-934f1850-dfbc-45f7-9853-3d32522baba9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-e33f40ef-e9c8-4d65-aced-c9b4ac026aa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e33f40ef-e9c8-4d65-aced-c9b4ac026aa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f0025e-f5af-4c88-beed-a642f489bbbf' class='xr-var-data-in' type='checkbox'><label for='data-90f0025e-f5af-4c88-beed-a642f489bbbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -4678,7 +4711,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-43ed4505-2f63-4c32-a837-7ebb26816978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43ed4505-2f63-4c32-a837-7ebb26816978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00190f2b-fbc2-483b-865e-4067d7750df5' class='xr-var-data-in' type='checkbox'><label for='data-00190f2b-fbc2-483b-865e-4067d7750df5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-3283bd0b-91b8-40f6-b963-605a63b75b96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3283bd0b-91b8-40f6-b963-605a63b75b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac9a5f5e-bfd0-47b0-9892-576ac1fa62d8' class='xr-var-data-in' type='checkbox'><label for='data-ac9a5f5e-bfd0-47b0-9892-576ac1fa62d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -4701,7 +4734,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a678f3da-fcf2-4851-a5f0-fc9a28445185' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a678f3da-fcf2-4851-a5f0-fc9a28445185' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5091c227-50ce-4ef6-a930-1518d87f4b9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5091c227-50ce-4ef6-a930-1518d87f4b9b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -4717,7 +4750,7 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4736,7 +4769,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
    "metadata": {},
    "outputs": [],
@@ -4746,7 +4779,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
    "metadata": {},
    "outputs": [
@@ -4756,7 +4789,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4767,7 +4800,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
    "metadata": {},
    "outputs": [
@@ -5135,13 +5168,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-32536e4e-11dc-4a67-914f-da53afc2198a' class='xr-array-in' type='checkbox' checked><label for='section-32536e4e-11dc-4a67-914f-da53afc2198a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4d7d09c4-60d9-4bb9-ab5f-857c40a0e348' class='xr-array-in' type='checkbox' checked><label for='section-4d7d09c4-60d9-4bb9-ab5f-857c40a0e348' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2bf38728-3cb4-4f1d-a506-7e46ec24f484' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bf38728-3cb4-4f1d-a506-7e46ec24f484' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-90e4bbe4-34d3-488e-894e-b19313161523' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90e4bbe4-34d3-488e-894e-b19313161523' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4549ef75-62ee-49af-b479-db6aa699fb9d' class='xr-var-data-in' type='checkbox'><label for='data-4549ef75-62ee-49af-b479-db6aa699fb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4c49a404-255e-404b-8b5c-ee2f1accb1b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c49a404-255e-404b-8b5c-ee2f1accb1b2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-54ca6772-8d27-4d24-882f-5cae9a3dd7c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54ca6772-8d27-4d24-882f-5cae9a3dd7c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44229770-01f4-46bc-a82d-92f237a5dcdd' class='xr-var-data-in' type='checkbox'><label for='data-44229770-01f4-46bc-a82d-92f237a5dcdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -5157,7 +5190,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-c3ea8b52-29ab-48ee-a2a3-d46dc52a3213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3ea8b52-29ab-48ee-a2a3-d46dc52a3213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d32fdee-6da1-4c82-a6a9-7d212a1ece14' class='xr-var-data-in' type='checkbox'><label for='data-0d32fdee-6da1-4c82-a6a9-7d212a1ece14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ce43f1b5-08ea-41ff-8a53-58bb1a99e42d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce43f1b5-08ea-41ff-8a53-58bb1a99e42d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b1cd80c-c771-41a7-9ed1-972dae3eab3a' class='xr-var-data-in' type='checkbox'><label for='data-1b1cd80c-c771-41a7-9ed1-972dae3eab3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -5180,7 +5213,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df1a2ad6-28e6-4251-9c13-fda4da1706c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df1a2ad6-28e6-4251-9c13-fda4da1706c8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e3f93fe-f118-4059-a7b2-3fabcb7e25e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e3f93fe-f118-4059-a7b2-3fabcb7e25e2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -5196,7 +5229,7 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }

From 42be68831af4a5ce5f9ec4c5b4f20875895376fd Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Wed, 18 May 2022 16:03:46 -0700
Subject: [PATCH 5/7] update

---
 devel_test/temporal_average.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/devel_test/temporal_average.ipynb b/devel_test/temporal_average.ipynb
index 07f8bb9..cb3ce84 100644
--- a/devel_test/temporal_average.ipynb
+++ b/devel_test/temporal_average.ipynb
@@ -2888,7 +2888,7 @@
    "id": "5868f234-a8a4-4b78-9507-e2f3dc97bed1",
    "metadata": {},
    "source": [
-    "## 2. Compare temporal averages that use different `freq` option"
+    "### 1.6. Compare temporal averages that use different `freq` option"
    ]
   },
   {

From 0f5a5f24373d29a40874223155e08ef25f415a69 Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Fri, 20 May 2022 11:51:42 -0700
Subject: [PATCH 6/7] temporal_average.ipynb

---
 devel_test/temporal_average.ipynb | 2257 ++++-------------------------
 1 file changed, 284 insertions(+), 1973 deletions(-)

diff --git a/devel_test/temporal_average.ipynb b/devel_test/temporal_average.ipynb
index cb3ce84..e866748 100644
--- a/devel_test/temporal_average.ipynb
+++ b/devel_test/temporal_average.ipynb
@@ -440,10 +440,10 @@
        "    cell_methods:      time: mean\n",
        "    cell_measures:     area: areacella\n",
        "    history:           2012-01-17T03:16:09Z altered by CMOR: replaced missing...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c7ba0359-1a58-44bd-a41c-0a698bf6c3a6' class='xr-array-in' type='checkbox' checked><label for='section-c7ba0359-1a58-44bd-a41c-0a698bf6c3a6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-96c7cd72-f060-43a0-a179-0f67c1739095' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96c7cd72-f060-43a0-a179-0f67c1739095' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-d0459075-0adf-4433-ba4c-b81736ae6f44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0459075-0adf-4433-ba4c-b81736ae6f44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cecb0cb6-b2ac-45f3-8e7a-cd3d8b30c0e4' class='xr-var-data-in' type='checkbox'><label for='data-cecb0cb6-b2ac-45f3-8e7a-cd3d8b30c0e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c1daebe7-77b6-4c5c-b058-cd01b3748ba5' class='xr-array-in' type='checkbox' checked><label for='section-c1daebe7-77b6-4c5c-b058-cd01b3748ba5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-2ef6ef2d-08c0-44c8-a754-5b3a4811225d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ef6ef2d-08c0-44c8-a754-5b3a4811225d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-d873df70-4965-4ff8-9015-5451ec2e03b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d873df70-4965-4ff8-9015-5451ec2e03b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f41f30f-133f-48fc-818f-9aaf650011df' class='xr-var-data-in' type='checkbox'><label for='data-4f41f30f-133f-48fc-818f-9aaf650011df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
        "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-239dc59c-c8ba-4125-b1cf-12817d7c46b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-239dc59c-c8ba-4125-b1cf-12817d7c46b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a043723e-6d80-46f9-b021-ac2089d8fa35' class='xr-var-data-in' type='checkbox'><label for='data-a043723e-6d80-46f9-b021-ac2089d8fa35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-a9e3512b-e322-486f-bff1-6e9e3608c22c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9e3512b-e322-486f-bff1-6e9e3608c22c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd1322e5-bb11-4f3b-952e-2be0d1ebac15' class='xr-var-data-in' type='checkbox'><label for='data-dd1322e5-bb11-4f3b-952e-2be0d1ebac15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -459,7 +459,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-e3cc4d60-a2af-441e-8c61-5f44604696da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3cc4d60-a2af-441e-8c61-5f44604696da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3005850a-6091-4eb5-a7e4-a6c8cee1fb22' class='xr-var-data-in' type='checkbox'><label for='data-3005850a-6091-4eb5-a7e4-a6c8cee1fb22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-05d544c8-3898-4ac9-8e2f-f6f6cf74cb4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05d544c8-3898-4ac9-8e2f-f6f6cf74cb4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-955dce3d-948a-446d-8c5a-2d711c729de0' class='xr-var-data-in' type='checkbox'><label for='data-955dce3d-948a-446d-8c5a-2d711c729de0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -482,7 +482,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8f9e670-401a-4d08-90ac-5b45cffb6fb3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8f9e670-401a-4d08-90ac-5b45cffb6fb3' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47a48d3f-eb09-48e9-bc4d-4fad98960574' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47a48d3f-eb09-48e9-bc4d-4fad98960574' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (time: 1872, lat: 145, lon: 192)>\n",
@@ -518,24 +518,32 @@
    "source": [
     "## 1. Temporal Average\n",
     "\n",
-    "### 1.1 Month\n",
-    "\n",
-    "#### 1.1.1 `center_times=False` by default"
+    "### 1.1 Default (`center_times=False`, `weighted=True`)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "5c076cb4-c584-40a8-8c70-ea649c4c602a",
+   "id": "553043f8-3982-4300-b026-6e4a73ad05b9",
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds_ave_month = ds.temporal.average(\"ts\", freq=\"month\")"
+    "ds_ave_month = ds.temporal.average(\"ts\")"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
+   "id": "347e0e12-418c-4644-94dc-b405eedcaeb7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month = ds.temporal.average(\"ts\", weighted=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "id": "40e19a21-cf46-46cf-ab5e-a48682008d40",
    "metadata": {},
    "outputs": [
@@ -545,7 +553,7 @@
        "(145, 192)"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -556,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "id": "c20553c6-3095-4e91-944e-125ad3076731",
    "metadata": {},
    "outputs": [
@@ -937,7 +945,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3b512251-5879-4c6c-a344-f8207c72f739' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3b512251-5879-4c6c-a344-f8207c72f739' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f7605b5-35d2-4ccf-9b30-c5ada957111a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f7605b5-35d2-4ccf-9b30-c5ada957111a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-98ab5ca0-bc1f-4ad4-95c9-6ed47543c9f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98ab5ca0-bc1f-4ad4-95c9-6ed47543c9f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f56b163-aed3-49aa-bc0b-6763b214c4ec' class='xr-var-data-in' type='checkbox'><label for='data-2f56b163-aed3-49aa-bc0b-6763b214c4ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7a5acba7-2ca9-410e-879c-fefd7880e0c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a5acba7-2ca9-410e-879c-fefd7880e0c4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ac48e065-29b4-436e-bda0-10eea890aa50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac48e065-29b4-436e-bda0-10eea890aa50' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-53666c22-55ef-4c10-9615-f647a7140998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53666c22-55ef-4c10-9615-f647a7140998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e071b1a-21a0-40d1-a81a-498773f67264' class='xr-var-data-in' type='checkbox'><label for='data-6e071b1a-21a0-40d1-a81a-498773f67264' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -953,7 +961,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-13c69c0b-ed39-4a77-92d7-64b67983685b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13c69c0b-ed39-4a77-92d7-64b67983685b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0c47813-3257-4644-9f1f-1bb57975ee82' class='xr-var-data-in' type='checkbox'><label for='data-e0c47813-3257-4644-9f1f-1bb57975ee82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-21c5c021-2045-4182-ae70-b1fee154277d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21c5c021-2045-4182-ae70-b1fee154277d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b19b689d-9767-4033-a619-14e231054175' class='xr-var-data-in' type='checkbox'><label for='data-b19b689d-9767-4033-a619-14e231054175' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -976,19 +984,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07de8653-5c7a-419e-8295-999b9814b734' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07de8653-5c7a-419e-8295-999b9814b734' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe56346e-1056-46ab-be95-7fcc7e96b292' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe56346e-1056-46ab-be95-7fcc7e96b292' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-220d2792-ec54-4b09-8299-b2744e17ebf1' class='xr-var-data-in' type='checkbox'><label for='data-220d2792-ec54-4b09-8299-b2744e17ebf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a572d1c4-95a2-4807-b31f-3bbce948b682' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a572d1c4-95a2-4807-b31f-3bbce948b682' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46dcab4d-c338-446f-b418-534a6861248e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46dcab4d-c338-446f-b418-534a6861248e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf79f40b-6066-42e3-b84c-00320e2d1f0d' class='xr-var-data-in' type='checkbox'><label for='data-bf79f40b-6066-42e3-b84c-00320e2d1f0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-613e3443-afd8-4d7c-b99e-260e1af3c87e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-613e3443-afd8-4d7c-b99e-260e1af3c87e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa061be8-2e16-4330-b860-fbaee6b3a22e' class='xr-var-data-in' type='checkbox'><label for='data-aa061be8-2e16-4330-b860-fbaee6b3a22e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b58d551-cfd4-47fd-9376-50f7817da743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b58d551-cfd4-47fd-9376-50f7817da743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf366ea1-6fa6-451b-a476-5110d2b09191' class='xr-var-data-in' type='checkbox'><label for='data-cf366ea1-6fa6-451b-a476-5110d2b09191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-ba52efcf-f79e-4db0-8e45-efb2094bb9f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba52efcf-f79e-4db0-8e45-efb2094bb9f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6c60c45-7556-4bc4-9224-4b464e52b8bb' class='xr-var-data-in' type='checkbox'><label for='data-b6c60c45-7556-4bc4-9224-4b464e52b8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-a4307da5-2cbc-4b90-96eb-3fd0cf406df1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4307da5-2cbc-4b90-96eb-3fd0cf406df1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c205ecf0-6f54-4319-83d2-5d18953178de' class='xr-var-data-in' type='checkbox'><label for='data-c205ecf0-6f54-4319-83d2-5d18953178de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>average</dd><dt><span>freq :</span></dt><dd>month</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
        "        224.63190177, 224.63190177],\n",
        "       [228.32156131, 228.26436586, 228.20520529, ..., 228.48919971,\n",
        "        228.43403387, 228.37894071],\n",
@@ -1000,1875 +1008,63 @@
        "       [254.19129091, 254.20466136, 254.21739569, ..., 254.14740382,\n",
        "        254.15849709, 254.17515679],\n",
        "       [253.78937694, 253.78937694, 253.78937694, ..., 253.78937694,\n",
-       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-255bdf6b-e327-41ec-a759-7459272f4fc7' class='xr-section-summary-in' type='checkbox'  ><label for='section-255bdf6b-e327-41ec-a759-7459272f4fc7' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df76a81f-c740-45f5-bdd8-139add4f6ce9' class='xr-section-summary-in' type='checkbox'  ><label for='section-df76a81f-c740-45f5-bdd8-139add4f6ce9' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 ...\n",
-       "    lon_bnds  (lon, bnds) float64 ...\n",
-       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.8 253.8 253.8\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_month"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "66e7ac8a-a4d2-428c-952f-427dde5cb6ab",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x1597ac310>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds_ave_month.ts.plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "122d2caa-7c89-4bc2-9de9-802c7b33ec56",
-   "metadata": {},
-   "source": [
-    "#### 1.1.2 `center_times=True`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "1bc848e3-3cf0-4460-a8e1-1044839d7561",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_ave_month_center = ds.temporal.average(\"ts\", freq=\"month\", center_times=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "371b253d-999d-4820-9c10-f48133d04b0e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(145, 192)"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_month_center.ts.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "d207d41b-e09b-4bbc-a77c-84dd229a5b8b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15993cc40>"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(ds_ave_month.ts - ds_ave_month_center.ts).plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "51da8d84-70a1-426f-a92b-60696e2e3abf",
-   "metadata": {},
-   "source": [
-    "### 1.2 Season"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "db763ce0-309d-4f33-9b2f-48ac1a108b35",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_ave_season = ds.temporal.average(\"ts\", freq=\"season\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "c8cd7f03-3a2d-44c1-8e51-6cbfc870890b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(145, 192)"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_season.ts.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "954ec296-8bc3-4041-a756-d2087a32642f",
-   "metadata": {},
-   "outputs": [
-    {
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-       ".xr-section-item input {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input + label {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label {\n",
-       "  cursor: pointer;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-item input:enabled + label:hover {\n",
-       "  color: var(--xr-font-color0);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary {\n",
-       "  grid-column: 1;\n",
-       "  color: var(--xr-font-color2);\n",
-       "  font-weight: 500;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary > span {\n",
-       "  display: inline-block;\n",
-       "  padding-left: 0.5em;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label {\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in + label:before {\n",
-       "  display: inline-block;\n",
-       "  content: '►';\n",
-       "  font-size: 11px;\n",
-       "  width: 15px;\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:disabled + label:before {\n",
-       "  color: var(--xr-disabled-color);\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label:before {\n",
-       "  content: '▼';\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked + label > span {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary,\n",
-       ".xr-section-inline-details {\n",
-       "  padding-top: 4px;\n",
-       "  padding-bottom: 4px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-inline-details {\n",
-       "  grid-column: 2 / -1;\n",
-       "}\n",
-       "\n",
-       ".xr-section-details {\n",
-       "  display: none;\n",
-       "  grid-column: 1 / -1;\n",
-       "  margin-bottom: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap {\n",
-       "  grid-column: 1 / -1;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 20px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-array-wrap > label {\n",
-       "  grid-column: 1;\n",
-       "  vertical-align: top;\n",
-       "}\n",
-       "\n",
-       ".xr-preview {\n",
-       "  color: var(--xr-font-color3);\n",
-       "}\n",
-       "\n",
-       ".xr-array-preview,\n",
-       ".xr-array-data {\n",
-       "  padding: 0 5px !important;\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-array-data,\n",
-       ".xr-array-in:checked ~ .xr-array-preview {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       ".xr-array-in:checked ~ .xr-array-data,\n",
-       ".xr-array-preview {\n",
-       "  display: inline-block;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list {\n",
-       "  display: inline-block !important;\n",
-       "  list-style: none;\n",
-       "  padding: 0 !important;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li {\n",
-       "  display: inline-block;\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:before {\n",
-       "  content: '(';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list:after {\n",
-       "  content: ')';\n",
-       "}\n",
-       "\n",
-       ".xr-dim-list li:not(:last-child):after {\n",
-       "  content: ',';\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-has-index {\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list,\n",
-       ".xr-var-item {\n",
-       "  display: contents;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > div,\n",
-       ".xr-var-item label,\n",
-       ".xr-var-item > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-even);\n",
-       "  margin-bottom: 0;\n",
-       "}\n",
-       "\n",
-       ".xr-var-item > .xr-var-name:hover span {\n",
-       "  padding-right: 5px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-list > li:nth-child(odd) > div,\n",
-       ".xr-var-list > li:nth-child(odd) > label,\n",
-       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
-       "  background-color: var(--xr-background-color-row-odd);\n",
-       "}\n",
-       "\n",
-       ".xr-var-name {\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dims {\n",
-       "  grid-column: 2;\n",
-       "}\n",
-       "\n",
-       ".xr-var-dtype {\n",
-       "  grid-column: 3;\n",
-       "  text-align: right;\n",
-       "  color: var(--xr-font-color2);\n",
-       "}\n",
-       "\n",
-       ".xr-var-preview {\n",
-       "  grid-column: 4;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name,\n",
-       ".xr-var-dims,\n",
-       ".xr-var-dtype,\n",
-       ".xr-preview,\n",
-       ".xr-attrs dt {\n",
-       "  white-space: nowrap;\n",
-       "  overflow: hidden;\n",
-       "  text-overflow: ellipsis;\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name:hover,\n",
-       ".xr-var-dims:hover,\n",
-       ".xr-var-dtype:hover,\n",
-       ".xr-attrs dt:hover {\n",
-       "  overflow: visible;\n",
-       "  width: auto;\n",
-       "  z-index: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data {\n",
-       "  display: none;\n",
-       "  background-color: var(--xr-background-color) !important;\n",
-       "  padding-bottom: 5px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
-       ".xr-var-data-in:checked ~ .xr-var-data {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       ".xr-var-data > table {\n",
-       "  float: right;\n",
-       "}\n",
-       "\n",
-       ".xr-var-name span,\n",
-       ".xr-var-data,\n",
-       ".xr-attrs {\n",
-       "  padding-left: 25px !important;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs,\n",
-       ".xr-var-attrs,\n",
-       ".xr-var-data {\n",
-       "  grid-column: 1 / -1;\n",
-       "}\n",
-       "\n",
-       "dl.xr-attrs {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  display: grid;\n",
-       "  grid-template-columns: 125px auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt,\n",
-       ".xr-attrs dd {\n",
-       "  padding: 0;\n",
-       "  margin: 0;\n",
-       "  float: left;\n",
-       "  padding-right: 10px;\n",
-       "  width: auto;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt {\n",
-       "  font-weight: normal;\n",
-       "  grid-column: 1;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dt:hover span {\n",
-       "  display: inline-block;\n",
-       "  background: var(--xr-background-color);\n",
-       "  padding-right: 10px;\n",
-       "}\n",
-       "\n",
-       ".xr-attrs dd {\n",
-       "  grid-column: 2;\n",
-       "  white-space: pre-wrap;\n",
-       "  word-break: break-all;\n",
-       "}\n",
-       "\n",
-       ".xr-icon-database,\n",
-       ".xr-icon-file-text2 {\n",
-       "  display: inline-block;\n",
-       "  vertical-align: middle;\n",
-       "  width: 1em;\n",
-       "  height: 1.5em !important;\n",
-       "  stroke-width: 0;\n",
-       "  stroke: currentColor;\n",
-       "  fill: currentColor;\n",
-       "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
-       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
-       "    ts        (lat, lon) float64 224.7 224.7 224.7 224.7 ... 253.8 253.8 253.8\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bfa8601f-6e37-4cda-ad23-12e875d525bd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bfa8601f-6e37-4cda-ad23-12e875d525bd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3c3c84dd-bb63-475a-98db-7e5b484e349b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c3c84dd-bb63-475a-98db-7e5b484e349b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-65f11e69-58a5-4c26-a234-425eb739b842' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f11e69-58a5-4c26-a234-425eb739b842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b2fd93-f779-48ed-8bc4-0e81ebaa9df4' class='xr-var-data-in' type='checkbox'><label for='data-b8b2fd93-f779-48ed-8bc4-0e81ebaa9df4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
-       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
-       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
-       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
-       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
-       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
-       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
-       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
-       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
-       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
-       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
-       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
-       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
-       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
-       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
-       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-4a00810e-f7c8-46df-a2a1-04ba4f97e891' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a00810e-f7c8-46df-a2a1-04ba4f97e891' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99bdb737-4272-49f7-a013-3e744923c771' class='xr-var-data-in' type='checkbox'><label for='data-99bdb737-4272-49f7-a013-3e744923c771' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
-       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
-       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
-       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
-       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
-       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
-       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
-       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
-       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
-       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
-       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
-       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
-       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
-       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
-       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
-       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
-       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
-       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
-       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
-       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
-       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
-       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
-       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a50db86-483b-4ada-a280-130bf5233165' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a50db86-483b-4ada-a280-130bf5233165' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c4e0658-3be1-47f9-acac-5496edd7c95b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c4e0658-3be1-47f9-acac-5496edd7c95b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-169f4312-11af-45a9-af6a-de2ece7dde26' class='xr-var-data-in' type='checkbox'><label for='data-169f4312-11af-45a9-af6a-de2ece7dde26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
-       "       [-89.375, -88.125],\n",
-       "       [-88.125, -86.875],\n",
-       "       ...,\n",
-       "       [ 86.875,  88.125],\n",
-       "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-976b0b33-f8ef-4ca5-b04b-294d940b09f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-976b0b33-f8ef-4ca5-b04b-294d940b09f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0064a6dc-12d0-41c6-8d5b-ffc77ae00ded' class='xr-var-data-in' type='checkbox'><label for='data-0064a6dc-12d0-41c6-8d5b-ffc77ae00ded' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
-       "       [  0.9375,   2.8125],\n",
-       "       [  2.8125,   4.6875],\n",
-       "       ...,\n",
-       "       [353.4375, 355.3125],\n",
-       "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.7 224.7 224.7 ... 253.8 253.8</div><input id='attrs-64f0449a-e26c-4454-835c-0affd7abe6ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64f0449a-e26c-4454-835c-0affd7abe6ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcd528b5-4866-4bb5-9655-39de93fa9150' class='xr-var-data-in' type='checkbox'><label for='data-dcd528b5-4866-4bb5-9655-39de93fa9150' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.70702467, 224.70702467, 224.70702467, ..., 224.70702467,\n",
-       "        224.70702467, 224.70702467],\n",
-       "       [228.39289164, 228.33583731, 228.27682185, ..., 228.56007983,\n",
-       "        228.50507056, 228.45013048],\n",
-       "       [229.58167803, 229.44527299, 229.30851394, ..., 229.96870422,\n",
-       "        229.848072  , 229.71772273],\n",
-       "       ...,\n",
-       "       [254.44218426, 254.47318055, 254.50429846, ..., 254.33990871,\n",
-       "        254.37963671, 254.40936423],\n",
-       "       [254.20181155, 254.21517477, 254.22789985, ..., 254.15793764,\n",
-       "        254.16902226, 254.18567783],\n",
-       "       [253.79984531, 253.79984531, 253.79984531, ..., 253.79984531,\n",
-       "        253.79984531, 253.79984531]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b09e0a3d-700b-4cf9-b5a9-2a4cb2b1676a' class='xr-section-summary-in' type='checkbox'  ><label for='section-b09e0a3d-700b-4cf9-b5a9-2a4cb2b1676a' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 ...\n",
-       "    lon_bnds  (lon, bnds) float64 ...\n",
-       "    ts        (lat, lon) float64 224.7 224.7 224.7 224.7 ... 253.8 253.8 253.8\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_season"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "fef1d9e8-fdf6-442d-836b-39900ccba486",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159a12a00>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds_ave_season.ts.plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2437d4bd-6840-49d6-87da-2e52220922d2",
-   "metadata": {},
-   "source": [
-    "### 1.3 Year"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "3c439a6c-922d-412a-ae4d-63ce0a1fb80a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_ave_year = ds.temporal.average(\"ts\", freq=\"year\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "8d04dfb1-e988-4a3c-800c-3fd253ef70e7",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(145, 192)"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_year.ts.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "e213a1a4-ed01-4dae-9d65-7bb261386f5d",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
-       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
-       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.9 253.9 253.9\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-495b99af-d7fe-4989-8555-cbb1cf4b3a0d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-495b99af-d7fe-4989-8555-cbb1cf4b3a0d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-149bdf90-1f94-45b1-97b7-b5e2e88dc033' class='xr-section-summary-in' type='checkbox'  checked><label for='section-149bdf90-1f94-45b1-97b7-b5e2e88dc033' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-6f022c32-7e24-4753-a909-2ddf15f38036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f022c32-7e24-4753-a909-2ddf15f38036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d5484cd-92ab-4543-9a81-b2823966eca8' class='xr-var-data-in' type='checkbox'><label for='data-1d5484cd-92ab-4543-9a81-b2823966eca8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
-       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
-       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
-       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
-       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
-       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
-       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
-       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
-       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
-       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
-       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
-       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
-       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
-       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
-       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
-       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-09b2b4fb-cbca-4345-8c0b-f5e961a7cf6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09b2b4fb-cbca-4345-8c0b-f5e961a7cf6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18a90cc8-c96b-44c6-8f64-b4403f177d19' class='xr-var-data-in' type='checkbox'><label for='data-18a90cc8-c96b-44c6-8f64-b4403f177d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
-       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
-       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
-       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
-       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
-       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
-       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
-       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
-       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
-       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
-       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
-       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
-       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
-       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
-       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
-       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
-       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
-       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
-       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
-       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
-       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
-       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
-       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5e75153-1f47-4939-95d7-13eae45571d1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5e75153-1f47-4939-95d7-13eae45571d1' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29c6c645-4720-4fac-bb61-5f0908a8b6ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29c6c645-4720-4fac-bb61-5f0908a8b6ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da57d9f5-65fe-4bee-99b8-912e5ebc2570' class='xr-var-data-in' type='checkbox'><label for='data-da57d9f5-65fe-4bee-99b8-912e5ebc2570' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
-       "       [-89.375, -88.125],\n",
-       "       [-88.125, -86.875],\n",
-       "       ...,\n",
-       "       [ 86.875,  88.125],\n",
-       "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba65cb1f-e67c-4587-81ab-6d5152c0bdaf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba65cb1f-e67c-4587-81ab-6d5152c0bdaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d2a2615-7a0f-425d-a6a1-f8691933dc14' class='xr-var-data-in' type='checkbox'><label for='data-4d2a2615-7a0f-425d-a6a1-f8691933dc14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
-       "       [  0.9375,   2.8125],\n",
-       "       [  2.8125,   4.6875],\n",
-       "       ...,\n",
-       "       [353.4375, 355.3125],\n",
-       "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.9 253.9</div><input id='attrs-039a65a0-7a5a-49d0-9c9d-049b4029a8b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-039a65a0-7a5a-49d0-9c9d-049b4029a8b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-569f472e-335a-4b92-932f-924a389a81b6' class='xr-var-data-in' type='checkbox'><label for='data-569f472e-335a-4b92-932f-924a389a81b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[224.58977804, 224.58977804, 224.58977804, ..., 224.58977804,\n",
-       "        224.58977804, 224.58977804],\n",
-       "       [228.28868211, 228.23149187, 228.17233688, ..., 228.45628362,\n",
-       "        228.40113336, 228.34605534],\n",
-       "       [229.479265  , 229.34266656, 229.20570909, ..., 229.86683899,\n",
-       "        229.74604428, 229.61551092],\n",
-       "       ...,\n",
-       "       [254.51221048, 254.54310599, 254.57412542, ..., 254.41026118,\n",
-       "        254.44986029, 254.47949659],\n",
-       "       [254.27302999, 254.28634596, 254.29902688, ..., 254.22930539,\n",
-       "        254.24034849, 254.25695254],\n",
-       "       [253.87299679, 253.87299679, 253.87299679, ..., 253.87299679,\n",
-       "        253.87299679, 253.87299679]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f25a381d-f20e-4eeb-b6c3-0222f7c1f1f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-f25a381d-f20e-4eeb-b6c3-0222f7c1f1f0' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 ...\n",
-       "    lon_bnds  (lon, bnds) float64 ...\n",
-       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.9 253.9 253.9\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_year"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "829099e7-af9a-47f9-80f9-9d62efd15c35",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159afea00>"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds_ave_year.ts.plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f48e7ed4-3751-48ac-865b-1175b536a59a",
-   "metadata": {},
-   "source": [
-    "### 1.4 Day"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "a904b42d-2cd0-4e4c-8a6d-3d6e2f0610fa",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_ave_day = ds.temporal.average(\"ts\", freq=\"day\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "f878f09a-2b4a-47e5-8686-a0072e53e55f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(145, 192)"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_day.ts.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "d8cbc6a5-48ac-4533-9d11-357dbbd9d4af",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 -90.0 -89.38 -89.38 ... 89.38 89.38 90.0\n",
-       "    lon_bnds  (lon, bnds) float64 -0.9375 0.9375 0.9375 ... 357.2 357.2 359.1\n",
-       "    ts        (lat, lon) float64 230.8 230.8 230.8 230.8 ... 246.3 246.3 246.3\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-52a068c2-3044-4d7e-a853-3aab94f28691' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52a068c2-3044-4d7e-a853-3aab94f28691' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2b7bc8eb-7370-4952-8ca6-1ca472fd27c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2b7bc8eb-7370-4952-8ca6-1ca472fd27c5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-350ff8a2-e8da-49b6-a8c4-75c2406d6e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-350ff8a2-e8da-49b6-a8c4-75c2406d6e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-037812d7-02fb-4255-8984-a87d803bf9e1' class='xr-var-data-in' type='checkbox'><label for='data-037812d7-02fb-4255-8984-a87d803bf9e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
-       "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
-       "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
-       "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
-       "       -45.  , -43.75, -42.5 , -41.25, -40.  , -38.75, -37.5 , -36.25, -35.  ,\n",
-       "       -33.75, -32.5 , -31.25, -30.  , -28.75, -27.5 , -26.25, -25.  , -23.75,\n",
-       "       -22.5 , -21.25, -20.  , -18.75, -17.5 , -16.25, -15.  , -13.75, -12.5 ,\n",
-       "       -11.25, -10.  ,  -8.75,  -7.5 ,  -6.25,  -5.  ,  -3.75,  -2.5 ,  -1.25,\n",
-       "         0.  ,   1.25,   2.5 ,   3.75,   5.  ,   6.25,   7.5 ,   8.75,  10.  ,\n",
-       "        11.25,  12.5 ,  13.75,  15.  ,  16.25,  17.5 ,  18.75,  20.  ,  21.25,\n",
-       "        22.5 ,  23.75,  25.  ,  26.25,  27.5 ,  28.75,  30.  ,  31.25,  32.5 ,\n",
-       "        33.75,  35.  ,  36.25,  37.5 ,  38.75,  40.  ,  41.25,  42.5 ,  43.75,\n",
-       "        45.  ,  46.25,  47.5 ,  48.75,  50.  ,  51.25,  52.5 ,  53.75,  55.  ,\n",
-       "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
-       "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
-       "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-6d418774-0441-4e53-bdb5-5c6a8513d93e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d418774-0441-4e53-bdb5-5c6a8513d93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56962f74-a0f5-4a9c-a01a-bd1702904976' class='xr-var-data-in' type='checkbox'><label for='data-56962f74-a0f5-4a9c-a01a-bd1702904976' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
-       "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
-       "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
-       "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
-       "        60.   ,  61.875,  63.75 ,  65.625,  67.5  ,  69.375,  71.25 ,  73.125,\n",
-       "        75.   ,  76.875,  78.75 ,  80.625,  82.5  ,  84.375,  86.25 ,  88.125,\n",
-       "        90.   ,  91.875,  93.75 ,  95.625,  97.5  ,  99.375, 101.25 , 103.125,\n",
-       "       105.   , 106.875, 108.75 , 110.625, 112.5  , 114.375, 116.25 , 118.125,\n",
-       "       120.   , 121.875, 123.75 , 125.625, 127.5  , 129.375, 131.25 , 133.125,\n",
-       "       135.   , 136.875, 138.75 , 140.625, 142.5  , 144.375, 146.25 , 148.125,\n",
-       "       150.   , 151.875, 153.75 , 155.625, 157.5  , 159.375, 161.25 , 163.125,\n",
-       "       165.   , 166.875, 168.75 , 170.625, 172.5  , 174.375, 176.25 , 178.125,\n",
-       "       180.   , 181.875, 183.75 , 185.625, 187.5  , 189.375, 191.25 , 193.125,\n",
-       "       195.   , 196.875, 198.75 , 200.625, 202.5  , 204.375, 206.25 , 208.125,\n",
-       "       210.   , 211.875, 213.75 , 215.625, 217.5  , 219.375, 221.25 , 223.125,\n",
-       "       225.   , 226.875, 228.75 , 230.625, 232.5  , 234.375, 236.25 , 238.125,\n",
-       "       240.   , 241.875, 243.75 , 245.625, 247.5  , 249.375, 251.25 , 253.125,\n",
-       "       255.   , 256.875, 258.75 , 260.625, 262.5  , 264.375, 266.25 , 268.125,\n",
-       "       270.   , 271.875, 273.75 , 275.625, 277.5  , 279.375, 281.25 , 283.125,\n",
-       "       285.   , 286.875, 288.75 , 290.625, 292.5  , 294.375, 296.25 , 298.125,\n",
-       "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
-       "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
-       "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9daa7601-4a58-43f0-a324-a33933582837' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9daa7601-4a58-43f0-a324-a33933582837' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c45af71e-2ca2-49b2-82a0-43e8a89960e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c45af71e-2ca2-49b2-82a0-43e8a89960e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b74d43a2-4103-4706-9d75-9d6b950c4acf' class='xr-var-data-in' type='checkbox'><label for='data-b74d43a2-4103-4706-9d75-9d6b950c4acf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
-       "       [-89.375, -88.125],\n",
-       "       [-88.125, -86.875],\n",
-       "       ...,\n",
-       "       [ 86.875,  88.125],\n",
-       "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd98dbf2-fa13-4e70-92f2-5440c39d1329' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd98dbf2-fa13-4e70-92f2-5440c39d1329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fbd7469-6d6e-4591-811b-8e209bd54c82' class='xr-var-data-in' type='checkbox'><label for='data-4fbd7469-6d6e-4591-811b-8e209bd54c82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
-       "       [  0.9375,   2.8125],\n",
-       "       [  2.8125,   4.6875],\n",
-       "       ...,\n",
-       "       [353.4375, 355.3125],\n",
-       "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>230.8 230.8 230.8 ... 246.3 246.3</div><input id='attrs-87bbca67-3dd5-49dc-868f-32a6ecc59e39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87bbca67-3dd5-49dc-868f-32a6ecc59e39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e13d8175-1c8c-48c6-bb9b-7d0ac40a7aa8' class='xr-var-data-in' type='checkbox'><label for='data-e13d8175-1c8c-48c6-bb9b-7d0ac40a7aa8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[230.77884495, 230.77884495, 230.77884495, ..., 230.77884495,\n",
-       "        230.77884495, 230.77884495],\n",
-       "       [233.52590012, 233.47318289, 233.41881021, ..., 233.68150159,\n",
-       "        233.63000608, 233.57903939],\n",
-       "       [234.58845139, 234.45779572, 234.32629425, ..., 234.95829114,\n",
-       "        234.84305307, 234.71850773],\n",
-       "       ...,\n",
-       "       [247.27768571, 247.31676018, 247.35502926, ..., 247.14838553,\n",
-       "        247.19756487, 247.23562431],\n",
-       "       [246.90260709, 246.91926617, 246.93478268, ..., 246.84818736,\n",
-       "        246.86317563, 246.88323714],\n",
-       "       [246.30439971, 246.30439971, 246.30439971, ..., 246.30439971,\n",
-       "        246.30439971, 246.30439971]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0b8941d-f7bf-49a3-bc72-aebaf402d0f1' class='xr-section-summary-in' type='checkbox'  ><label for='section-e0b8941d-f7bf-49a3-bc72-aebaf402d0f1' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
-      ],
-      "text/plain": [
-       "<xarray.Dataset>\n",
-       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (lat, bnds) float64 ...\n",
-       "    lon_bnds  (lon, bnds) float64 ...\n",
-       "    ts        (lat, lon) float64 230.8 230.8 230.8 230.8 ... 246.3 246.3 246.3\n",
-       "Attributes: (12/28)\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institute_id:           CSIRO-BOM\n",
-       "    experiment_id:          historical\n",
-       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
-       "    model_id:               ACCESS1-0\n",
-       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
-       "    ...                     ...\n",
-       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
-       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
-       "    parent_experiment:      pre-industrial control\n",
-       "    modeling_realm:         atmos\n",
-       "    realization:            1\n",
-       "    cmor_version:           2.8.0"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ds_ave_day"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "98e5ca4b-94c4-4b5e-a76f-47451a4c1674",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159bbb550>"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ds_ave_day.ts.plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "247d83e0-5ad6-41d7-9e4c-54706b78c292",
-   "metadata": {},
-   "source": [
-    "### 1.5 Hour"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "4ba7350f-3a50-4f40-b355-c62853c18688",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds_ave_hour = ds.temporal.average(\"ts\", freq=\"hour\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "786a3997-fe1a-4985-ae85-fb08ebfb3f6e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(145, 192)"
+       "Dimensions:   (lat: 145, bnds: 2, lon: 192)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
+       "  * lon       (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    ts        (lat, lon) float64 224.6 224.6 224.6 224.6 ... 253.8 253.8 253.8\n",
+       "Attributes: (12/28)\n",
+       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
+       "    institute_id:           CSIRO-BOM\n",
+       "    experiment_id:          historical\n",
+       "    source:                 ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-p...\n",
+       "    model_id:               ACCESS1-0\n",
+       "    forcing:                GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table Amon (27 April 2011) 9c851218e3842df9a62ef3...\n",
+       "    title:                  ACCESS1-0 model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            1\n",
+       "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds_ave_hour.ts.shape"
+    "ds_ave_month"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "id": "6d85378b-09be-4f7a-9af6-a2dbe1dcfcaa",
+   "execution_count": 11,
+   "id": "66e7ac8a-a4d2-428c-952f-427dde5cb6ab",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159c866a0>"
+       "<matplotlib.collections.QuadMesh at 0x15b54c610>"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -2880,69 +1076,46 @@
     }
    ],
    "source": [
-    "ds_ave_hour.ts.plot()"
+    "ds_ave_month.ts.plot()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5868f234-a8a4-4b78-9507-e2f3dc97bed1",
+   "id": "acf885d0-9298-4ad7-b9a1-28901cead816",
    "metadata": {},
    "source": [
-    "### 1.6. Compare temporal averages that use different `freq` option"
+    "### 1.2 `weighted=False`"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "id": "dacd0704-ee42-4f20-9765-205641148381",
+   "execution_count": 12,
+   "id": "435f61c7-be19-4e1f-bdee-3c3471378af4",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159af12b0>"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "(ds_ave_year.ts - ds_ave_month.ts).plot()"
+    "ds_ave_month_nw = ds.temporal.average(\"ts\", weighted=False)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "id": "84c8dd65-ddbb-402f-a8c7-f567f2b21723",
+   "execution_count": 13,
+   "id": "ab0543ba-d8d5-4f70-bb63-44741cfcf2c4",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159de9730>"
+       "<matplotlib.collections.QuadMesh at 0x15b6d7bb0>"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -2954,61 +1127,67 @@
     }
    ],
    "source": [
-    "(ds_ave_season.ts - ds_ave_month.ts).plot()"
+    "(ds_ave_month.ts - ds_ave_month_nw.ts).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "122d2caa-7c89-4bc2-9de9-802c7b33ec56",
+   "metadata": {},
+   "source": [
+    "### 1.3 `center_times=True`"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "id": "2a458291-bf4b-4fad-8f31-d1ebca5bcc2b",
+   "execution_count": 14,
+   "id": "1bc848e3-3cf0-4460-a8e1-1044839d7561",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month_center = ds.temporal.average(\"ts\", center_times=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "371b253d-999d-4820-9c10-f48133d04b0e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159eb36d0>"
+       "(145, 192)"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "(ds_ave_day.ts - ds_ave_month.ts).plot()"
+    "ds_ave_month_center.ts.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "id": "4e4c7f31-cc99-4670-aaa5-e29aecab6e5e",
+   "execution_count": 16,
+   "id": "d207d41b-e09b-4bbc-a77c-84dd229a5b8b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x159f6ffa0>"
+       "<matplotlib.collections.QuadMesh at 0x15b7b9910>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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wyhZ2nt92ZUXdxPWVT5kBQJ6W9F61nU3gQgWToUoLFJm+p3Qvw3hnjPHO2LU7G5h+KRgykZCJpeMkol4EGZuJJBHorusBrHdmBd3TJ9DZWHX3Ky2vX6HRmiYQXWYULARe+K33ugm2GI2xf+WG6aNLkN0EkdE5JOt95KOxKzNZ77tJbffZy9h+8hOuXenOvmtPd33dtXN46bJbTNhy0t19156Tn/IwTr/ukwAAm+/7qKY1zfmFT+klEVScQxalBZUa6v4e/vrPo/cFXwve0ubf1JVOD+gcQ1GzaCm0zoaMibG1wDK9pq2xrH7x3f8ZuR9pAaVzH3VXoTp9sKGqOO65hZ+aZwCYA61y/Pjx9fBoKiK6wMx2ufuVAD54LK1q0aJFiyloJY5jAhGtAPgiAN/m7f57RPR66MXJM5VjjZi1jpi10JBU0lMFc6NAyyittpihKamxtmaRg02oXa0M5jyDGg2cxFHs3tCWK350XLvqjBJQp+ssXfL90nomH421ots48lVXtf5Kl6Rwq9skjsCFQuQpnTPrEJZmE/QYSUNpDTOw4kAha7H98Wso0sKt2rhgyFhg7wVtOR33u9j+7ccBACKRiLsRUrOy379Wrg4vvfMTIElOeb1ypoe1+3Q4FBlHTjlrMdoy/ZuEimsZRyVtJAWQ5hgPxu7cfMcaBhTYvbSHbM9QdcyIO/o5JKsxom6EjpUqTnYR9SKMt3U53ZNd5KPS0fLaB57HypkVfez0midhdQPLMR+W1vHb7pw3RwpnXvsQxluakuxfOI3BJf3O7L+0CdlNHP022twJykx399E7uwEAyHZKCTUfjEBSQA10HeMbe4hX9Gq8zrGTZKmg3n7i445uXDl/CkJKbD+j13Gi8N49Fb4fJIVTpA+vbEH+3n9G9w2fZ+5xr5QGVK6/oZqQIzbyrfOp8Y0bWGllubF2lPe/BvnH3uPOF/01iBOablOGmuLI3LOIZkUvWRhEBBndSmrim4djnziYeR/A6cq+bzpIWYT6yaNpwpAESMNlkSoQ3XgeuKpFfZy+CFx+Rm9feCWK1bNBeGdrmktFBhrtQm5rkbzY3nTmrzwe6eCJZjIQUQy1u+UGDNlfdY5VAFBsXS2DLnrWSTKOgbj+HgqUtBcARL1OYD3DSjl6KhsM3ceephmKNK9QFrqjhBTIstz9BkqrKlUwslFIKwHA9rM3TFulo4O4YKhCTVg2AZN6hd0X97D74l5wjq2/s55g40HdT/koDQa8ncvbSFZ15+TDHBuvvMu1de/SNq59dNO1Ox/mIMMtdHoxeif1oNI92UVnvYOV03oC6F88iyvvedrVMd5JHY013hkjXk1cH4jdfTeoy26C3tk1N5FFp89j8OTHTJ9KdE6dQDEuaaatJ7ReqrOxqk2XT2r6K+p3EfWME2ehsP3RyzjxCm0fohLPpNlQT+lOGavK9V1NSPe0shAQIlyAWMpLSOFMo7unT2DrI59wk07/wmnceMrUl+YgIWDfBhlHSIuBK3P/hUsg+T8BAPEDrylNZbv9MpihhRe4kXr9cnFFoqS4RBRcQ+NRWWZ/HfL03Sj6xjIt7mgnxKOUCAgQdyhXdewTR4sWLVq8HEGoj05wJ+COmDh8BbkkgiwMlbFzBbRVxudRw0EZLXbvQ6Wz1fYm/AQ6yStfB2WUbqqzBsr2y/Ago30d7gEmbEhRQBlLIm1XL8FGWtl/4RLokrYDEFIi8qiOwlMOV/0KAATSSJFVwoM4y6EMxSh1imcuSunDrpLtqj4b5VCpDatB4ILd6tynv3T5pQhHkkCSEHdN5FPvmF2VJ6tGsduPnQI+HWTggl1ZVFm5FWkBNqLi/uYQQ/OctBLbd/Aj7F/L3fZL737WSTj5MEfcN7RGLLDz/G5AR3WNxJGsxli9eNpZnFlpo3OiY66VEKbOuN+F7HaQrGmqKuompTK+UNh55pIzRgCeQv/8KQDAzjMvofjQ08gGfqgYfX+jzW1tKOHTWJ5UtXr3Wvk7DZXadbTlLFTPU0oh6ibOAmvjlRfd8958/1MT1m2FVc5XqDcuFGIjtaw+cC+Gly5jfMVQmJ/+CuD68/bmwCp0snR51xOpQ67Hxv+DhLZMBABWKJ5/wjk8RqfPu5DuqncCuYjA1m9ETA5tzg1rWVZVNPne3im4IyYOCwIgizEoNeL0i084akuNBuAsqzfltLGozMs9/uDvBMfFxYeQGc9aTkeBmSMPtzwnrALFqDSPtVYugI755JvSAqWntXX48yeHqumnc7ozHzUAFKMU2WDkDWQhpE97JBL50OYJYaiCnRguY+kmAaU4mDhkIiEEuQ9IoPyYhCSQd4wkITaTSNSLkA9zV64/iahCocjKfpCxQNTTbY27EaJeFNy/357eya6bnPyPen9zHzKRjtbyHRUBPQF0L2p+/MbTm+id7CJZ13x91O+5iaLab1WQEI7WAUqdhDYTFkjWy3KagkNOmDuLcEJxJtRZeEx4ui4ulDEVlq584VlxVS2+lGeenO7su3evc24VOx8vzbIvP/YRXPzc1+t+euI5JGsr2HmmtOyzZsQkBcZbe1i77y7T8DzMdyNkEL7eOlKyTDQ1ZWODoUD+jM7yR3EMec8j4NP3AwAKIVFIPVFkVT7ahrOyFvU4Aqc1opaqatGiRYsW84MIzmT7TsNtNXHU6cD99YAUBLF7HWLTKMA7XRTG4omHA8izF90Krdje9KKZmpW4VXpnaRBzKH3mcRdmhMejoB3k5U+uC41to8v6tvKAljZszCWrtHQ0kxDBufZ6r6n6HlIdVkQZ2ktleWD1I7sdyK4R7YsCUddzFEyLgKpCRSFu/SNEIqAK5egjkqXC20oCvkTgpJhugqSfOIur4dbISQpW2pCxXiMmqwk660ZS6UbaWspKQBCwy0s2CnBLlwlBTlI59cpTGFwZuGOdfuykn7X7zkJ2E1x7/1Pm/rUkJLv2noduhR51kyDiMBcqoHJkHLnnFXWT8rp+V8cG8yREKx3a/b5k6ELKJNFEfK6qVZRv/VZ1OLTvs/B8hpyDqNfuradecs9m8NKmkxyqdcb9LgbGgu7Uaz8JV/7gA9j+xBYAaxmnJYzO+fNI1rxoDiTKJGliTX+Xlp6KO84DkIoUansTal9b1cl7XwV63RfoNsgERVpajqUicdZ9HdLtyypyhRVEJvyyloSWqroN4ExkvX2M0tZaZCPI7RfdcT9gXPzgp2L3rtegY+MTvvs/lbRVFINVUZafe6MzoDlbl5bTz+Eg9ATjp/b0PlZVyVZHQrjgcr511LRsfyQFpGdy5dMcJPVgIZzZZKgrqXpn2yOxFFBxWY4qlNNhOBgDqHyYQ0jhTG01jVRSU/6kUaTlBCMSCRICXU9fMTCDgtVtWN1I/9wK4r6e4IQ0E5WjtUrrryItUGSqdGQsGOc+VQ9kZ177SqS7A2fJFHUTN8gla1pfZSmXlTM9yFiWnuWjDNJ5+GfGcVP3uYwjJGaikJ5Tn4V9nr1zJ02bzAA3GDpv+fGNPWQ7pTVS5HtqdzsT1KTTT1VihpEUyIep6yeSwultpDHNBsKYZfaeZCywcq6cLCzdpmNTSURmgRGvr2DtFXcDAPKdHVx+97NYOdMzffwQVl7zen0P5+9HB3DpaIuPvrOM4Wbbayhd1ek7C0bqdEGnLgAPvEHXEXUxkibVgSCoqIfY5CnobT1TWlmZfB/q5Ct0fWaSqItBuLShnqhVjrdo0aJFi/lBaM1xbxswQr8NSUCU6uWxfO59UEXhJVoaQd6jQytkp16BjgCij/wmAOgsep5tOeA5PHW6oaLPo6A4TycSA7mMetWwE1K6bH1cKIgkgkxsWOrmREYkBPyopwBARRkGwp3nRTF17atGnbV0h1BQXn3xSs9JI1woqJ5ZuQ5TxN0I+8KslndSFFnhKKCqj4ev2O6sJ4HlkEwijwKKEBvFNQ01xbR+j47e2j19woXjyAZDFH4olli4j1fTZAzfFODsG3Tmut6DD6M72sfqvVrKCIwUTNTei29+PQBg+6kXMLi0GYQu8futs7GG/gXtL5CcWAviQxUmz7urA2V/yP5qmSjsLNAz1kHDy1ex80wZ3qX63P3IwX4sLvfXPF+V5aFlVpq792F8Yxf7m7o+66+SGUfJdJCCC8bzv/MMAGD9njWcNeHwVy+exeClTUedxf0u0m1NI2098RxOf9JZnHntK3UfP/IaRGcv6nvvnwZHHQgTkbZ44jEgqjgjGQsokQ5RXHyVuy416REAIzGY7YIZioHI0FrKS8ikuieQ8WQ4EV/iWPoQTwAtKaw6EX0JgB8FIAH8S2b+kYbzPg3A7wH4Wmb+90up/AC4bSYOBuCxIuiaDza68hRgU8WOR1DpyMWKEg+9AddX7wUA9CShd+1J5F52NUc/2W3nnOdRTKoAq3BgacqGZ01lyxDkRcBPVwf4gIaYkukOgJtwCuMRbhH3u0BNFOmq5U613f7EpdPRlt7nxShFsm4Gvc097F8bIt0zfWMssux1eaEc5QQAnZN9r3zpqJSoF2P1nJ38JGQcOXpHpbnzJM8GWhdiqatuvxvk9OhfPIvzX/fN5iaLwGmTb1xxASZlOirzlJjsi8ULn3DlWG9wfR+F+907u4HeXWddTDFESflsogRRniI2/Hx+47pL25vuDNCNo5L+FNLlkOiePoHh1RulmWuhUKRefyeRc/bTtFFI+TiLOsA5ivrxygBgdGOInee0hdf+tX2s3tVHZOjH/rk1bH38ujNPJimw/5L+DkbXt9E7exInX/vJ7p6SuzUdNNzcRv/8aSQX9e/o/H3gnp7sOeqAkxUUHe3USJ/yuaCPv9u1WQ0H4Htfp8tMVrFn6EUJQoIyBpQ/Ddg5Ycymv5OSWvMpUQAu907dsL48TQehzrl14VJ0LqL/BzqCxvMA3klEb2fmD9ec93cB/NdDV3pI3DYTR4sWLVrcTJDQxiFLwKcDeJKZnwYAIvo5AG8B8OHKef8HgF8A8GnLqPQwuG0mDj9SZcFAdP0Z/WO0CzYRNKu+GiwirJoHL9J9FM8/UeZ69iWOPA2lDE85rvKsMQpqbc5rf19FOc5KOce/qtOfryD1k+lUISp+KELKgL5y6DdTWHUxqqyEko/GUL2kVOL3e0jWdrF3Sa+yxzvj0joKWnluf8f9jrdyNv1ulsgrZ3uBhHPm0U9G59P+qK776rP48N//MV3/MDc+FloCOP2aB5yEtfLVfwGbtIZ980wjglOeUpFB9E8h2tCJf3jnGtg4ZlIUg3p95FdfMPfURSyFo8fIy2QouzqmmIu71F939Ex+9QXIBz4F2eO/r+/3/L2I1g1VM9gFRUlJcaqRozCzXR1e31pV2VhhFlE3civquN9x/RSvdANLKpFEZfRjpVCMxtg10Yj3N4fO+XHlTA9xPwkklxP3bTjnvWKUIjIxp0gKFKMUoxdedH1jLZ5OvPIVEGsbiO7SUjuvngLbJElRokOpm/K5swo8/Id0O2+8CGKFXal9WnaGOVaNBV3XxH5SngUUe9t+krem/UBJUQmXXsE7F8vDAhLHGSJ6zPv9NpMWAgAuAnjOO/Y8gM/wLyaii9ABXz8f7cSxPBCACAosJAQjMJctk9tLkFRlrP9PfADSC7uMT/pMxC89AQDInnm81FEYvYhzUvKoKUc/1dBTTWaT/nE76PnpVgFtjlmno7AQnmOX/xcIHZ2aUq3WXceevsM/VhfS3E5GMbqIuokbyMc3djHa0hP1cGsElRaBp7edgJO1Fe0kdkPrn1YunHL1DF66jvjNXw3a1Z7M2bNP4O7P1Bx4/76LiD/7f3NpQLOo53jt6wUjIsLYDLJDRpksTiRYWT8PGZt4THEHMtXtZBMPqfeGNwMAopOPY/T8c4EDpkUxSiFPdiFf89nmhhSyE9rKCOc/GWPZgTirOX+RDsCP/We9vXFOL0os3ZlngNFxZINhEFaeFbvJFtCTpas/KzzaMEPU7ZRpXuPSqksCyHYG2LtiohZIctZP/fMbwfsq4hidjTV3v8OrW+45Rd0EJMsgluMbu1g5r/U76w9cAKWj0hRdJuC4DCoYBDEEnFd3fuo+QMYwFt3oSnITRhWKJycFC39/k/WUb4IbeXHplgIqnVvnwDVmflNTSTX7qozaPwHwPcxcHCZD6rJw20wcLVq0aHEzQdC+QkvA8wDu9X7fA+DFyjlvAvBzZtI4A+DLiChn5v+4jAYsittq4iBWgDIrjXVtPSNuXIZ6xWv19nAb6tkPQxiaAXc/gqJr8hCDkOw/75Sneme5MiEvRAIrNeEEVrddFuNZXXlJiWyGPh/sotCGUWWrynE/7ISM44CusCvHugipVQR0VWDbn6MYWMV1p4z4Cp3Mp9ixPhf6fqRndeO3M+knzllw/8oeHvxynce8+8AjUDubLu6QPHkO8f1aAXuq00chYy0FAkge/BRHIcZv/hpkq+dciAmf0ulWVn8EgL3V2ThXSLob+j5EBB6bzIpFppd3RoqJXnsW66+84RTr2XMfAxvntfieh5C/4o3Izeq5mk1OMQNkJKzOGiIjmfDzj4Pj0KrI0larna4ODWNzxMeFs9ax0oeVOvxYYCQ0jeT7fPj0mkgiZ3GWD3MMt3Qfdjc0FeVHyY285ybiyPlt2HMsjSbiyPmfjDa30V/bKP0xZOzCmAPQiZO8LH/K9GeuGKOckZtntzZFTyCoObr1LB8NQeTiU5EqQJYmnDNP/ExQPR19ALwTwMNE9ACAF6DTaP8p/wRmfsBVS/T/Avjl45o0gNtq4mCAlROP7QtcPFRShUomOoy5dciTsfvwBRi0c7V0CvTzZmTZBD3lynQZ9cLJIWhZhaqyxwvPssnmxvApJFti1TSXpAgorQJZEPcK3nV+fdVJRNNYJitaXlpj5cNxcA/jrV1Hh/hh2gE9oBSjcTAB2mCJST9G3I0cDdc92ce19+tUnycGQ6zcdQbypNY5RGcvghKT2rPT15z4rp7EB+/+bUQ2l0TcBRGQuEnC57xN/TUewgwgKxijXLel11l16X5tiPzyZAW1etZNXJGIUJw4b/rJZA1EyZ1bHp1IO5va6nMG1IZeSMYyhnjuQ2UVeeaiClDnPmx45t2jzW3X/9lgBBkXpX4r9UyfB2Odn8SzeMu990fEMS48qmm0ax+96iaf609uYu3CKlZNbK7u6XUUWe7yeWiPc0N5dW1my7JcP1YXRbGb/LEBsCzfQ2JVpocl4fqFoJ9fLyqfnXIOe3qwF17/+hZWheJa6qpu3U8EiMLoDPe3XOZAG3p9GViGHwcz50T0XdDWUhLATzLzh4jo283xHz90JUvGbTRxtGjRosXNAwlyUZMPC2Z+B4B3VPbVThjM/C1LqfQQuL0mDma9zGAurWmUAlk/jk4f6vQrSoetuAvBJuZSNkSx6eXYVsWkA6BHMfm+GAAmlOV2XzUKqw+V5S7Mtg1lURed10Y2dZnuCgG4VV8OKZOJ84O/noOYL/1oyqu8N+u4Vr0Pa1njl2lXnTKOtJLWJh5Kc0TGVyMfage4U4/cBwAYvHDVWSdF3Q6iux9AdPeD+rpOH2ylRZmAxnsYP/ZrAIB4Y8MlvGKZgLzn61MhTgZp4J0lkVOW5opBJrKqiLQUY5WmdqUsxsYf48yDbiXNQoJ5coWsr7NLanL12V3Z2nl0T14Dj/ZcW610S6qAWNvA6sWzrm+tBJes9ZENhohN/xdZHkQxzj2Hy1xkXswwAWDkLKfOvvoud97u8zegCoWB8dUAdCgRR13FcalwN8YVPgXmG03sfvQJbBirMjHedU55qUgQSen6hInKrJHQNFOZexyB1Ob/9VOzFoohBTnqSnFpSSmaFMaegt6FWqel0Eu63tZz/DZAZdIAjMWMnSiijks76S6xouzuZUwM76J01qoGKKzSTv6kYimo3Mu94OrzzCez/WGQn2GaPsIGuwM0lx0pQx3FEaKVrsdzlw5pFCXayczchzA5R2w7VZoHNJb0TGWLNMN4sOfuo3Ch4CMUWe4GpNyEbhcVigQAEvPXBsW7/uQm7rJpVtdWIFbWyvwJ8YrTR3BnFWDlnOwo6UKevqDrk7GmJE1WOJAo6RDbjzUBtNkM8JGtwxv8FTMEyNEalO2DZAJl9F/sTQDgkpICzGRRYcaozvSTFfL186BVkzlwcL2kCXe3ACERn9WDe3zypHtO+f4I6c7AWZ/lo9TpQnTI/DywwLIBIoUkHQ6/MNkn48g9o7V7NoLsj9m+Ls++X52NVaerIikQdTvBIsSlvC0UiixD9sxHAADdE6dBfZMrY6Wj+8zrJ5tts8okVsd8qpxg3wsp9HMglBOQS4vgUYa2TFFkjp5iL9goZWXkgUNhiZ7jLzfcXhNHixYtWtwk0JI8x1+OuH0mDmZQPp60H89GEPs67LPcfhHc6TvHO956yVnrKOvk50sWDfbedqVlt/2QHFyUFld2JVd1CrTK5fHOMFghkghfRKtUroYZ76yXodKjbgdRN0HU65R1iIrfhE2K0+lBrBll53CAbGcnoKdsu1WhXAIiQNvuZyb8uc0T7jIVjjLsX9t3NETvZBcr50rJaPfZq9h5TlM+H/nwVbz4Aa3w/tTBEBfXTqKzcdY0mrSkAS0ZUjYEdbV0Ep2/D+mD2nmMVDHhH+AMIqzkUUdjVVaxZOoEdHIvkICyPgieZZDegZCOOmjMirhbOsSlA9DYhBnvr4NH+2DrVNjpQpp3T2xdRTZ42vW3SHOPUoqCDzjdy8CFkQwNZSVhEyQpJ1FLKRD1EpAL/94JrPGs7wagLfZ8nyIRR066VWmO2EtMlT75fsiNi2U/EYXSl9meWKPX9aefWxwVOtI8jGlh0olZf/eWiu2uufdDDjYbr1sIhDas+sserEDpPmBj45gQ3WLvWmk1owpgd1Pn0wDAeVpmIQNAUoKVHxbdUlX1NJXdLrLcDbrWygjQHL9vfutnuAP0hGAtkHKTcc/PgWGPqYK1DsJrg7TmkeeMKWRaBuyz90QA8r0999FHUjqPZ3S6AHYcVTba3HH0UzYYalNhU8fw2r6z5JGJCBz60kGK4dYI453SMqm7oQeTeKWH/vkNJ86/br3MnzDaGiC7ehmdV1kruCRI98kignyVtojLTt5XDjqsgkHFh7Pi8ScMQ2mxiDRd5S8GjNlsITuatlKl3gJYYLJoaM/EaVHHnVucuAgR634S6R6ipAtl4qRRp+sc8JwexA7cSQR1w9yTUshHuetfmQiMdwz9NMqx2ist2qjwdAVp7nRSFp2N1ZKCqphx+1ZWACC6ut2yL7WHuDHHpSgGZeVCJJisa/qougAAysnfPxZ0PQnvuUw+FsdWsSkrSVy5lI+COg4NoiC/zZ2EY79rInoGwC5MhApmfhMRnQLw8wDuB/AMgK9h5q3jamOLFi1aVEG0UMiR2wrHPnEY/BFm9tKF4XsB/Doz/wgRfa/5/T2zCmERaaXqcNvRAKTyMCy6KlysKc6zgI4K4lFFSRi2BAisjOzy3/o12BV/MRq7bSttuMRCxpmrlDzYOcfZfS5ftyiTxAhJoCRCkSpXTmqc83qmPdKLO+Qio+6PMN7aLZWehUK00jPnFMgGQxcFFQCEyau9/oBWRG8/pWM3bX9iu+yWXjdwQOSCUWQq+G3rs5KY/bju/bxXu9AVrn+qSbH0AXDUQWFDeZh9tfD3kwjiI1XPq1Oau3uvKFaB2SvmQ4HIlclRFxx1QV5sND+Kbu/sSZDQz4D7XScJqq1dRN3Iy7HuSQXu3SmNFqrOns7aTunsg8JTgDs/nlorP2O5ZaRXeVr7uPArPx2cGWOPWrpwdh/WneOoSCM1+o/FJ4qqSnbunSjbwey+Z2uQcXi0iZxuNbwFwOeZ7Z8C8BuYNXGQAOIuxN5VUJ6WVjfsxZHK0zK0OgDkmaOtoApAyDI9bDryzHF1GUGui9QLyQ2EuSs8k1eblQ7QzlvB70JBpeW2kMJF28wLLnnq2JrAGiucgh2NVYzGQdDD6ORZqN0bAIDRYBvZYITE8NDZYOjCk4s4wvDKjWAydJY0xiPZpaqV5Aan8c4YST92E53Nv2FzLxdpgRtPl5ORTCTivqYyTn/xl2Plfb8DABhe2UK8sVH2Z5GDre+YGWx8nYUbUFg1m+WwcpNHLaqTTJM1D9ecPwcChzfMGCiZwcbhkfa3wPEKRNwpq7d0Y0dblPlaF2v9tr/SxfjGbmkdNRi59yIzFFYdB6+y3Fjp2ffL5EVpmGQAj56NAbG6oa/75D8EjnvgxOg5TP/rQoR5Vmp2X9hrm+D1adUUOjhtwhpLeFZtBWB1WEujqnDHThy3wl0zgP9GRO8ioreafXcx8yUAMH/P1V1IRG8loseI6LFrm0tSeLVo0aLFXCCXVG3Wv9sNt4LE8VnM/CIRnQPwq0T0kXkvNGGJ3wYAb3zdp7DYu1quXIzEoQY7Xqh0K3lk7piDkThc2eNhQFX59utAmTipGuLcDwdiu7eUMBjKi3zqSx9cqEDpDMAlR5KJBElyq/ukn7gV4P6VHZ090Fk5pdh99rJry/jGbuBrYp3M9l64itHmtqM9uGCQ0DRS1O0g2x86yal3sou9ywNTt7ay2d8yfgXDXEsgXk7y/c2hu9/VcysuAyCduoDOw5+qy3zdGoqtq+VHVbFgI5UHK82AcghOrPITDYrzym+GVq4uA/5qerqU4Us85Ky3uLMGMbheUijZ2PWHXNuAWFmD6GkLMzXYQbe/DgBINlaR3tjDyEiRviVcNMoD6zefix/dyCDiCLISj8o1TTZIGzDvu6m/WLsroH2i7RedBSNYoVg9G0qKB4F23NCbxomwarxQNi6UKJ3UY052ivdqiJmDgkra7k7D1ImDiN4+RxnXD+MCz8wvmr9XiOgXoZOaXCaiC8x8iYguALgytRBdQDC42ElB7e+W+TOiONRp5FkZzynPAGTOBJTiBGxj8Aip4wp5E4eFpXjsxyXjyJm4CqXTsfrZyYSkij7D6EOMOa5vcWVjCxVZgbgbuQFYpcqlWd382BZ2fuNZ9DaeAgB01juOGlo5s4LNj2y6PAynX3XaTRxRv4v8havYv6bbKhOBrgnhk+0PQUI4y5tsMEbS19v9c9opz05i+9eGiHqRC9k9uDxw+pfVc7ovH/qTn6fvY+0uiJVL+t7XzyA6cQ7KhrX3YhyhbrBpMr2s21/nRezTKPa0qhnvzYZNgdpZBaUDiMF13R5vEUOdFe2kahc7w0EZa80sWpK10iTWeninu4Mg9hkXClsf1+UXaYH9a/s4+2rP/LYb9oEftl87dRoH006nNPdmBajcWcMVq2ddHCgyTpr2GE2jGKuooZxqdtfqoNwzrVyrzXjN3mLyOz4IiMj1952GWXf9yQD+7JTjBJ3y8EAgoj4Awcy7ZvuPAvghAG8H8M0AfsT8/aWD1tGiRYsWR4U7Vccxa+L4AWb+zWknENHfPET9dwH4RRPtMgLwM8z8X4jonQD+LRF9K4BnAXz1rIIIpXKSVB7kC3e+C0KAvcUGRbGzQQegLam8Y2xXVqpAtjdwq67xjV1H8aycO6kV4jayLOBCUsfrKxheKa2Ii6yA6EVOYVmkJT3FBQeh1Iu0cHFw9q/l2L4yQGIU0P27+i4/NBcK770xwuXLmjp6ZLWDi0YyufDwKZx6+GTwcm898ay+P5NhsLOu77l7cjIxuZWi4n7H5fgWSaRDjLiw3wqjrZFT4JMUiLs2rhHhwme8EtEf0RGiWSYoHvx0fcz6V1hJw6cVVDEhHYQNa6A9nDK9QQqpSB2NkobflpsBEjoSr7T+ECX9w6M9QEhn0EFCuPho6c4A6e6+M2qohrQvvNhkAHDmk7X1k0hijLd23bEiyxFhMhIuAEeDuqRWna5LhEajXZ1uwCjHi85qKQWY5xtQd76llZD1hgSqCPteyPI75DA2GJRqpAZr99ty5JKkBGqtqmrBzP92VgHznDPl2qcBvK5m/yaAL1i4QKX0Ny8iCOORTOO+s5wSqxvIzj3iBq3oyd93aTD9iQZAqReBlx7WjnFSoGuC9SWnT7t9gA5B7ufq6J4+4WI1Wc/wyAysRVqgd0aXs/Uxq1/Qx5J+OaHF/RjrBTvKqX9X3znrCUl49Yt7kLv6axoWCtvGxHdja4T+XStuUOdCYf+Kb1obY/0+bXcgu4lrtx5wCpc+NFnzvNmV0qG+bTA9IdA/10Wymrh7GlvaLpE4/y3fgcJ+qKwgRoZCXDk56eVfpR6qnuDzoEpJHTRb2rInj7qyKgH4VNfE5lI5MLih949LC0AAECdOo9jS70r39An0zp7SgzkMjYVyoUKjkMv3JwqV5Vi7T3t5bz/1AmQcuXd6QmeXRGUI+G7ffRvR9ovIT72iPNdP91rjyOeCi8oEufeo/RS/E10koiB4pO+MWTs5eJMTN1jYVePVHRQE3JaK73kw19RLRI8A+G4Ar/CvYebPP6J2tWjRosWtjVbimIl/B+DHAfwEgGLGuccKFhGUl6iFk5KC4T3tY+hCZF98FeR1kyM+isGDHSiT6Q2AE8ntSi3d0ccKExEW0NRNctcFJ3nIbuLlhM4R97sulDhJgXyUuvI2Xnk3tp7QTnZRL0LnhERslNBxv4tkTbfdlie81Y2lFc689pW4+w9/Ej7ThOH+xH9/HCOT6W24NcJwa4SeobWyQeYU7DKWmvaw0XE96zCJCNRNXB2Rd0/jG3vGV6WMTbV696prl0oLV9+n/s2/qpWldvWpcogrWomP4QDqVW8OJQK3XfkYq5RSjaI7OHcOKSMIaVFX1s2gqrx+gRDuXaXRto6YC+gYVlkKtaPNzeXZizriMQDOU1B/3YUAQZSg60U7LkwkYyC0qsoGI5x46KKjtk48dBH9C6dLJ9Y0Q/e0jgxMUYLo7vuBT9FrRJYxYNIUjPpndAI0E2aE8rGTKpSMwVw+SUKYAVBxmcGPiUKrN/8ZepIfVSWN6ntQ+U2sgGLSwdSGHjk07mA/jnknjpyZf+xIW3JIMJGOdyQT/QH6wdXMy8OdPuT2CyhOaBFd9U/roIcAos6zKK6VaX45z8Dbnle1x/OqLIcyJn2jzW3IboLIeM9GSRerZmK48cRziA3dA2hrpWRtxVFC4xu76J02gf0K7WAYG8/u7un1sv1SmwLvX7kBQE8q9oXdffYyOhur6JzU5azdvYrxjo6VtT3K0bs2RNdQXJ31zkTiGTsZ+cHrZBwFGQD9eFvFaIx8lDv9S/+uFXTWO+if1xPn+be8pQxjf+ERPfmaj1kMNqHO3K+PRZ3QkioYIKZQEPNa5tgyJ65v9mieCJLoHZ9meTXV6W+OCUiH/o+ctQ+LyOUfKWDMxl0I9htlXUk3oEpEd8VRrR2YcPjp5MBpgxbahUliQt13TunJAlEceIfLi4+4VLksIqhVnTmQAE0bOR2EnwfHWoaZxZdXv86/gclgh4B7ni5uGat6PUnttaH+ilQeBjS0bVuSOW5rVdUAEzMKAP4TEX0HgF8EMLbHmfn6EbatRYsWLW5ptBJHPd4F4ytlfn+3d4wBPHgUjToYCCwTTVORAOCtUE38HO6dQBH3IHd0pj/VP+3ySqveCVD3BqQR+zkdlUrAThdidQPU0efGW1dQmJWfjfnDluLyLLO6p9ehisKt5K00YVd4AIL83bKbON+Jzsk1jLd2XR2DS5vOWkvEEZ77Te0n+dR7L2MvV3jkIZ157YMfu46hoZHOdvRKsHdmxbTnhFdvBpLS0VFx30sGFcc6QY+l47zkU7Lbwdp9Z13btPQjceIhLcXh/teHsaJEVNryF6mLP2XjDvmwsaSc3b4fP8pGx1U5wNVYIQf4eKvK92mhStAgBc1TxxwgU7+vULYh5sWZHjjPUFzW1nC+k2p07p4gFQDnWZm0K+kigvbXARBY/qHXCUKlkxAQ/fXSd8SzNEweeRT5+jmXEAlSAVa57GVsrLt38q3jJpJteVGIg+BTC9CGU547sQJUUSYKCyImLylWVavjqAczPwAARNRl5oAYJKJu/VXHBCE07SRCKoZUXpp+mn3KcMli7yqKdR3QT3XXEK2dQn7yHn1sfwvSWrJ0+6A4dhYuXBTOUZDTEZCnKAZ6IFVp7gbgzsYa0t2Biy0kkgiym7jJQiRR6YCoFLqn19E7e8r8LrDzce0sl49S9C+cxvXHPwEA+MRvPeecAz/5s+5B92QXu5e0Oe4DlzuORjr18CmceMUJrN+v77F3+gTSXZMB0MbGsp7FFZFbxjFUXAZrtPTafW/9TgBA+rH3AgCuP/YexP0uVr74G0zfrnhmtdoBzFFSgxugvu4ndNbgvHstKrGk3G4GGDbcfByGRq9Bc6yqqpnuFAok8Dqu0bHUtLOxrKYyqvSZpZ1kEuyTJ8+VTqwA2NKLK2uaUs0N9SJkGTsNZUwrAOAsg+zYYJuFphNtOPROb4L2kiYdbH7yHu3h7mgeLzCopSTrUrJWrNKqwQkFEYT9IucMuR6UPQeCEPz+wmCJDp93qlXVvHf9O3Pua9GiRYs7AkQEIeVc/243zNJxnAdwEUCPiN6AkrJaB7DSeOExIggxAGMFUone6SSQpF8q46IuOC4T7XDUhbzwkL5OSiDPQJFercsohtq7AQBQqoA4cdqFZCdRCmZWwWyzBepczj3kJtETFwpsHaukQOfkGoRRikIVWH9Al9V75FPwiZ/59y48yPnXn3Micj7MsfX0jdKS6Rvf6OrP9ofonT2JlXOaxkpOrKF7Qee1Lga7yHb2HVXlR/61WQ0t0t2BO56fug+UDhG97o8AADa2NyFOnHY+CH4yJiKhndrsCq+7FtAcZJ8JJhXMmh+1NEe5WmWjjC0j2c6gg6pKdX/V2RTGxAt5PrOOaRZei4AVyCrHow5gFLhkwuLYiLScjpykABjLKkuPCumkatEFOI+df5JIum6blJGYLTUlhE7I5A9wp7XE4WioasRii8rvgH4kGeRqt5DC+mNMMYZowgwjhQlFuo0y7F83Q2Kdvy3hd3MnYdZdfzGAbwFwD4B/iHI83gHw/UfXrAOAZGB6a8EiKu+SBGi86wY3yyMDAGSMon+6TBtKAsqLyUNRVmY6665Bmo9MdPtAFCNZ1xRTcfUF56AFGB2JF0wu3tiAZYTznR1XfXzyJNRwUH7oK2tY/Qw9OENI3PvlX4CdD2u9RjYYYecZTWOt33cG6/efd0EXAThLmtHmDjobq2Wujih2FJuEHkwchHADh6Pk7MTn6WHU7/4iojd8oaOfks/+E1DPfADCmGgWSb8cbEw2RWEtW4hCS6oGVLP41Z80hwUWMDlh+Oc0mXIuYrnll13nNDiN5qqc5xY91QCPQjoTXKgCUN4k62Xg47QonyES7aBmjylVTjBAGU0B0NdEsbOGoyiG6pb6sLCd/sQggmflTxp1XVh6lTd7fB/UDHpmvDHPI92Gsz886I6lqmbpOH6KiP4NgK9n5p++SW1q0aJFi1se1PpxNIOZFRF9G4BbfOLQoq9IB5A3Sn8MUjk409RQceYBcHetUSHLnbXSQsX6gwCgfAxmBRpbJSABV03MJ6FpLEsfRPe8EmJNU0N49gmIOHKKZbKrerPyi1YVxNoGAEBtbyI6e7GkD+IE6dMfAgB0XvVGiJPnsP5afd2Lv/LrOPuGhwEA+5eug5XCyqdqiip/9gkMr2oraWuhJTta4slu3IAc7ZvrNtE5uYbuA4/otgoJGCUrd7Mg5DxJgdisUP1QLICm+8TqRkBp2JWnyMcQu5ehntOSEt/3aiyCwKrKy8pHRT5JQQUXls90njDnTf4btRLINOljlrRRhV2pV0KvUJF5yuhUS6E25IeQgA1DogptFGLpGCHBJjUlSQmGJ2GgfHaUdEsJxv6OEvfui42zUNJTeE9kvPJoK+95B6f4EgYwKWUcRLJYkBLkuOesJg9c59T2tFZVs/CrRPRXofOAO9fqW8qPQxUQ+1s6baw3WQTZ1IoM7MX31zsrD95ZZXm5OWQMMION17UYbjtHLIotv2wsXfIM8qyxzFrbQPr0hyBdeHahKQI7OfTLiSq6+wEUW1fKPAx33Yf4Xj2oZ88+AXn2IrJnHgcAXPxjX+TosNVXvRpqexP589ojW5w4jXhf60Lifg8kBbI9XX8+HGPfBF3ce/YyTr3mAW2Gadpqw8gXuzdA6cjpOYQUiFb0xJG88rVQgYltBpy+WIr/RYbIUFN06Qldvpkw1OpZVBFQDA0DQ8CHqxxBCP3gvAWc76Y47U1MJIvqMA5yPqsyQ12RQZjUxygynUrWUIxQolzcZGZCUKW1VFCsp7Pgogz2SZ2unoBssMIo0e+myflRrJ8HhLdImtBjlCa2dSbTpjEHcoacwGH1R741WNWKbQloqarp+DPm73d6+24xP44WLVq0uIkgKnOT3GGYa+Kw/hy3MqjIIfeuAfkYarBbxpxSRakUPHXvYorOuv0A5GATRVrSBayUW3kUWeailVJvDcn9r0L27BP61OFAK5xtPKEodqtAsbqB7Pknsf2Ujl117t5HUGxecnVmz33MbZfKd0BtXYHKMwhDlRVbV0pLqf46oAqkJq0uK4X9l/T26MY+xjf2PIX/qqdILcD7JVUlu0kZu6i3piUmL+Kt6p5w4TKivavg6yZZ08ZdyNfvCi1zvEinAWr6Wyhvhegpuedeyc7ytzgImGe/QwcpVkRlezt9sA2LMdoFZxlgrPWCNACq0H4cVuIYlzSiVXg7adury0obbtATAhQnUBvGOTNZCcPd++2sGC5QRfo7NB1VU+dclzTURakeB8R44CzVRDo8WLsmSw8s3O4kzBsdNwbw5wG82ez6DQD/gpknA+EcE7jIoLYu649IqSBjmh3U6ePvhVxZg7r/UX2Nl/dA7G9BDK4jP3Wf2YGA4/ZfTNU7EXD9nGfO2pDECMWungwkAOr2IU6alOliU3/sqbVaKh0JAaD7us9G5xFDF21dQbGpPdyzvQGSs+dceHYA6JtMfiSkDrqY7pf3Yj3VowSD5y+5lKKDlzYd/bTz3C4e+XOf6XQsLCKQZSeSLhAlSE7qY3GelrGTrr0IPnF3yXNHiaYsDLWh8jHUA2/CPAhoquqE4FnBBI5cB0V1QbCoPsKdd4hJY6LOalmmT2UCtaL1ZNH+FlSeliakvb6eSGDeu3Tk0gZwOiqtpaTUOg/nrCcC59iqA6A6eY+L28YiCvUYU+5jKRPFEYGyobP2g8oh9m/oTeOse/gKQjrwUEURfQmAH4UeNv4lM/9I5fg3APge83MPwJ9n5vctpfIDYF6q6segs1H8c/P7m8y+adkBW7Ro0eI2Bk1EqjhQKUQSOpPqFwF4HsA7iejtzPxh77SPA/hcZt4ioi8F8DYAn3Hoyg+IeSeOT2NmP+HSfyeiY5vtaqEKqP1dF7vHJWbKU70qBsC7N7QC+Op/AgCI132By14mrj6NYvMlyC29yueLrwqd2XxnovHAKZI5Sx31BACI4/KYWbmLlTXTlgxcFGXk2Tx1lkxq7wYo7UL01yZuLR+OkT3zCay9SivLr/6vx1zUXZFEiNfXke/pkCMkhcs6ONrcxtX3PY39TeM4+IZXYPNxTYXd+zmvRHT3A6Uvi6+AlhKi1y/vN4pdnC6KYi1deYpGlonLXueHtJ8AUWChNFXC8Os4DBaQMKY6tx2Wnpp1L5X4as7XKO6ZGFTm2HjkaFi2fj9WqlBl3Crf2gpA6MMRxZpOtZZaUQyWcfm+V7LzAVOs05ah8D4KShHQGQpNnDoMtsr4ckt0AFzGxAHg0wE8aRLbgYh+DsBbALiJg5n9SB2/B+1bd2yYd+IoiOghZn4KAIjoQdxqeTmUAo+HRofgfUCAG5whZJA6tnjXf0HyiKat8q0r4CzVlk0AsL1ZmiwasZ6NKWu6vVnyyiOdHdCa5QmgdOLbOKspIGvmuLIGNSqpM5VliO7W6qPsmcdB3X6pZ/BiEyXrfYw2t7H/zDMAgDOPfrJLJbp/aRPZYOjiX3VOrjmq6spjWrdy8gHtnCi7Ce77Qj3/9x95FSjpubhHUMrlLrBUSJlyV4YWOazKQcY6q9VRFs76hiaPQQA8Jx01rxPdrOumYKp11zLpqTpMBAJUAOkBqVi/C+L6pVJnl47KuFWqskhyocwBZBlEvwtx9iF3DzZQoequQXnxp8RoV+usauipmV7dyxjolzhZBMUWKbCrc/CowW5JEWdLCqu+mAPgGSJ6zPv9NmZ+m9m+COA579jzmC5NfCuAX5m7oUeAeSeO7wbwP4joaeh59hUA/vSRtapFixYtbnUsJnFcY+Ym5V/dyqQ2Hg4R/RHoieOz5634KDCvVdWvE9HDAD4J+iY/wszjGZfddPjSRu0qTCiQ8KgiVWD84d9311PSDeiZ8sllmhawFMG4tMoQUQwWnnQjRClRrJzUK3JjZYQoDigDCOGc/CjpgkcDKOMXMn7hWew+e1nXZyQaW26+P8KKSZy0/trXYvjUx7D7rJaU/AyD3dNruPuLPsc5JKrBTukncvIskI8dxTTRZ1FcrqaUKiO3CgmOu1646l4oLXhKbq46j/k0lYkXtlSaoi7kR7XsOWMu6X0LJomqK6eJKmuqswKOuqBOt0wqJqWLi4YoCaLm+hZXor8G3PsaFF54DRcLK+4GTodsM+IdgbXYTYeVYPMxxHiAwtLG6ch9t36SssOBQiu3g+N5APd6v+8B8GL1JCJ6LYB/CeBLmXmzevxmYpEIXW8EcL+55nVEBGb+10fSqsPAmih64qgzO1RFyG/6k4qxdgpi+1hPaqWAPEV0l7a4Eifvwuhd/10fy1OtD7DwViBiuI1i9QzkhraAUns3ACFKz3Ihg/NZKYw/rr2sd5+9jNHmtj7NZOSzdJTsJhhvaZ3GSQArD38S+q/VlBtFSeBJDE+UjlY3gtwN+eZLOmS3rd9+ZG4CqXGyi2LtVT9BH5l8GROmsjOC2VWytgWH5qWu5jy2FDqqdoKZY8KbcU4QoC8I6U5Abx3RGf3c1Jn7gY+9U1+Tpfp9rb7T0O+B6vTD/jVm0U5/Yo/JBJQOnZf1RMbDZQVyPGqwAhkrKjncAvKxW6gx9qddeTDQcpTjAN4J4GEiegDACwC+DsCfCqui+wD8BwDfxMxPLKPSw2Bec9x/A+AhAO9FqdtgAIeaOIjoXlPGeWjN4NuY+UeJ6AcB/DkA1v70+5n5HYepq0WLFi2Wi+VMHMycE9F3Afiv0Oa4P8nMHyKibzfHfxzA3wBwGsA/J73IyadQX0eOeSWONwF4NXNTHOoDIwfwV5j53US0BuBdRPSr5tg/ZuZ/MH9RHKy8XCiQwNKk8pC9+Dy6Nannj1GAK9KAdewr1s5pqgfaGY+CKLPeNcbRKDdZ72hd5yWXe1phxx//oFvdq+1NjK9dd4mW0p2BS65kpY3c5irfGUKa3OH5aIxToxTde7SkS92+CyMCIXT5Npz2iizrGw4g1zbAXkwqZ62TlRZp9p6sZVixfj6041e5drL0LaE8eqaaTKeKWj8Bs+KeGfF0HiwiWRzjqrrRH4IE8jMPQnYMbRl1IB7UBg7F47+nw6HbhErpKHyfg8i1oeOe3w9q5SQoPYIV+U0GFRnkrjFuIeO34iuvbaifpVW4PD8OszB+R2Xfj3vbfxa3kPvDvBPHB6GlgkuzTlwEzHzJlsnMu0T0OLSFwaHgD+SBueI0+LSVfy2guX5VOHM+OqcQ32fiSF1+DuLE6VIfIKSrr7j6AqK4g2KtpIMoHzvnrvj+Vwe6gU46wvA9vwUAyIdpGRxRCoxv7KJITbmZQpEZfrrYxeaHnkbPmOD2Tp9A7yEdAFH017S1maHtVDVAoXWWNNsunHrlPOomIJefITaThQ05b5wjrc6CwhSoVW6/cTKYR+dwEDRNFLc69eI87AEQuXwnlKfu/XE5NDqlxZuziDt5PngWU6sSkTbLnvfZ2OvmpRYXRFObZwWs9Cc/UrnWa4yOckKkcGK6gzDvxHEGwIeJ6A8AOKU4M3/FshpCRPcDeAOA3wfwWQC+i4j+dwCPQUslWzXXvBXAWwHg3nOnltWUFi1atJgNotDY5Q7CvBPHDx5lI4hoFcAvAPhLzLxDRD8G4Ieh9Sg/DJ1E6s9UrzN20G8DgDc+cj+X1lMSvnWUTXwzIX342zVcpZ8PHICLiCuZoYwUYRXWCKylyrLyK89BDsMQB3zmfgCa8vJpHCaB7ufrlb3s/zI23/Nh1w6SwtFTuk1GGS0J+TB14UjGN/agjNXNyn33BpZinJfJqFy+aNsH1b7xfDeicxeh+qdsxWXsKfPbSRtA4DRp78sdm5ag6agsem51ycJHXah4a/kUmyyWXt9H978G6uqzJVWVZ+6ZWQmlsR6qvO+e0x+pvMygeUBfmFnSx1JoSKDsM1VAjLZLS7F0GMTuOjK0EkczmPk3px0not9l5s88SANMHKxfAPDTzPwfTH2XveM/AeCX5ypLCPcgA2WM51nrTBmh9SC+FZUrAwjj+gA6ro/h/OXuZRfTqvuq14EHO0F+AwdTRhAbRwjQJROw8NwrvEG4AAkJZSxbxPppF6xQpTnilV4ZSHGUOn2HiCPIJHL6kJOP3IveI6/RReaptuSyHsJ+9jghg4mUszRwOpQnzwL36nIKL6YXsYLvAe4+1EqKUcAMDk2mqi7Bxs378JY1WC2LkmmuwPOwN0EVXdBBnwrduBtytFvqogCQ0W/Z7JWBabQ7SYSWW6wARhkWPQiVfjBd09ImBkzpby/4JRWpXvwYJ0f48b0slh3Jto2Oe2h0Z58yCdLmAf8KwOPM/I+8/ReM/gMAvhJax9KiRYsWtxCWZo77ssOyJo6DWlt9FnTAxA8Q0XvNvu8H8PVE9HpT7jMAvm1mSb5NtW9JpTyHPyFBUQLR1WI/9fpOOexnvLPnNtFaansTZCylxN2vRPbRxyBNlFs/zDVV6CCb47swzlzRqQu1K3UAiB56Hbof1VRVkWXIBiMXSiRP4iDzmIgjJOu6/vUv/JMojPJU7m8h/cg7Xb84aytAx8waDpz1mTx9HrR+Rh8cD6A27i6jB3viOEcrYT9ZK6ra8CKM2gxyFkcsbRzFqvcwZS4WysP0GXNAXTEJEJm2iAi8espFfUWUgGKT3z4fa4W39aEBXFhxsNLZLp0fR+WeVBGYHh1U6lgGpivEvWGnyHU7PakZQJmsKumWkpla0mBPaKmq4wAz/zbqreMW99kgAsWJC3IIj/d1sLy91Uf4dFQUBx6lJEQwG/r6AbW/615otXISlHTL8OTpCMpm/FNKh073TXTzDPE9On6QSlYmB1yT56I4cQH9r/tLAIDo6lPY/Z+/gvHWrmubNNRUkeWIugnu/qZv1WV2SmfEfP084vs/2cXfoqQb8OFqOCipvQuPlBOckDqjn8sC5zukCUefAChDcPuTg7snzMRxDUiLYJZJ8TQsdH9N3uisdAY7IAhGSNB5Jvz0qM6cvEgnLNpszhTIaLpTn5CV+nlycsFyJtNZCBwj3c4a02UZgUd74WIvikHKvu9p6QyYLzFW1ZLMcV9uWNbEcRvEKmjRokWLBUAUGsXcQZjXc7wPYMjMiogeAfAqAL/iJXL6pqNq4PwgFyeKAReRlqI4jMHkX+EnugHC8A1ClpYlAICslGKyFHKsV//F6lnE9zzkfB9o5QTIJtpJR0HYDzYhT1TvhCl4Rowjuy/qgIRwdBRJAZXl5pYUznzhF5fhzCtJdvjkRQgbfsVzYkSWQghRhhUhATKPU/VOaGnDcx6bsLKxf22z57T1v5OwEDVVhXOi1M6VTpKo0Eb5qfsg9o2lum/RVqQQe1eDMPel1BLNlpwqMbZ8iWfiVO/ebvbz9mOeqd0bpdVgJYYURYmTNJZpQtvmHJ+O3wLwOUR0EsCvQ/tWfC2AbwAAZj5+5bWNVKkKbeEkPH29pY5gM57pY5ynpZe0RY1ZLeVpYFXFeQr10sf1OQ+dRr5xD+SVJwEAKumVg7OdMIwTEqcjiAc+NaQ9PIqHG0Jbs9Q6jcR4b0f9LvKBnqhW3/hZ4HtfEyqZvDI47kFu3KV3Z2VwRh1zqhSzVZGVE5opw58kgkGwSMGiF9Tl2nrEA0cdPVIdlJfdBn/iXGQCOIxJKvkmzg3OkSwiIOmjiIwD4HivvE5EEMNtyBsmVl5UUlws4+lUlVcnmf/m7dOme16q+a2XRrjU0yQotjdd3DjqrphFW6n3dDTtcloS6lXvMMz7NImZ9wH8SQD/NzN/JYBXH12zWrRo0eJlAMsMzPp3m2FeiYOI6DOhJYxvXfDamwOGsaZSoaWDKsq4VcBkcnmfmoqT2tg2DOgEOrYqpZBfegYAEF94SIeA6GtLJo66oDVND4jhDtRw4BTnWNnQZXkrxjLrmgjoIV8aKfqnEZ066+qXALqvul//OP+gK8uVY0ECKHInSfD6XZB7Jm5knunVpKEe5P4W8qSUIjhoi6fCUsWEk99hVpMH9YmYdt0ylLaLSAsHuYepzpBz5kNnIQH2aMTuWunHoHIoccol5/LbSSoHMwM83QHWtbOCufOML8EhcKKuSrg832lR9Prh9x3FJRXr31/V8urAoNtyUpgH8w7+fwnA9wH4RRO18UEA/+PIWnUgsLZiKgoXWwpA4D1KHe1F7egpLwfFBFepVHieUs6MV/T6zoscl58B3bPi0tOK0S7I5jcQErRxFzj2aDOf9vFfZjOQ1H1A3FlFfOF+qH3jSCgEcLeOleWsbIQIynGIu1Be7Ci2tAYA9ugLUrnOBAej4yBRP5gQTx8sanDkDnNHgMNSMzPLrCu/Lvx8nSmzM7GddLB05t0iAmSFwjNpVEU6gNy97MytVW9jopy57usIn2tzSH0qo0J4+h4aD0Be2gAAYVoAL6VCNRbbwRuJyUgJdwgW8Rz/TaMkh8mN+xeOsmEtWrRocWuD6if2OwDzWlV9JrSH9yqA+4jodQC+jZm/4ygbtxAYpQ+HKuMscZaVSu0s03bXnnOglTSo0yvPB4KkTtb/w54TXXgQuGCK2LoMKlKojlZcS5UDqlRCqs5qYPnBMkHgA+FJCgF9QZ4YTAAuvBLi6if0TymhrKLTluH7XPjdUgkB4lZIUdfQUaYtQabEKIhd5IMEgEKVFEiNlY07d5EV6RLziN8My56DSFEzKZ55V/mexdNEBGI3kIV+SBDSPSsVJTqSbOA34sfH8kOzTxkYa0KUlNdNfwZTDQOq/eTTt1VDCJuJMu5A9tfK8D7WMMXmGffD6xShdeWh0FpVTcU/AfDFAN4OAMz8PiJ681E16kAQAqLX16GU7QQCQ0/J0owWUiJ68LUAgPyZD5VWGDY43P6OLs/XjZiy5WmdTyPfuNuJwVJEQDoEjNmjUmsgm2lNJppKirWOwYZ9LjOveVZUomIiWfmwVNJH5GcatB+rmTR8kbk6qJEf8tzoMaqWJZSn2qrLtK/pw2YSIBmDDJfOrOZ34jliyupYYlHVTgANdjuLlNt0L0Rh+5pSBrAKzysqlFayEsS4amobFfmkvmuetDwHzBoY5HWpa1ulbqfP6qyBkz7I6i+sRaSXl8dOGMuiqhg33/z4VsHcBB0zP0fhymKJ03aLFi1avMxArXJ8Fp4joj8MgIkogdZvPH50zVocFMWQZ+7WqxNVlPmTVY7imrZl56IAZymKF3TKXnnidGnx5KyrzIuwonQiJECL+KycM5XqndQhHQDwaBu0dx001jnAWUQgk7JE7l0FywTFuknkVGT6RUtKBeaEQ52LURSu2LirV1QAQOmgYn01w5fCSjUyLldoU8Kf130MbiXoaD4txWgle2fi/LIxS5AyDkF7uCIWbce859etvitOmHMVM0txHsQA88KvVyWLmjZUy50I41E914vTpjproHxcvu+GxpwLUxxcp0a8BcJ+baDLqtGXi/VziKx0bTJTOisrER2NkUY7cUzFtwP4UejsfM8D+G8AvvOoGnUgGBrGfhTWuoQBiPMm8NuNy0Z3YSyg1jbAXmwnlgmoZwIBFgXYo4NYJi7zWs7WlRBaPMZ1yBsvlG2xHxYJUDoAmRSy2uoldvqIycG7Jt6T/9tSbknf0UrucFP4bEzSUhPl2r/OMbHmQ1X1vPdUq5KDeksfFw6kZ6kboL3YZOzrEeYzXdW/K8Eia3J0ADUDcB3VU1MHiwgkKwO7F+qeYxuKPwdHHecxTkXmvMjBavqiodquac+3iY7yV/WsTBvLRZb7zolAIkK+Xnq6U5EGmSmdNdoSzXFbq6opYOZrMF7iLVq0aNHC4LgXO8eEea2qHgHwYwDuYuZPIaLXAvgKZv5bR9q6BcBCassmElAyKm24ZQSYbGgiWYEYD9zKg0lAmcxqHHUAz9+C0n1NCRmopI88WdXlePWq7jqwcbd7gSjbB2Uuuy64d8JZs3CUlNZTVVT40rpzCkOVUZHr+wBK575ZVAfgqI2gWs/iK5A+vL+k8vI6Q9vZlR5l+zpEdx2q7TigwjQowvNJWfp10wwCmpwKZ/k8+MIbVyS5Ks3VGH6+WSE9tyMihSFkQAQm49OT7QeUJ8e9UHJhBWG+BY46TsqgbAhKB+Xzn1Y/M6x05nyHpvlqeO2e2PaFMXNurhiFIvRs5sNsCKZ+2aYid+86R0tSz1JrjjsLPwHguwH8CwBg5vcT0c8AuGUmDmspwlGncQDmeAXUXStF1iIvLYmirv4onDVGD8JmzkuH2pHOfLwx52UdUiDfuAg5vKHPVXkZvtq2y8a/sh/nlMEz+LirAQvdJKcgPQ9h69RX1lF9mSc/PmfG6cfN8kGipOqMJVVYhxnI1AIDeJ1z4xwDeq1T5AEnoGVft9AENtHHtvA5JtTgXE/H4Ofq8E6rItBNOEs++671tRWhFx8rCFwoJJTRr7GQrkoZKVCmQMNtfax3YnLy8Af7OgfHWZjRNzZroSQCBJBCf2sdGof3HEN7y9syl4VW4piKFWb+g4pVVd50cosWLVrcCWjNcafjGhE9BKNnJaKvAnBp+iU3GaQjwdrsZVYcViC3AFckQXEXwoaI9lZZHPegQKUmWUgUvQ29GfcAZghn8VS+MIOCsJbvgUw4ByZRUl7K2MB7CrTAEqRWOrAnqqmWLy6SbVWCqSnPX0m6c4t0ggYInQW9vNNevKPSSdAo6ruTNFWTFDHtI7uVPsCbHiLFs3aa91z3M3hHqFTGm/dnmj+O70NEzIGit4wBVYAZSE25MYeuhRz3QDDGH0WZesDlSvfrt+XXWYL5CvCJxjZRWp7CW0gdDcccyjvrkHnpr6GizlzuJ4uBWgfAGfhOAG8D8CoiegHAx3GLKcuZCErGgIyd+Arol5yNAC/AoCLX5wEgEYGh+dqcAcCbHFCKwYXsuOv1jgww5r6JBFCoYHAtAw5GYTa1g5qNVoO7kReTqMaWvJFWycclvywTPXlYCy9/IHEDf1mnnXxUxVPc9VaNme+dMBkc2T3OWW51IVLepwQ3Dc619ZGjwAJzXSIUzMiVfhc6pAKH0owixOaVoGxYenexAmQSWh157Wwaw6lav3/dFBAzpKDgM1Fxt8zLw4zCHIuWpZYgCnOg3EGYeddEJAH8eWb+QhOrSjDz7tE3rUWLFi1ucdxCi6ObiZkTBzMXRPRGsz2Ydf4tAyvCqtytijORIGeJyKyeItJUFgBPLpmEAGM/Z/RhMojlI7ciSmysHC9JztIzopFo1nrOUY9b9cXl6lSbxIcK+MD/hNlbWVJgrz8RH+koUG3bIXFQJbxry9z1hA+KGvwvasufZ5Vda5E3xRpvqqWTp6xuuI5FBMWV18+juMY5I7LGH57VHqX7gBo5ydzVA9RKG1NpzRrDjYlbMf1eZWrZc1aUlrJeImV1K0nVNxPzylnvIaK3A/h3ANzkwcz/4UhadQAQc/mRVjlU83A1DcUlD8rlL8X6xVKujFKkJZUjlhGUySoYjXbKgSjNdUwq4xyoC/Zi4VQsl4JJRbfKHKOZFiQH4cCD6+ENAMRazK4brOooDjsgTBRquGw/yOKyBvyDfpQHmRwOUZ8/WVR919yAxjyH5ZR3vIFmYqJwMqrUP1FkU662yuLGfy+DiYQEwIAU9mMo9RYKhNSLgSUpQWRG56RIQXk6V8bG8F4qJuEz7m8Wqn0FzFyDLVD4nRtyZN67PgVgE8DnA/hy8++PH1WjAICIvoSIPkpETxLR9x5lXS1atGhxIFhfjln/ZhYzfbwjjX9qjr+fiB49kvuZE/N6jv/po26ID6NX+X8AfBF0iJN3EtHbmfnDU6/zrYdqVjVEQCTISRwFA8J7pv7aRCvp7GpRBT5Yqrseli9jpKS7MsmHldXaZDtqV71m5T4tVMQ0J7Sw/Ga6xElKpDStVkyGX6jWUxvWwpZplf/+itiuRw7gbLcUTCu7RhJtPNWXFqZVZ4430SX+san1BS+gbCyrvMBKgZOr81JwnmzThPTT9F4ZSIIzGmEq75cISCQhM9xPAcCa7LuEYTaKctyblDoCX5FKWoBAAqo0qOm5zZB0l28gsZyQI3OOd18K4GHz7zOgHbI/4xB1fhaA9zLzgIi+EcCjAH6UmT8xz/Xzeo7/05rd2wAeY+Zfmru18+PTATxpEkaBiH4OwFsANE8crII0mQ4kAKX3CwCQsbMQEZWP0uc+pX/MvKiyME53QoJyY8YrYzAJJMroP1TuDaJi8iVv5NHnGFgaeN9Zg5Ib0LyMcSwiHYeo7sWvWoGxCr19SXjOY1OoqQX49sD8l/lA9MSsAb62TQctr25hApPGddplNfflFiS1ARMRWvpRzfP0B1k/jpOvXuHyFXN01zSTWI+OAjgMneVNqL1IIDEVRYKcqTsAbfk3LSXtHHqnhfRpMwJOHgmWswCaZ7x7C4B/zdqL8feIaIOILjDzQd0ifgzA60xupb8GnW/pXwP43HkunveuuwBeD+Bj5t9roemrbyWif7JYe+fCRQDPeb+fN/sCENFbiegxInrs6ubmETSjRYsWLerBRHP/A3DGjlXm31u9ouYZ7+YaExdAYSaht0BLGj8KoCF20CTmlbNeCeDzmTkHACL6MegIuV8E4AOLtXcu1C03J5YTzPw2aP8SvPENr3fHJxPcl6I4+QmPagq1UoggcjbgGUWIizL+FGUDJ4qziKBIQqoxZqLO4W+OFUudwrA81ryCnay/QiP51lp+n6lCK/L9yKJWioLuX99ahSDmkxDm9k04mPpyOkU3qVSeLGAef4Ea2i44YbpPTR2t5IIwT1HbNnbJnH2qmF35rixfomyiOysSTxWCC3dHVFSkAxLuZaR8XL5D1heowfHRpzsDg45Zz2fCpIqDe1w6eMq3NolrzPymhmPzjHdzjYkLYIeIvg/ANwJ4s6HL5ubd5j3xIoA+ND0Fs323MdWdY8RcGM8DuNf7fQ+AF6deQVR6M3uhrH3qiFQOKAkYfUStWaBXnILnBcue41ORA3EZx0lwJWhaxQKp5G+nTxqzdBfhufMNMlW6wh60vDFl2uvX56DJeNQ7E2MhPHoCACsUhteTFb4vqMNMQE3tbqKkfFql7lgTJsaNRSagRfjxYLvSoMq7QNYjzov7VR6z7RTB71k0ZNMEyD49xZPUl/0tQGAvooKd+Kkhm+DUbvSpSl/3NSUwY1Pb636T76c+wxR5stCKpdjSwfX04uKYZ7xbfEycjo8CGAP4VmZ+iYjugx7X58K8E8ffA/BeIvoN6Pf7zQD+jnEI/LXF2jsX3gngYSJ6AMALAL4OwJ86gnpatGjR4sBYkkvIPOPd2wF8l9F/fAaA7UPoNwDgTczs6DJmfpaI9ue9eF6rqn9FRO+AVuIQgO9nZjvbffcirZ2zvpyIvgvAfwUgAfwkM39o+lVkYu4o+JE4ueqrUGSQJkZCwdzoDJSr8pgNs2DjUZk2AgDGCugQypUPNefrDlZj1UOHsJSaLKuiTK1KHYBW8GdZqQT1QrUU8cpEE62EkYx3dfh6rzxi5VELFNTht7UqbQRtZpSSmxeBtYq6hey0FfFcCvPDWOM0iXcTddRYzTUohwPjKsb0VTWaJatpFFNV2V0oRhRYPZlnZumtmnuboP9IwCW2qkrpVR8lIqjAqXSaKHkwyTuMIjzFR+aAYJTfxaHKaRjviOjbzfEfB/AOAF8G4EkA+wAOZOlKRH8ewHcAeJCI3u8dWgPwv+YtZ16rKgLwBQAeZOYfIqL7iOjTmfkPFmn0ImDmd0B31uFA5L5EnRkwdgNUxsI9eEEAUWmqqxiIDQ1DNky6sRghlQOdVXedqwcef1veyFSKqkl/MZWKOqB5aHUCUXEXIvdyh3i8dqFKR0lfF6Q6a8g9+kAxhx/olLb61JSjRvxseY5qnHp7Mw3Q5pos5kBzvogmy7gphS0wWE2bSOra4T/veeexoHxursOV12BF5rfD6r+C9vk6htyzPBQRxDTrwzmxrGd9EDCW54VeN96ZCcNuM5aTdfVnAPwKgP8LgO8vssvM1+ctZF6q6p9DLyU+H8APAdgF8AsAPm3eilq0aNHidsPxTVsHAzNvQ+uqv/4w5cw7cXwGMz9KRO8xlW8RUXKYio8UVeWltyJimehcxABQuQVBJiEMgEigXI2bMsijv9jG4LGOVg2OQDNDiy/gj7Ho6qqqfK5bjbpMfr4im7RHgnJ0RYmxEflFKZygYHb9BpRKWGlMEcsIpcqLxjvdGuyAhlUTZR/Yt6PG0uhQoBmZAqdd2hAeZMLspkprVRXOnr+I8NMN2OdnqUJf4U2yuQ8n6CcR+vsYCd8eC1qTp+XvqFNGe/bLbkLD87rp4OXGvXo5Yd6JIzPmWgwARHQWjsy8tcD2BZ3igV3GrgJsNk8pCNIT9YnZeVUzCbCMoTrG6ED5ZoeTYrbvIBUMPjNiUQVlVAbRmc5oDeU2WS75zmAAwJCOgLITphLlx2xLkJWiAsqqsq9QOky9bz1kg0oS7OBS6kaOAgeOc+RRaMuiQ4IQ6HVVzhlja94JbaLdpi/sosAfyhUzlKGeImCCBmtqI3vnMlHZb6zvtQzP7pnGKpPGdVxxFoT37aDy3QSV3jpDDx8jVXacmHdJ9U8B/CKAc0T0twH8NoC/c2StatGiRYtbHAy9ep7n3+2Gea2qfpqI3gWtICcAf4KZHz/Slh0CHIjFFcc2eMmIFDs/BCttOFpF5Z64bqQKl6CpWl/9qnYi1tEC1iF1Pgm1K9+miLYN9TVZJPmpday1i/CojciTUNjzESBMxvzyoZhhXcSygiFIt7MTCRQiRlNKn2m+HDcbhzFUmLxgyjsQlBs+z8Y4ZROFVMLFBGWUVn1VZ0NBPnWF0DepxgE0qNLrHz9Glqj6eFRhjSFE5CRRMCbfiQVC10y9btHr50BxO84Kc2DqxEFEp7yfVwD8rH9sES38TYH3ovrWSu5FF3pCUKK0fPI/Hx2a3ZxbdV4rsoC/tWaGJA6u6lmURpk36F7j9Qtc5p8riNz0SzCcuJkp0qK50OqRRFJAYwFAxraOUE8yrV3HMaE06V8WcdCbCZ+OCsorqVG/NmeNVDcQVujLaQsTS13ZwSBnQPrf0USY9eqkNmlurZgnFxN+e+Kui77gx7Nqzg1YX86BsCTdFfOdS1XNkjjeBTiv//sAbJntDQDPAnjgKBvXokWLFrcy7lCBY/rEwcwPAAAR/TiAtxtbYxDRlwL4wqNv3gFQsyIKpA+VOzGcPEczaSLo+r4afqhnUrkrh0k42ktGmkJSNcrdqgJ6HtQtYOYO+TADdeXUrRYtXIgKoiDBFRBKGoKmW5cEFlheqBKC5yszp//BcdFXC0UvOYAUMiERNIWmDyLhhsrpifMrMcVmoXyH2dG5osgmlPpO8vbC+bg2WWMT66npWdSVIf1DgxIl40nx9AhwWIm9tsw7U+CY26rq05j52+0PZv4VIvrhI2rTgWCjULpcA3UeupZeMlZDZEKiAwhecHtNwCurHLCitVe2MBRW3cC3aHjwRqvHCj1T67HbMHk01T/Px+NbTIkKDVG1rrK/I4Izdx4iRsGaoiqvNeeb8v34ScvAIl7lR4Gm+mcNWo3vConmQH+sysnDnFsXGr2ujdP6JRKl97+LvFBHe1XeOz/YpUs9XKebqcRu89szzVN9UczSPR66fDSEwr8DMO/EcY2I/jqA/w+6v74ROiNgixYtWtyxmKLiu60x78Tx9QD+f9AmuQzgt3BIz8OjQiB1TBxUgCrcilhbXxXu2ETSmKqkYq+zMbEAsCqCMCPkLZ8oHULFK+Wxwzi1VZSzE05uc4aPnpavmiqVSE8K8NsuiQJnsqB8LwujYr169WF/KmOJVecHos+jRoX0IliaU+Gc5TTGBkPDc/Ov9WjDaq5ye2adj1LgEFjxVWqiIv1VPhmxxXfctMfGBRALGfo3eVaCQRRlXxK231KdZZ+5dhnZ844bd6jAMbc57nUAf/GI27I0TMu94LzGEQ5y5cVTBl47gQBTLTNceGoSAc2zrJdsohx/MKrYCs8b10oX7IehNly0O2b+mL6trrTs78gbDDifrNtaY2UFQ3gUVmBFhEl6rOk2FtI9LEhjTaMO/TIWiQkVXFfVa0xV7njmsE2nsJpUFdQ58lUmZUBP1IXZmavSHVPrr0qLq+q31Wge7GizOjNxGbStLlfIMvQRB80kOS8YjJoevyMw1S6NiH5wVgHznNOiRYsWtx3YmuTO/ne7YZbE8WeJaGfKcYKOHf+DS2vRklC70nBh1818WaTNkoMXV2nCqcoTs1nGodjvSTQs41oF2rRw1wdBUPwUaWupddrqEFpLjUGB/f44V+hEZrXMDHIhTqaXbaUOi6py3tXP5bFldetB/V0OWsc067s6J1Ku0JIHiYFVq4f3tq0EKclY0BnpUBICC0LfMrFKo/mOuEGMLStpeFZct4qz56JoY1XV4ycwOw/tTyypLYcD13+MgLdfSHC8Un5w3iBfnjw7xhWLCCruBmWHg7f5MEgCHIYnB+a3xDjIBMOMkLpirtXbTMWMEO8Zl+a49ogdaPJclZODuc9xruuPBAXWWIXnuT9xH35zUKNL8barlln2d8Glue80HcpxD1oHbodHXy10maFwqvSVb9lm31oGsCIZYxPUzTfuzVTo5BcRhZMDhdn7wnhbpYJLeG2pywR4WLoqqHOJYNye0sQ8mOXH8TdvVkNatGjR4uWG4g6dOV7+Zg0WFCoq/RWMW4EqoBN1SkmDIy/Pdo2i3KCaM7yQHbdamljJiihQ+gXllE2dCweluPwVLBM1OpPVZ3CbjbTgUuKoUw67/jZWOp4plT21MGZVTuk67X4qv5t6odpfkpqlu6MwWjgspkkeU0PFT7Ooa5Cg61bxjjJjeCQSkEE46dGPzVQoRoHSUk6H0a9K55MOiMwIrbh887oaLMtxb9kUbh0Nfafg9pk4KvBfNjtA6Becy9j/AV+sTWopyIgX5jbwzQfrclW4Y8FnV9M2W2TjGSHqKK55JpEJR68608g5P0p7eGtUYFz4Tl+T+gf72+oipMeXkw0bRkCWl46ETZRVbVv8W5r7qmb6a9k6p8Ni4rnNi3mDAVb3LxC7yXfoLHIGMzuTa8UMmuKp7ptwc3X/PO/zHB7589BRS5tAuA1y2KJFixYtFkArccwAET0C4McA3MXMn0JErwXwFcz8t460dQeApU7c8ySC8J2SAOSGupHGIgrQ1iGkCsCEFK8qlP28yP6KyTqy2XUOsXIJcWy48arlhR+7aR7UUTVV6aPuBXYK4BqaY+bKzItz9NJehv2spKYEVReIoR1+rqxymk3/6N96Zaq3Y6GdzPZS/Xut40VInWO1bfvUP3dR6WOascJxSyEHpq18zBuCnVUQLgSYfOec3w6zkzjsczaPFwUDbPeZ06vSp97WhhPSi1O2iG9MYPhyEAOSpT1bbnUcM/ATAL4bwL8AAGZ+PxH9DIBbbuIAJi2qrDuTMB9Sbr6C3BvRiUh7yJrBss55yA26CCcD5YnvrEpLEub64If+tQswNOU9od6qaLIenrAemha/p6rv2B1rR8b9jAP+O/MnLTdhTLYhV4ysYEgzfsVCuG1mQIoyVe84V2VMK6JGM0c36daMrIvqkKZhln7pZtFcsyyuFk6T66MaoNC9383vbMFcLgysDsucnit/wtDflJ0u7GThl+X0W5Vmz7qNJuvJZV8zs0y0EscsrDDzH1DY483a5DlARH8fwJcDSAE8BeBPM/MNIrofwOMAPmpO/T0/wGKLFi1a3Apg1hEQ7kQsEuTwIcDlHP8qAJcOWfevAvg+Zs6J6O8C+D4A32OOPcXMr1+oNG5eVShv2UZGQQ4Aw0A5i8BBTZK3qkVVCTz5sgwzLfavRALK+gvOsbQ5qPTRtLquUwD71kPTmlSVRoZ5STm5O+dwlVWgklfc+5gypfS5JgJLRwKx6fBEAlDk0gyOijCKbhOUe5QU/LaYYaATYBEJZZpUd1jMa+hQh1m0zaEtkaD7aWh8cbqSMMrt82UTqsScrMrvR/sMMorJIucyhJinX6vxzObFMoWElqqaju8E8DYAryKiFwB8HDpC7oHBzP/N+/l7AL7qMOVNlq//htwqm2xn+vcoV0ik1UfoScRSKf4obicQ+13Wvfd238hbgVQd4WZNJFZfsgimvbaW0vJplXm5Y6D8KPxVlWI2fWXpPzP4WypDAeOicNv+xDVGAetCRgSdkdE4lhWKXd/1RdhvYRtn96HFvH1Zp0O6mZg1SE6bWGY9z3n5/GkTTKEY14eaYLh3PUGmfMqWnWWRInL6LF1tGUVA0uSz87/Lg+Cg1y2LXqxS1ncS5g1y+DSALySiPgDBzLtLbsefAfDz3u8HiOg9AHYA/HVm/p91FxHRWwG8FQDuvffeJTepRYsWLaaASz3PnYZZOcf/csN+AAAz/6MZ1/8agPM1h36AmX/JnPMD0PqSnzbHLgG4j5k3ieiNAP4jEb2GmSdiZjHz26AlITz66KM8S2FZfcQMIDXLJSlowgSKKucmNufT1FVeZVW14KqozlponmNN8BXps/xAmhSxjnIK2qJ/x0JAFWV5mZo0bHfXKoIy1FSaAyIiT6lOzqmwH08U4bVxdn9Oo7HKNjX346waptGD1ePzPv1pj/SgEsk89JY71/fFURy8awUD+5mWIhNJjpZ159h6OPTLKcCuDVEkgpD6Qd2YX8pb5GtqKnNZCm0Gt8rxBtg4VZ8E4NMAvN38/nLonBxTwcxT08sS0TcD+OMAvoDNiMDMYwBjs/0uInoKwCMAHptVn0VTXCOGpl8sl648vYgjtLy3258EZqVH9c9dRgL7KuVSteKaB3Vmv3WTiD538jOzjl1ZMfmBWF2Fpa3shBFQF8w4tRLj+n7mfo8MVx5LglSAC9As/evmu78mBLqpwDkxPG+W5VZj+bPqn3F80WtmDarz6gNcXQs0ULGdZPX1e6lyOo2COTB91zSv+bYUQ6DUZzRZGLo2zd+kuXHUQzoDjra70zBXrCoi+m8AHrUUlQml/u8OUzERfQm0MvxzmXnf238WwHVmLojoQQAPA3j6MHW1aNGixdLRUlUzcR+02axFCuD+Q9b9zwB0APyqWRVas9s3A/ghIsqh7XG+3SSSmom6lXUVPkXRiwR2U6PINeYfVjdOsnQcVNAOa030UZUCmceaahEc9N2cx+KolsYye1fj0s6/aj0ilFGOSwTK8urq9+ogdcf844qt0t1EKiYBNtWlBQcWVkQUSBFN0ljd81mE2qorfxYO4oezKI6D7vLvi5kRC/1wMsXOwsqttm2WgqL050kEQYjSEEUxJvLUH4R69a87KJb1zKxxwFGDiE5B64DvB/AMgK9h5q3KOfcC+NfQqgEF4G3M/KNH1aZ5J45/A+APiOgXofvrK6EbeWAw8ysb9v8CgF9YuDyEg3jJnDejHxO2TWgq69RkB7lqxzSZEFZ3z6K0loFp1kbTjtVZHNU11VpC2XuWAsg81YUkctZnkigYdPQAY2grMxnbScefQAqlPcrtBMSeL1oc+qVN3F9dn/v3V8elTxss5rV6q8PNWHAe1DpsGqpFTgtbP/KcOP0Al4oZ6x2JvdRO/uUzLkjbz8VTLBHLuue/x3n7e9ozXeYzu0luHN8L4NeZ+UeI6HvN7++pnJMD+CvM/G4iWgPwLiL6VWb+8FE0aF6rqr9NRL8C4HPMrj/NzO85iga1aNGixcsBN0viAPAWAJ9ntn8KwG+gMnEw8yUY3zpm3iWixwFcBHB8EwcR3QfgGoBf9Pcx87NH0ajDoLp6qV9Rl9v+SkpxGfPJT2oTLyDbLms1s6iCfdr5dcriaRZH9oOw+za6Ma4OUnMeIZbkqItYUmClw0wQhfXNMDRgQ9tkQ4ytaltn7bP3Z6W9umcw7blMhDFZAMumJetw2BA1dZjXEoygFeLWqCGRwvn1SAHsjAtn1BBLbUkFmLhVTM7AYhaO6rs5iC/QApVBzd/wM0TkG/i8zViFzoO7zMQAZr5EROemnWyib7wBwO/P27hFMS9V9Z9Rvk89AA9AhwR5zVE06rCYNij6kKLMemYHQlcGSrF7EY/mo8Qy6hCVIWPaRGL3JZJc+tdYCCQRub450ZFYTcq+Y2Ynvj+3k2KUKzfQVEOuZ0oFNFfP1FHVaVRRtWCbp1+mUZd1189NDy1hxTnLhHuaZdhh0LTA8uNKSUHIFbssjkVS0lZVZAUjieyiAZBRSTvWWR0ue9Kd91ks45kBC1tVXWPmNzUdnOa6sEibiGgVmur/S3UuDMvCvFTVp/q/iehRAN92JC1q0aJFi5cBGMsLOTLNdYGILhPRBSNtXABwpeG8GHrS+Glm/g9LaVgDDpSPwyhgPm3ZjTksmuz3fVSV14kspQqi0qrKP3YzUbcamrWoWeTVnZAsMNlndiXqh4tYiXWokLVEQBChY1aWXTkpHVh64kwvQqoYm/s6XMUoV261qgprVaWvXe8Avciz+W+4KUGTx+cxhKieW8WksniOwhZEo8PhjMFnXulrUTTdY9C/Xoh8AEjz8KKqFOloq6iUUv1yp/22OMg9LUuKWKxSLEJVHQZvB/DNAH7E/P2l6gmkO+1fAXh8lmP2MjCvjsP3IBcAHgVw9UhadBNRKMaKkaX9QRLQL2/1Q2/igf3rq6h7r6aJ6nXWUcu01Kry100mkeSdu5pIF9PLDu5BHowKtWS3O5HAiaj0CAdKz3JhnAZ9OrDOo9i2xaLpHLtNqLeqmoVldO+s4W4ePcuiWOakUg17bssYe3Tjfla4yd/mgbEThyTCCZNXpRuJwPy2OtnPY+V2WByFbsiHljiWX24NfgTAvyWibwXwLICvBgAiuhvAv2TmLwPwWQC+CcAHiOi95rrvZ+Z3HEWD5pU41rztHFrnsbDJbIsWLVrcTrgZVlXMvAngC2r2vwjgy8z2b+Mmxuecd+L4MDMHnuJE9NU4pPf4UaBqVVW3knYrUhBiwcF1VbrGXlOF3XeY18YP4z5RfmUVX3UyrGvLou2pKkSDFaJ3LJE04bzlt7MJsdDlnurqVWihABN9BNr8QLjMf11JE/c4z1fgS0aKtT+OlYrqzjuo09k8mKfvm6o9KmlkXqmjusq3dQ5zhf2scErgvTR3tGVcSS8uiLBunufNJ3k1mvrxIJGnZ4GZXay7Ow3zThzfh8lJom7fLYOml6Q5zeokPUXeNU2oK8vfUzfg+3TUNJ63Kf5V9d4CamFKW6aBUYZP4Dk+sNJpeDY/b3VFvZhAZCYRFhAgd2yeHA1NKJ+TnvxsePZY0IEG6mWielvz6lh8HIZymUfvV63Hn2C3x4WmFc0AqQS5iWM/K8qw+ijjl9kyfCq0qS5geQP6zY7+4X8zdxpmRcf9UmhR6CIR/VPv0DoOmQGwRYsWLV7OYG4njia8CB2V9isAvMvbvwvg/zyqRh0G0xTaQBgWAaomr3hQVuVYzcpIVnZWBQhfIpFUoYdQL1HU/Z6GRSSQoI6G34so/Io5KCXnSNiR4E7ZroK9XO0NsagOgrG1/IlK5826Nh6VP4GPeX2K7Ap90fKmlTlRx5z369fRizSduJfahGfAtX3tDLoSS5zoRs7CbjWW7h6KCvU5zcDjoNJH9bqbEe6ninbiqAEzvw/A+4jop5n5lpcw6hylBNVMHuYDiqgcvH3rEF3WgnXbj7KyP3CychSV/i3Jm1iIAoqgOpAu8kHNa1V0UFqrinkHPQBBvgaheKkThp2MRoZWWU3K19sWXdc3TQOqv3+aU94imBqQseb8RSaTRSaQ+XUf+llZ09pxXjptdiKBc/0IiSj1gtVFR5O+cRm6iLqJ4mYEnbRgcDtx1IGI/i0zfw2A91CZcceBmV97ZC1r0aJFi1sZLVXViL9o/v7xo27IsjBrJVeoUrIQYKfc1ddxcJEvISwSltpuujzObKKHWuHCnVhmRatKI4q91szxci7j/V2E1loEdW0rFGNrVKBv/GjmjWk0DaliDDKFrnE0qK5efQusRVAnbTTFQJp3NT/vynoRaW6ZlkN+OYkXm0xJ7dcDAPdvdII4bmlRhpupe56+NNLUzEXbP0FNN4SHP4rxXTGQ5q1V1QRsYC0A38HMQTRGIvq7mAzte2wglC/JNApG00F6j0KzxZSaYvFUB2uuKLzRqbT2MSaKUz6KalW+9ZcUk85x5XUzrJrQ/JEuYuGzjPGoSlV0o4agRwvChsQfZgr9uHQ887PO1eUimYVpE8A0M+qbiWWZ6hKRewl9enclFsgUu2eluNy2Vmu2X9OCYYdRxdoc21rL+fGvXH0191HVmc2aGPz7qWKaWf6ycKdKHPN+uV9Us+9Ll9mQFi1atHg5weo45vl3u2GWjuPPA/gOAA8S0fu9Q2sA/tdRNuwgaFpUTFtsLMvzcxpF5uqYUtU0xagvTVWhQLXJjXS90+/dP1aVyqrHD4O6tgmadCyc9/vylaK5KhMLxULHG/PJgzKLY00ImUp4l5thZXUroXq//qrfT/QlqZTM/aB+0jwHOzD6/c7MyBQ1BgEkcLBq9S0Mm5ToNk5ZU6ieqeFXGo8cHMyltHunYZaO42cA/AqA/ws665TF7rzpXI8LB7VQmXb+YayOZmEeM8u6gV5Q+NEB5YCwiHli3b3ylOOz2jqzPiJEVO/YuEiYdJ8e6UVibnoxaC/VxMlakhVVY523MAje/Tq6VP881YtxfjXW55nBehrL3xisEoBJ/giBcBJTlYnLdpvdP22Cn1aOf3/Lwu0oTcyDWTqObQDbAL4eAEwCkS6AVSJavRUTObVo0aLFzUDrADgDRPTlAP4RgLuhY8G/AsDjuMUSOc37CJchjSyCg75bE2J6w3kTDoC+2N9wVdUCZ1r8Kx91NNayV9LzSB6W4ookhRkaa6QHC/+eq02eiJPVEPF3UcnjKKWMZZVt6R9HWcFL3GS6wIZkSiJCtxK4zB7zqadF+qlKLZL3DP33nhA+Q5+2anKg9Y0j3LG5WzYdjDZW1Sz8LQB/CMCvMfMbiOiPwEghLydMe2Gqx5ZFUy06adQNUNY6aBHHKFt3U7yraW2bNnBbK5rqx1y9dhbmoZSmtcNa6/QFlRw763bNM/FMq91SfIelp5YxsB8Xu2XvPc0VCi7jUDEDmZ1ETJBDP2ioxTLjT1Vpq2BSaXiPqrTWUbTtTpY45rWqykxoX0FEgpn/B4DXH6ZiIvpBInqBiN5r/n2Zd+z7iOhJIvooEX3xYepp0aJFi6NCa1U1HTdMLtvfAvDTRHQFywly+I+Z+R/4O4jo1QC+DpoGuxvArxHRI8xcTCuIMd/qfu4V8YzjR/EuTItX5fskAPPdR1U57tMv8yjOm1bu063U6stowjx2+bPiHNVFda0rB5geh6vJt8DWc1S41XTmOkq0vuFMMWJRZnyURBOZMZtD7s9fp7+CrVpOVWmrqrK8CU201rKeJQMoVEtVTcNbAIygAxt+A4ATAH7oiNr0FgA/x8xjAB8noicBfDqA311G4TdjwPcxb5yj6jm54ql6hKMcyJZZ9kED2E3LRwJggp6aVo7FvClaqwOMDaBnsUwP7YPgqOu24ekBTcdEgpCYWPvrHVma7Zp31HqJE4fmuqG5benkWjeh2OHXXlNH2db1e/X9mkpPLtvcmm9PaWIezDVxMPPA+/lTS6z/u4jof4eOwPtXmHkLwEUAv+ed87zZNwEieiuAtwLAvffeu8RmtWjRosV0KIYzIrjTMMsBcBfNRkjMzOszrv81AOdrDv0AgB8D8MOm/B8G8A8B/Bk0RMCuK5+Z3wbgbQDwhkcf5cqxpjZNa3IjDpoHue66aWXZBYxVQlsU7MW+qpZX+d0kqRz34uhmRDJtdJScYSjgo07yWHb4iluNnmLmIJmW3U4kQQogNhJHXQwq25N10XEtfL8N5mYaq0nyACZ9M4CwH2e9X8t27NRUVStxTICZ16YdnwVm/sJ5ziOinwDwy+bn8wB88eEe6Lwg89S30DnTvE0PYo20TPh8fVUEn2hP5doms8hpA96sT2oqHXTA6xQ3mwsvglmmwwdF1ZkMWJBuO2C9N3uyt4Oxf4+2CWuJwLiomL1WBmB/8Kxa29SZy04bv6dZ69gy7OTUlLFz1vVLQ2tVdfNBRBe8n18J4INm++0Avo6IOkT0AICHAfzBzW5fixYtWkxDG6vqePD3iOj10AvDZwB8GwAw84eI6N8C+DC05dZ3zrKogilk3sx1dmXir3YnxFzMJ2Us+kpUKah5UFe3lTL8MOwWYWfVK5iJ9KqhGqfIb2fd77q2c815/v5p/iKzfElmoSlG1yzMim00L5ZFfjTdb10fzSP9LDpW+dKfwmQMMecPwQRZaZ+lr2ZZrJVxw0L47yEwxTejuoPLMO4CYd5639/Dnd7cvAPjdpwU5sGxTRzM/E1Tjv1tAH97sfLggt3Ngn1HZUXUDQZfDs0MD/p6LOO9mkVN+R+2f3zauGgnDhuDKEipi5CuqGJaXK3qoWkUW8HNVNosy6Umj+GD9PdhuG9Gcz8tS4fTZEm07DHLTUgoUypb09uhMb5PFbvAfomc1Dk0NWnSTNo7RnCTUTX2VbC4qUw8Ok+O3i6gLbrso6xSKUehwr6THQCPU+Jo0aJFi5ctmIGitap6ecPO/lWrDB8KYQbASHixi5xtenm+XY03KfyWgUXoEn/l5bZd40oLIPZWZoUqQz8r5jJUCOtVmr1dSQQIfVToyoKwIlXaqc7aZZ57rKMbbJ3VuEJ1lEydpBFINc3NmLhu2j4fdc5odZgmpc3CIv4mi0QRdmUu0BbFgDLSuxSEWJKjgXzqrFA8lSKuSpt1kgIAsGIUVJ4HlP0hJcEkiYQUApLI+1ZL6SctGJnSZQGT1llHg8WSvd1OuG0mDkFAx4TVbloD5AU7kRYAioIdPVOdCwrFEMZ+UFLFgqPGQqTuBT0Ij97UdoFywEgiMaFLcHob78PScYXKfBW5p6izH3uZKoTBbGfRkCoqKgNAFfNaqlXvrUpXlDtCCtHPCud4eNfumnpqdk6j+2YNLlPNp4PzwvdkXvPj6kJkWfqXg5bgX5crDijbgsv3oUqRTkPVAVDAMz33vy0qvzlAZxG0QRVJ5UCe6b8AJCskpJ9eL+qgSDoYGglATyRl2yJJ7jkvdeHXUlUtWrRo0WJuMKDaiePlDUnAWsQACTCRW90UXliAjAhScW0YjEreGrdaB2DEaJ6iBC1X+bJGMqkucPxFWtPixzeXZ9Yiu7Ve8ZXYaaGQenb2iSwVmgIcZNnLFZAZKcpKHy5HNDR95doFnttKzYeYkdinaYHq7y/AjedVbffrYlPV1V9Xnu1G1XB8XvgKWkHlCl1WRIym8CvV2EzzOIjOwryS2DyYRjn58N9lu7r3n0X5/obtk55llu0zUto2kIoUlJZh8Zgq8qGRPmiUIhIDrJnjLBNw0inbprzQetUyDggGwHemiuP2mTjACiIdmIlDAELbaUgSYKlvsxOR42WBessdO8lEgjzdQKUq7+MpFKNgho11Jqn0wJ1HNLaibl2APatvkUKL3pZyomDQsffB7rqmgYuIIO3sIPRkl3uzgx+CepFPy2/PYQZh189G/1IXW0gKPanImkFo2sBo6ZHGumse0bTJJhgY/UUKA8pLs+qfX6WxqpPHNNTSb1OvmC9uU+O1E+fXlyuoOfaUv/iJBaEX6V4rmBEHXKsCWYv7LDQm9wd8ljFYRGDoCYHqRm27jxkiG4Yj+xGM8jdDx0FEpwD8PID7oV0XvsaEZ6o7V0KHcHqBmf/4UbXp2BwAW7Ro0eJlDWYUuZrr3yHxvQB+nZkfBvDrCNN4V/EXoZPsHSluH4mDCCyT8rdbCShQkZpThM5vbEVVMTlvRmZV1PGKUDX+B374g0yxkw582kGKkLpyDJYtRzEKo5Cu2oMXrBV6gJ7dhwUHkUeDNgsKpAun+K5ITMxckbDICmZzK4vraIqm1aitsw5VCUv3VaW8BklNS06T5ei66i28BE33Gam2tWqpVRofhJKcYniWPfpdyL2LQwqTg3aXpgCTba1rh23LNDQ6qtY8h6bhrO6RNfdpSZ1K0n4egCct1zzCtGBEsSi/L4jymzTsgKtPlHRTobQoWvaPrGmXdG2TcScwGhFGqgloq0NAU1U3RcfxFgCfZ7Z/CsBvAPie6klEdA+APwbtA/eXj7JBt83EoUAYiY4zibQmt/MaUBCzEZm9feavqOhN9Isblu9bjNhghKRy/UGYj0KBApNYJUrrGcUUDAqEcgKwliKy5maINA3gH8sbXuaqJZag8gaqL0K1BFukc9RyXsaT5pWuDDOJNlliSUFzP5/SOU3rQISZcCW84Hx2APOuq7M2A8LBUZJ9bn4DvWGVhPtNrAAVHlNxDACIhE65Oirs4MmuI9nUYWksfxLRTZ+c+A+DeS3B9LmV4zPqt90tzSRq9RNpUS6gSmuscmFk32MCMMxUsIBqMtWd5UQ53XJtkirU7Y6nFzoveHJReUS4i5kvAQAzXyKicw3n/RMAfw3AoWIMzoPbZuJo0aJFi5uNBSSOM0T0mPf7bSa6NwDMiiQ+E0T0xwFcYeZ3EdHnzduog+K2mTgKBWyPCxezps7KqW7x4lZPgiCpXKv6kkFRoYnIuy4S5KQbQK+0MrviZGmsl7SIPM3ax9ZnV2wKDOutIYWho7y4Uv7q2Zc2pr3HBYfWSk0K47qoo3HVmMWs+Kd/NjSVjssU19KBVekgeIZUXgsAGQBRWaLX0W7Ve5psKQInt0hIZ9mjJdHK03PmdwWEOa8rJOIkhjQr62GmKj4wWloCjD9E0LZ6mszdxxyS2SzpbRmL4+q7Rygl4uvDAi/ujgEAJzoR1joSK+YJdD3xijHpqFq+ByHdO80np+pDA0wyAD6UeYZiXjF3DiwwcVxj5jc1ljMlkjgRXSaiC0bauADgSs1pnwXgK0wK7i6AdSL6/5j5G+dt4CK4bSYOhhaVBQFQXEtR1HmAlwMSN2Ysq3ow+xRDZsxqLD1UHQz912qYMRRKp0Nt8qtf5v2swPVhjj1jejjOFWJT4Xo3xl39BGsdPbF1PE9eayXmqCSvbVoXU37YWcFugI6lnvBWqjMCrGVWWZClw2z51iMd0ObA2ims5Lbt/V8ejF29tm8yc2GmNK1j738lllhN9OvYjQQ6UiA2N7MSS5e6tCtFYGJcZ7FmYxoVDGROfxEO/ArNEQGsbspx94Lc2ZK0abQzF61Y7chijH6kdW2RkC7RT9FA57n2zNANzZXydoGJYdpE1GQpBehe2NMvPQaZwtVBiq1hBgDYS0uLqN1OhAtrHUcL6b6sn+D9W/Xp0ypcjK6a61DZV6WQ/G+kicpdFMyMoqhbDi4dbwfwzQB+xPz9pZq2fB+A7wMAI3H81aOaNIDWqqpFixYtDgxW8/07JH4EwBcR0ccAfJH5DSK6m4jecejSD4DbRuIAwhg+pejKE7SLoyQ4dHKbZVlkV6+Zd1wZZzW7wvHpJgC4up/iI9d05t3nt4ZY7UZY7+huvzZI8YnNfX3s+j5ubI+QjfWqjRUjNufddXYFn/bAKbz6Lq3zOrMS40RHr+Qu7elVfccE1trPCty1qle8l/dSjAuFS4Y+GHiOVP0kQqYULq51AQBrnchJA7tpgY9d3cOJFV3HuX4HD2z0AADrXYkPXt7Dia4+lhUKnUjgJVPHS3tjR0lt72eQgjA0K9HdcY7X37sBQK/c3/vcNq4bqeRUv4O1rr7fXiKDflrtRDhp6juzkqCfCHSMyJFI4WKKleFjjMKfSkmImWot1wJ4kookb1VehE59UjGIrAQiAkMMUWTOiq8jIkgj0eXG8bRupV8Xf8vSe8CkA57bj2bDhCqqIfWB5lVjIInDvtO6klHBeGlP39/zO2Ns7qe4PtC/V7sREvMwBBH20gIrsXR15qLsp6ltnXUv5m/V9yaUXCzVNdk5y2KqmG+O5zgzbwL4gpr9LwL4spr9vwFteXVkuK0mDkAPHgQGe5OIj1Qx2HOkEw3+4NrjXG+PcoVxUWBkaIdYCPdBdI35rvXWHmQFnjCTwc4ow4vbI/fRpbnC81tD9/vcWgd7o8zVeffZPlbNALm5N8a2+UDTXOETm/u4eEIP3lmhsD3Sk8Cz26PK/QPPbQ91uwvVGPbZTiIfuLQDABimhTv3xjDDMM2RmvvNFeP0qjaL9Ckyi14sMTSOW1IQ1syALwWFgehyhf/++GUAwH5aYH+UY81MTr2kCMpIpMBKIs0x6Sax9U6Ek73Y0VprnZLiSiQFNF41bH5gjsvslF51C8KqPshaQ2WKDZXDXh16OxKERMYQhX6mxAqRMfmWUfNwWNYz+S76CxL927fEC8mfRWJHAfVOp7YV/iIsLRgfv6Hfs2e2htg1C4Gt/RTX91Lsm98bKzES6+S3yohlOVn7z8kGKqzqrYK2eH3hJjoqry3PM+0051Vp4nDSnd0ni6KNVdWiRYsWLeYHtxPHyx6DNMfvPbeNXizRjYSjIcZ5gX2jzBvnBTLFEytbQCt/RcUfwoq7kvRK89KOXnXdf2rFHXvd+VV8bHOIF8yxrf3UXZ/myv3T9Sts9GK3It5PC5zoaVopiSQ298Z44RM3AADbm/tIjDJ8deUEEinc6vNDL+26Fbhtv6VkRopdfYXZtlTROC8lkEJp/4fAcdAck4KQRBLSc5C0x2x9iaFgCsVIPW6uUIwbRllaJ52cMpJLLy2QRAJ7RnLaNJSbxenVDi5saBptb5Tj6o4+/nw+nHB47BnJ5OxaB+dXOzizovt0rSMRm3uIpF7F+rTWLMoikES85WoQV4vK8PuAsciS+tkQlwmR7HXKo8N8VOnUoOqG9tkQ5+z/Rkh71VkeAWYV71uyoXxeiRTufcpyxrVh7lkKltLq3ijHflq45785SN33M0wLpLnC3lifu9qJAuOH2IRr1+0u77i0HPT2ubDqBAEKJJCqb459FTOlsJ8V2DXU735WuL63NOvhwbVU2J2A22jiKPD7z2zh9GqCe072cMLQJdvj8qW/sNbBKFd4z3M3AACnVhM3yEpB2OjFjlePpcAVw79/4NIucsXoGDH8iXwPd5/Qg9r7XtrDRy7vunYUioOBOi3KiQMAhlk5WSUefZFEQtM6Wanj2DaUV9KLcWGjh49d2QOguWSnR0izoM5988ECxuJJMYbmQ99PCzdQ51kRhEKQkUBk6LckEhOTShOqeZULxa7caqwpIQhUCWZnB/0qpXbpxhDPX9937flDD50GAJxNJJ6+MsDzW/rYjd0xxiY9nRCE8+f6eMTogs5vdB1ttppEWEtkQHH5k0o1+2ETCDaYoeHrwbBhlqy+QXpxw+ywbgf4Jupwmrlwk47Dv7Z6zFpx1Zm86mvKbTtp2Mns6n6OD18duHIAOP0XoPVjAJB29fu1aXQce6OspGULpRdKZoFzYiXGXqyfUyeSiCU5Sz1BhNibfeu8ze15UtQHuSwUY1woRyePcwXF7Oq4PsrcM74ySLEMMAOqTeTUokWLFi0WQRtW/TaAteCxlkp2n8VzZgVr9126ESqWXxIVRbO3OvbLSXOFZ0wdaa5XVlYkT/MioKZSjx6y5VhJw4/Ae2Mvxf5eiqFRiI/2U0grmXQkerF05Qw9yWE/1Uplq2TfHeVO+kjTAqpQSI24nmeFWyGl4yL4rRQ7BW7ciZB0pJNAfChmsOIJbtd+QMzszA/rgrvZOqJYIOnFSC3llshAAvP7v1CM//Wxa27/OC2c5NLpROgYqeKFp7cw2Bnh8lX9bPprCc6ta2rs7FoXp1cTnDFU2YluSZ2sJRKdSDhDB0uJ+PnYLSxVYqkcG+IG0KtzHeLeP78ZoXLap8Im/R3qpAVHL/nK8hqKCphUDAd0G4AsVxgYO41hrnBtX//oGFrJOlxKgqOYVrsRhmkRUK/2Ha2++2musOcZOySRCGgpK2WIGrGrLtSOa7u9X6UtJE8Yy7yPb2qJadN8T3vjPPiel4U2A+DLHJEknF5Nanl1f+D2Ya12muDTLz7Gnt5ib5xjd5S5gXw0zGoHagCIYonIq1MpLgduZuRpgZERo4tcYeNsHwBw/vQKhlkR3IfV0wzTHDf2M+yb+tNxjtzodPKsQJ4W7rcy4rvdLgqFbKQnS5WlUHlqjpmgkCYCoogSiDgJ9lmwKiCiBDKK3D0KbwJgj35L9wcoxkNXTvfESfTXu+Y64a6LYgmVK3edUuz6TUoRWCgVucLFuzU11elFyDOFodGXFIXC2Ezou6McV3cj9MxksdGLnZ7oxEocOCCuGD2ZNXHuRqUzYt2kYi2AnOm3eV0srWXh8/a+jsHqPvysjL5DZcFlNALF7JwmtQNn6WT44at7AaV0/8kVnOt7gT8NrH7HTylsHVABYGuYYZwX7tjQu1anECgnA1+HVl0k7XoWg2mh0Ev1M4wqC6g6WtT/3bSdRALXzcQwTAtjDVjqL3uxdCbea91o6RMH8+QC6k7BsU0cRPTzAD7J/NwAcIOZX09E90OHBf6oOfZ7zPztN7+FLVq0aDEdLVV1k8HMX2u3iegfAtj2Dj/FzK9fpLwsZ+cjoVc+hpLJlVtZTTiAKQ5WH9XfvnUSUK5UUi/Gfp7pFX1qLIlGgwypWeXKSEBKEUgZfogC8uJcCSIoz9Tm9IU1rBqrol0jTdjVsm5DqQwfpoWrMxsXyMZWAa60BGJWYRNhLDxpiFXhJI10sI0iHYJNH5IQgfRBUrrfMkogkx64twoAUCqByLw+zXNkA/1o0/1tqMxIM1JC5SmK/CwAIOlEjn4iQVC5QteslpNehMTQUUSEuCPxqntOuDo+8NR1UzeDhEebeZTa7n5maBVd/5VIeA6HUbA6Xe1GWO1GWDP93Ysl1swztJSWVazb0C26baH/garYQwmQU94CZbiZp6/vB+f5oVkGmaYl7Up6tRvhY5e1kUSaa6s8S8eteqvqQjHe/9JOreRtpQTrf5EWCpLI3f+p1QSrHfuuGenGlKsUY2Akwas7Y1zZHeNEr/Q98utPc+WkjkKVkok1vkh8hfgUKcDPDmh9gwDtb/Sxl3ZdmRsrsftGTveTgPosFLv7bTJQOAhYFbNPug1x7FQVaaL3awB8/mHKGecFPnFtoCeKrChzUXgviRDUuEJQhRbB7XVFoQL+3+fu87RwEwArfV0dN0ueFZEtkxQ1OoOtrHewdlI7+TEz8tTEsUKGNFdIotLz2778ubnfgJ7KrB5DTxqqJp5OXT/4HwEr5SaSIkvdMRISUaeHqNsPrqn7gFSeIk+HbrJQeeomnCheDWgvEuR0KjISyKnwylEYKz0AbZzt48Fzq3jcWMYVHqWln2/obOffZ52uSkP3q+1Ta3227XHy1tpuJdb6ptijsSylFUvSJs9mgr62nznu/tp+pmkf09a9Uci5Vy3Tqnoyd93lzFFTUhB6STkg+6gOsv79Vf8O0wLDNMf1gbE68iaDtW6EXlLq17b3M1wxUQKuGBP0V5zpu3Nt29JcBSHXfbh6VUkroag/x1JOgI48sDfKnG5SCk1PA3ryX+1Ejn7OFWN/P3P9lubF0icO5vIbudNwK8Sq+hwAl5n5Y96+B4joPUT0m0T0OU0XEtFbiegxInos3btx5A1t0aJFCwcGuCjm+ne74Ugljmkx5pn5l8z21wP4We/YJQD3MfMmEb0RwH8kotcw8061EBPP/m0AsHrPJ/HO9thJCr4S2K46rVRhJQkSFCi31BRlV5ErZGOzAh8Py9V4OgQJibivqROZ9NyKN08L5N5SSgiC8P0lOhLShueIRGBl42/nqUKeKlibr8Be3yi5LR0VUlUF8nTsVvxB36kioKdYFSi8bZ+eIjmpEC/SUVlO5cPwpRD9z6fElOvDTEgIG0k2PhFYcYlI2PxXyLPyGWbjHB96+nr5THPlaDrbx/YZ5l7+av1MSsutTiSQREbCsatzDlf8dfRJwdo3aG88Kf3Z2FzTFLtV/xX/mE+N2vM6kUAkyK2kVzuRc7iTpPf7FKqFtfaz52qHvNK/yO4DgOEoRzrKXT/mFQnGl9SZGUVe9q/KFZ4y562sd/CKB04CAB59xUkkkcDzW8OgT3Xb6iSkUlGeRMJRZb4D7ZWdESJBuOfUiutD3+Kq4NCnxPdpyr1xYHmWUNxSVUeBaTHmAYCIIgB/EsAbvWvGAMZm+11E9BSAR6ATsE+rC9k4R1Fo/YPVF9iBFSgtiYLrfFE+z4MXwQ2cFUsiESduMLXH7OCcD/cm6BunD0h6iHqr6PQ6rj3WAktG5Mxv9TXhoMWKPXqs1E/YScMOkkU6RD7UHHg22kMxHtbe00T/Vc4RUVIO6ug3fiAqz5CPBlDK0kWyQkGV23Yi8beD36wHne5KgijxJlLBgX3piY0uPvYBHfNq96VnMdq+qk+LEqyefwArJ9YBaLNi2y95VmA0yAJz4NiLqVW11ulEwg2wl17cded2+3GgG+oZKgfQVnra497j5M092DLrLInsoGoHOWtiDehBtlDsJrkkEk43sJJIPXg2eP8Xip2Ztj+pAIaespZ4oxyjQeocKbNxOYmoPA2ePRdFsJAg73mn4xy7ZqL40HsuoX+igxOn9SC/vtZxA/5apxPQaP4EZ/Uv1vlzb798ZnZS8SmnKu3m94WlcQGgyLk0VV6WjoPbieO48IUAPsLMz9sdRHQWwHVmLojoQQAPA3j6uBrYokWLFk1oJ47jwdchpKkA4M0AfoiIcmiV2bcz8/WZJbHnnOZn6xMEiTLUc9XHwK4eVaHCFXCFfvFXWVyU56lc+z9kZpXvWyPp+oVbuctOTyuMh+Xv0jopgpDCKdl9xbq1DrISR55mzh8iH+05yULXP0I+9i3vy7bLKIGItNJTRIleLcrSWspCVKQS5fWL9fdQeebu31eeK8D5fIiKxOavTkUUg4R0klq6XxrVsdpA0osD6spKhlee30E6zDDevaHv11NOZvs72Hr6fdhJjG9IbxVRoo0NZNJzFmH2Pop06MrwlZy2ndJKXN1VJH3tK5L0YnR6kZNARvsSu3Hpf5IYKQAoJRAASAqBNBeBlFGlxgoVSgX2mLX6AkJJpapUB0rJYnecT0gZvnVhodgZTTi605POXN94tGwVtp/cM40TqLx8ZulwiK2Xbrjf7zd/lXlffIncvjMy6aHTi9Ht6/dUO6OaMEAdiTwPDR/st17kqjbvhS9l2HdoWb4XzHzHKsePdeJg5m+p2fcLAH7hIOVZKqrIw5ekKRAZidLCSQiCkD33ollrKb1t9AGedZDTceRp48dV5fhtGe4jGXmDtRnI61CldYo8rbQlK533VEklCEM5keGPq458ckadeTB4ZEFbiszXh5QffpT0IM3ALeJkgrbyqSmVpa6tUdKD7PTMedocN/OeYXXS9J0UZdJz28E9FOU9KFVMvV+/bbZf/f7OR3phMIoSyE4PcVfTLsIzt7bOiZE3kdgJJkqMaXaNRZ3VafgTjg2v34tlYJ1UpaX8SSP39Ajb+2ngyS0FuVhr9reLGxZp2s4feJXquT4EypW1ylNHS1YhhAyOiWChkAQLCBEnweLMHmNVIM8ExkMzwebsdHZSiglLxYk20OTCS5dbjgnLC0zIjX1xu+O4JY4WLVq0eHmi1XG8/KEUYzzMnVVV1c9Cb4fKagABNeSDBDlbZatPdyt5hKsnGSXliqyq8C3C3760kiOkcXz4Eobf9rJ95XVxvxeu5hqU03Ww5ebp0NFdKs8CKyuVpY31Rx0tYUTGATBKehNSRlN9stNzVFLUW0Xc1ZJK3IkQxRIyKp9JNiqjBufD0hrMlwz8Vas9Zlw0UIyHyP3nHicBPVcnjdT1HasC+XAvCJ3iUzX6fSjDr8QezRIl0hlA6PAzRukrBRITLwtAoGCfhmqiLF/6WO3GSCLp6K+qZAKUlns6Mi9BGKeT2HPGzOMTE9QVedK2/55OMEVREtj7+3SUH37HDyMjJAVRlP3vUkyJWeWsKC1jkJXfPxDSWktI5arLQavjeNmjyHPsXNua4E+rAzAQDrp28PD5/nngi+C2HgAQFUqJRag3qbZl2ovnD2wky7b6FIA/cPntqit7kn4q6TWVZyWtU+nDapvi3qpzAIx6q8GgO2vwtWVGCGkmmfTCQTUuKSBBhI6hblY3usizvlsYZCPfaz6kDasWQVUapdrGaX1ataKbB8qj2Mh60ye2TIK0uU9rinTWQqTpKJ8IrepGbNh8P4ZaVb9Rha8LJAFESRljzKcGdcwwhTzVloB5tuaOab1CqP+yICndBAHo8t22ebb2eZMgb3sy0GG58LPmwKVFofK2fYq6KNSEDrM04V6SXoL5tvTRmAe3zcTRokWLFjcbrcTxcodSzoeCVRGsLpskDgAQNdY0defNWmnWnetLDPNcN8/+OjRJMUU6RJ4O3arIX2lZpX2VVqtrP6vC0Qxxt29opVV3zkS/TZHcbB1O0pMlvVQUxnHSCyECAMKjNYQkdPtxYHHWtCL1I/Mqxc4B1C/bohqaRvdDebyajMrWLyikVYQgd66MCEKWOceTih9HNQaThY7rZKIvGwW4T0f5UoUfciXPvO007MMq6qhZXwJIDN2mYkbcCRXL81gn2T4KIgJX+qkOqtDPyXeA9S2jfBq6MNIQUBrG+BKHlYj08bT2OzgU7uCQI7fPxEFCB9szE4eYMnHMC587P6qVxSLUVd15dpIs9ROhqSxQUjS+WD1tMpWG/7fWUdqKyOgwetUYU5OTxITDZM0goQcBz3JpXDoujg015NOIbhIxfHhAc0QlzRHFnh4hkeitGV7dWOTUeXXbgdv+rrNgmgz7PV+AvjBWlGrYzxM0k6OqcgVlaBgAgdmsb0UIhJZDbuB2/eb3EwV6BSIKKKJpVkt1qIsLxwrBQB44sGaTE49fZ9Uayt+2CwBbX7UMd/+k77cwOi4RJWBhvucFKOlp0DqONgNgixYtWrSYF61V1csfROToFKB+5T6PImueF2GWlLDIy1Q9t84uvC4CrfL8KKwVFGAU8p7tfdVQoAm+lGAtaOy+uLeKvKulAbnfM74aWqltfUN8R0ZHSVBoITOJOFBe5uk4aI+1ThLe6thKDj782ErZqPASQgnIYalw7/QiwFg5nViJXfynXhIhkSKQQOqiurr6aiLO+tu+8to/ZiULIIzBlDvJwfZFSLf5K3ffOsjCWp8RlQ6kIhIBjebHQrPShf+cfPgSYl18pyC+myqjRlfP80GCIMx5qia0ahj6RwUWUNUw+YonJawygnUo/cwTbucwaCeOlzuIAkpp3pdkwkN8ilVSY9UVKmtWGY1xnxaxuDKTJBdFoEuJFqivyQKqakHke1FXvYWr5Rf5pLlz3QBl97sJIdKpZN1xCiccn46yE1Id/IFVFYw8M5kZBxn2bpQD1KXgvidpHRuQstoWp9uYUr+Pqh6gGlSzbn91YA6u96MiUNiWac5xuhxz7YzXuq4t87R1VntDB0NurGdaX1Qnpln1V020/X2HBrcOgC1atGjRYgEwc23k6TsBt93EUbfCmHasSVHGRTHV4mmacrkJsySYZQvSTQ5sy0BAf+UzTr7FsYjFnNs3h4J13pXttPNmGRpMWEdNoZ0OiiZl9WExT5TaaSHQF2nL0Ri4tDqOlz1UnmJ/84XjbkaLFi3uILQTR4sWLVq0mB93sFUVLS8b1vGCiK4CGAC4dtxtqeAM2jbNi1uxXW2b5sPLrU2vYOazhymciP6LqWMeXGPmLzlMfbcSbpuJAwCI6DFmftNxt8NH26b5cSu2q23TfGjbdGehxqK6RYsWLVq0aEY7cbRo0aJFi4Vwu00cbzvuBtSgbdP8uBXb1bZpPrRtuoNwW+k4WrRo0aLF0eN2kzhatGjRosURo504WrRo0aLFQrgtJg4i+hIi+igRPUlE33vMbXmGiD5ARO8losfMvlNE9KtE9DHz9+QRt+EniegKEX3Q29fYBiL6PtN3HyWiL76JbfpBInrB9NV7iejLbnKb7iWi/0FEjxPRh4joL5r9x9ZXU9p0bH1FRF0i+gMiep9p0980+4/7nWpq17G+V3cEmPll/Q86xNNTAB6Ezuj8PgCvPsb2PAPgTGXf3wPwvWb7ewH83SNuw5sBPArgg7PaAODVps86AB4wfSlvUpt+EMBfrTn3ZrXpAoBHzfYagCdM3cfWV1PadGx9BYAArJrtGMDvA/hDt8A71dSuY32v7oR/t4PE8ekAnmTmp5k5BfBzAN5yzG2q4i0Afsps/xSAP3GUlTHzbwG4Pmcb3gLg55h5zMwfB/AkdJ/ejDY14Wa16RIzv9ts7wJ4HMBFHGNfTWlTE25Gm5iZ98zP2PxjHP871dSuJtyUdt0JuB0mjosAnvN+P4/pH9pRgwH8NyJ6FxG91ey7i5kvAXpgAHDuGNrV1Ibj7r/vIqL3GyrLUh03vU1EdD+AN0CvWm+Jvqq0CTjGviIiSUTvBXAFwK8y8y3RTw3tAm6R9+p2xe0wcdTFjT5OG+PPYuZHAXwpgO8kojcfY1vmwXH2348BeAjA66FzK/3D42gTEa0C+AUAf4mZd6adWrPvSNpV06Zj7StmLpj59QDuAfDpRPQpU06/af3U0K5b4r26nXE7TBzPA7jX+30PgBePqS1g5hfN3ysAfhFaFL5MRBcAwPy9cgxNa2rDsfUfM182H74C8BMoaYOb1iYiiqEH6J9m5v9gdh9rX9W16VboK9OOGwB+A8CX4BZ6p/x23Sp9dTvjdpg43gngYSJ6gIgSAF8H4O3H0RAi6hPRmt0G8EcBfNC055vNad8M4JeOoXlNbXg7gK8jog4RPQDgYQB/cDMaZAcdg6+E7qub1iYiIgD/CsDjzPyPvEPH1ldNbTrOviKis0S0YbZ7AL4QwEdwzO9UU7uO+726I3Dc2vll/APwZdDWJ08B+IFjbMeD0FYb7wPwIdsWAKcB/DqAj5m/p464HT8LLaJn0Kusb53WBgA/YPruowC+9Ca26d8A+ACA90N/1Bducps+G5qqeD+A95p/X3acfTWlTcfWVwBeC+A9pu4PAvgbs97rm/T8mtp1rO/VnfCvDTnSokWLFi0Wwu1AVbVo0aJFi5uIduJo0aJFixYLoZ04WrRo0aLFQmgnjhYtWrRosRDaiaNFixYtWiyEduJo0aJFixYLoZ047iAQ0d7ssxYu8yvIhLInoj9BRK8+QBm/QURvWvD8jxLRV9Qcu5+80O23O4jo+73tngkjnhLRmeNsV4vbG+3E0eJQYOa3M/OPmJ9/Ajp09c3ANzDzkUYIICJ5lOUvCW7iYOYh67hNbRiNFkeKduK4A0Eaf5+IPkg66dTXmv2fZ1bz/56IPkJEP21CYICIvszs+20i+qdE9Mtm/7cQ0T8joj8M4CsA/H2z6n3IlySI6AwRPWO2e0T0cyZ66c8D6Hlt+6NE9LtE9G4i+ncm2N+s+3kj6WQ+vwvgO7390tznO01d32b2CyL656ST//wyEb2DiL7KHHuGiP4GEf02gK9uao+p8zdJR0H+r17Mpr9ARB829f3clDb3SUdufScRvYeI3mL2309E/9PU927TryCiC0T0W6ZvP0hEn0NEPwLAShk/PdfDb9FiGThu1/X23837B2DP/P3fAPwqdBKsuwA8C51A6PMAbEMHfxMAfhc6BEYXOhz1A+b6nwXwy2b7WwD8M7P9/wL4Kq++3wDwJrN9BsAzZvsvA/hJs/1aADmAN5lzfgtA3xz7HpgwEpX7cOWa3+8H8Llm++/DJIsC8FYAf91sdwA8Bp3A56sAvMPc43kAW7bd0Im4/prX5on2QOd9+B0AZ83+r/Xu50UAHbO9MeVZ/B0A32jPgw6Z0wewAqBr9j8M4DGz/VdQhrCRANb8Z1op+xlUkom1/9p/y/wXocWdiM8G8LPMXEBHOP1NAJ8GYAfAH/D/v70zCq26juL451soIoM9xOipkoopLLWyh5Yjeupl4MsGISKyBwWT0Yv6FgR7EoVRZGFKRCsqItqDD47A1XQxUXSbGEkQPgRphRAtTJqdHs754+3yv3f7E/Pidj5P/3t+v/u753e5/M7/nPO/55j9BCDvc7AOmAN+NG9+A2449tQvWoEXgbcAzGxW0mzIn8dDXZPh6KzGjVdDJLXjB/Q3IRrBS9qDF5ncVHgTQDt+GPcAn5tXT70uabxu2c8W0Gc98BTwVcgfxOtwgRuxjyWNAqNNVH8Z2CZpf7xeAzyKG563JT0N3AE6Y/w88L68cu6omU03WTtJlpQ0HCuTsr4EBbdrru/gv5Fm85sxz91w6Jq6sbIiacKb8Wyv8BlqsFYxNmhmY/8RSr0LrPlnM30kbQSumFl3yXt7ccO4DXhdUpeZzTfQrc/Mrtat/QZwA9iMf3d/gXdQlPd26QVGJB02sw8X2EeSLAmZ41iZTACvRA6gAz/ompWX/h54XN6RDjw0U8YfeJ/sgmvAlrjur5FPADsA5I13NoV8Ctgq6ckYWyupkyaY92H4XVJPiHbUDI8Be+MuHUmd8nL3Z4G+yHU8jIfoymikz1WgQ1J3yFdJ6pL0APCImY0DB/EQVKMczRgwWJNDeibk7cDP4Q3txL0ZJD0G/GJmx/Gy68/G/L+L/SXJvSINx8rkSzykMgOcxmP61xtNNrNbwKvAqUga38BzIfV8ChyIZO8TwBH84P4WzxcUvAu0RYjqIGG0zOxXPGfySYxNARsWsZ8B4Ggkx2/VyE8A3wEX5Y/oHsM9qC/w0u6F7FzZfhrpY97bvh84JGkGL33+An7IfyTpMl7uezgMWxlDeK5kNnQbCvk7wC5JU3iYqvB+XgKmJV3Cc1Rvhvy9WCOT48k9I8uqJ4tCUpuZzcUd8lHgBzMbbpEuXwP7zezC/1ij2M9DuOHa2sx43k/E02vPmdlvrdYlWZ6kx5Eslt2RLL+Ch1OOtVCXm8AHKvkDYAVOxn7OAEPLwWgo/gCIezL/tFidZBmTHkeSLCGSBoDX6sSTZravbH6S3A+k4UiSJEkqkaGqJEmSpBJpOJIkSZJKpOFIkiRJKpGGI0mSJKnEv6OAW7n+iDfeAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -3020,7 +1199,7 @@
     }
    ],
    "source": [
-    "(ds_ave_hour.ts - ds_ave_month.ts).plot()"
+    "(ds_ave_month.ts - ds_ave_month_center.ts).plot()"
    ]
   },
   {
@@ -3041,7 +1220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 17,
    "id": "1e36edc2-9d01-4881-963a-830859301123",
    "metadata": {},
    "outputs": [],
@@ -3051,7 +1230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 18,
    "id": "0086e66a-3cd9-4ebe-9d2f-36603d158409",
    "metadata": {},
    "outputs": [
@@ -3061,7 +1240,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3072,17 +1251,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 19,
    "id": "2033f778-7196-482c-95ea-fbf8f7d97e68",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15a2c53a0>"
+       "<matplotlib.collections.QuadMesh at 0x15b9fedf0>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3105,17 +1284,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 20,
    "id": "5a2c01c9-660b-4592-b270-dddad399df78",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15a468790>"
+       "<matplotlib.collections.QuadMesh at 0x15be05a90>"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3146,7 +1325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 21,
    "id": "477b1c69-08df-48c1-8e6b-77b13d707af1",
    "metadata": {},
    "outputs": [],
@@ -3156,7 +1335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 22,
    "id": "8b199df6-0cbe-4b7d-a336-47628726ee34",
    "metadata": {},
    "outputs": [
@@ -3166,7 +1345,7 @@
        "(156, 145, 192)"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3175,6 +1354,39 @@
     "ds_gra_year.ts.shape"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "89a13d86-e4d3-409f-b59a-6aeb685217e5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15bc44910>"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_month.ts[-1]-ds_gra_year.ts[-1]).plot()  # Just checking there are NOT same"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d9583dfb-285f-4bab-8bb7-bea6243af270",
@@ -3185,7 +1397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 23,
    "id": "c478328f-63fd-4a5a-a323-bd3f54c8db24",
    "metadata": {},
    "outputs": [],
@@ -3195,7 +1407,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 24,
    "id": "544c53e0-a676-431a-8a72-84b542ed2874",
    "metadata": {},
    "outputs": [
@@ -3205,7 +1417,7 @@
        "(625, 145, 192)"
       ]
      },
-     "execution_count": 40,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3216,7 +1428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 25,
    "id": "bdf17235-d9eb-450e-b14d-8a11655a9b2e",
    "metadata": {},
    "outputs": [
@@ -3598,7 +1810,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ad2c6412-6e13-4640-b601-8967ddd02873' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad2c6412-6e13-4640-b601-8967ddd02873' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cae7a1e8-5658-469e-a31b-1d5de6f2c398' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cae7a1e8-5658-469e-a31b-1d5de6f2c398' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-dd9d9dcb-71c7-451e-8352-08b9c5af4c61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd9d9dcb-71c7-451e-8352-08b9c5af4c61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b123be7a-f6a6-4fe7-9e82-98e20068b160' class='xr-var-data-in' type='checkbox'><label for='data-b123be7a-f6a6-4fe7-9e82-98e20068b160' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b4f3f93-b701-433c-b259-de184e2674cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b4f3f93-b701-433c-b259-de184e2674cf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-202577aa-5fb8-4055-9509-80f46d4bcf91' class='xr-section-summary-in' type='checkbox'  checked><label for='section-202577aa-5fb8-4055-9509-80f46d4bcf91' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-66ec8cf2-04f1-438f-a1cd-c0f052cb2045' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ec8cf2-04f1-438f-a1cd-c0f052cb2045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b99cebdf-55c7-4f4d-9acb-73e0b21ea0f6' class='xr-var-data-in' type='checkbox'><label for='data-b99cebdf-55c7-4f4d-9acb-73e0b21ea0f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -3614,7 +1826,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-a49feea7-9b71-4c94-9247-e8e95cb09cc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a49feea7-9b71-4c94-9247-e8e95cb09cc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da54234-5084-4ba8-bd8a-04164944986a' class='xr-var-data-in' type='checkbox'><label for='data-4da54234-5084-4ba8-bd8a-04164944986a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-125bb192-f3df-437d-b12d-9c1c586775b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-125bb192-f3df-437d-b12d-9c1c586775b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e96e8a-6f8e-4235-b91f-d957db89d7ef' class='xr-var-data-in' type='checkbox'><label for='data-45e96e8a-6f8e-4235-b91f-d957db89d7ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -3637,22 +1849,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-0cc6a592-838a-449e-92bb-fb13469beb37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cc6a592-838a-449e-92bb-fb13469beb37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c9ee5a6-482e-42e7-b263-06ed10966903' class='xr-var-data-in' type='checkbox'><label for='data-0c9ee5a6-482e-42e7-b263-06ed10966903' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-0fa8ae4b-ef15-4d82-b3a4-e3bd8ade31bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fa8ae4b-ef15-4d82-b3a4-e3bd8ade31bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4517a413-450d-4bd5-ac18-7d80332d4d34' class='xr-var-data-in' type='checkbox'><label for='data-4517a413-450d-4bd5-ac18-7d80332d4d34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-07-01T00:00:00.000000000&#x27;, ..., &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03e87ec9-7901-4c41-a157-6b9f6be42515' class='xr-section-summary-in' type='checkbox'  checked><label for='section-03e87ec9-7901-4c41-a157-6b9f6be42515' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55624613-c4d6-47c3-b0c6-450f672bfc9c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55624613-c4d6-47c3-b0c6-450f672bfc9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4031a1f-755f-41dc-9324-8d9f96b1314b' class='xr-var-data-in' type='checkbox'><label for='data-a4031a1f-755f-41dc-9324-8d9f96b1314b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-196542b0-fb25-4086-8458-a63870a547fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-196542b0-fb25-4086-8458-a63870a547fe' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65b8d531-de1c-4060-b6bf-31a8d082ecbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65b8d531-de1c-4060-b6bf-31a8d082ecbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1daf2ef4-1d3d-4b4c-b95f-9d4857eb0222' class='xr-var-data-in' type='checkbox'><label for='data-1daf2ef4-1d3d-4b4c-b95f-9d4857eb0222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-093850b5-c069-4022-9672-fa3c881b7dba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-093850b5-c069-4022-9672-fa3c881b7dba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4f92771-e678-4c18-a656-4c51337452cf' class='xr-var-data-in' type='checkbox'><label for='data-e4f92771-e678-4c18-a656-4c51337452cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56709803-e26d-484e-bba4-fe585641b6c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56709803-e26d-484e-bba4-fe585641b6c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-113a3d03-f058-4f5c-b72c-d2e02c3916d3' class='xr-var-data-in' type='checkbox'><label for='data-113a3d03-f058-4f5c-b72c-d2e02c3916d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-b55bcbb2-4174-49eb-b2c9-0afb06dbad43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b55bcbb2-4174-49eb-b2c9-0afb06dbad43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22f0af62-d21a-480c-87ac-02fa959bf8cf' class='xr-var-data-in' type='checkbox'><label for='data-22f0af62-d21a-480c-87ac-02fa959bf8cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-84f3fb02-7303-4c7b-8e09-2bff447a9291' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84f3fb02-7303-4c7b-8e09-2bff447a9291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da7e49c-ae67-42d8-95e2-cab7408998a8' class='xr-var-data-in' type='checkbox'><label for='data-4da7e49c-ae67-42d8-95e2-cab7408998a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
        "         245.7746 ],\n",
        "        [247.9249 , 247.88907, 247.8376 , ..., 248.02216, 248.00014,\n",
        "         247.9668 ],\n",
@@ -3692,7 +1904,7 @@
        "        [248.89888, 248.90686, 248.92628, ..., 248.76369, 248.80582,\n",
        "         248.8551 ],\n",
        "        [248.21404, 248.21404, 248.21404, ..., 248.21404, 248.21404,\n",
-       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e17addee-a74f-4fbe-a76c-8b116b59215d' class='xr-section-summary-in' type='checkbox'  ><label for='section-e17addee-a74f-4fbe-a76c-8b116b59215d' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42e9eea1-1d98-46b4-be3c-f129de593c4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-42e9eea1-1d98-46b4-be3c-f129de593c4e' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -3722,7 +1934,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3733,7 +1945,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 26,
    "id": "e6f45b58-4a2b-4142-9d4c-49bf2525cb67",
    "metadata": {},
    "outputs": [],
@@ -3744,7 +1956,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 27,
    "id": "1eca45d6-04a4-40c5-9d52-0c0adaebfb59",
    "metadata": {},
    "outputs": [
@@ -3754,7 +1966,7 @@
        "(623, 145, 192)"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3765,7 +1977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 28,
    "id": "466297d4-4276-4a2e-b17c-c6d158624f52",
    "metadata": {},
    "outputs": [
@@ -4147,7 +2359,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8c18770a-2cb8-4b80-9f9c-cafbaf62432a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c18770a-2cb8-4b80-9f9c-cafbaf62432a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61337f62-652e-4392-917b-450effb8a6b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61337f62-652e-4392-917b-450effb8a6b6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-287d1a07-2a77-4701-9030-ba74bab2e11d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-287d1a07-2a77-4701-9030-ba74bab2e11d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b6f7ee0-ccda-4323-a93f-bb70980e9a9d' class='xr-var-data-in' type='checkbox'><label for='data-6b6f7ee0-ccda-4323-a93f-bb70980e9a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f184943b-fc96-4346-b43d-1c1f2c39c902' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f184943b-fc96-4346-b43d-1c1f2c39c902' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c77b3337-22fd-4967-9761-2acc0c39fe23' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c77b3337-22fd-4967-9761-2acc0c39fe23' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-65ca801b-0187-42fd-97f0-ad2ea4aa9767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65ca801b-0187-42fd-97f0-ad2ea4aa9767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e64d2bc-0190-477e-8014-21fe81a2aceb' class='xr-var-data-in' type='checkbox'><label for='data-6e64d2bc-0190-477e-8014-21fe81a2aceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -4163,7 +2375,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ba805ec8-2403-4269-8d2e-0e32d2df2572' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba805ec8-2403-4269-8d2e-0e32d2df2572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc2a43d7-80b1-44b2-a34c-ab3d65305112' class='xr-var-data-in' type='checkbox'><label for='data-fc2a43d7-80b1-44b2-a34c-ab3d65305112' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-435fb709-351b-4a1f-bda3-98bb7ef2b3eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-435fb709-351b-4a1f-bda3-98bb7ef2b3eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed64654b-a023-43dd-b4cd-00d8eaeafbf6' class='xr-var-data-in' type='checkbox'><label for='data-ed64654b-a023-43dd-b4cd-00d8eaeafbf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -4186,22 +2398,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-86bc5a1d-936c-42f2-98fe-08484e4df40f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86bc5a1d-936c-42f2-98fe-08484e4df40f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8ab3192-004a-478b-bc09-d3ad5a627ca5' class='xr-var-data-in' type='checkbox'><label for='data-e8ab3192-004a-478b-bc09-d3ad5a627ca5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-b2dbadd1-9401-4a28-9a12-c296797f9dde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2dbadd1-9401-4a28-9a12-c296797f9dde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-733aa883-1675-415b-b8f1-416d55198372' class='xr-var-data-in' type='checkbox'><label for='data-733aa883-1675-415b-b8f1-416d55198372' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-10-01T00:00:00.000000000&#x27;, ..., &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6991bbff-cf05-4696-9890-e2ce62fa47bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6991bbff-cf05-4696-9890-e2ce62fa47bb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a17b418a-60af-4a9d-b3ff-8670564ccdfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a17b418a-60af-4a9d-b3ff-8670564ccdfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6803dd9-2a4a-4356-8265-2ed22a7bf05f' class='xr-var-data-in' type='checkbox'><label for='data-b6803dd9-2a4a-4356-8265-2ed22a7bf05f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3c9ed9b-160a-4016-8b07-f2898ebe8c71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3c9ed9b-160a-4016-8b07-f2898ebe8c71' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddef6e41-1664-4996-b6a8-4416d7e60842' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddef6e41-1664-4996-b6a8-4416d7e60842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ff2d28-91f2-4ba7-93bc-178e681a5465' class='xr-var-data-in' type='checkbox'><label for='data-34ff2d28-91f2-4ba7-93bc-178e681a5465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-794e7275-317b-4f4d-8097-8da3a0f9d176' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-794e7275-317b-4f4d-8097-8da3a0f9d176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-253b6ff2-26d3-4f41-9f80-a8ce57dc2af7' class='xr-var-data-in' type='checkbox'><label for='data-253b6ff2-26d3-4f41-9f80-a8ce57dc2af7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dcddf087-2f09-41bc-a07b-db0253a4c4ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dcddf087-2f09-41bc-a07b-db0253a4c4ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17514c9d-d6d9-4721-b115-c981fae66951' class='xr-var-data-in' type='checkbox'><label for='data-17514c9d-d6d9-4721-b115-c981fae66951' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-960ad18f-53a8-408b-bfa0-81d454b3f648' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-960ad18f-53a8-408b-bfa0-81d454b3f648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca87a162-8e54-4fe0-bddd-f8a4c64554b0' class='xr-var-data-in' type='checkbox'><label for='data-ca87a162-8e54-4fe0-bddd-f8a4c64554b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-f4cd97ce-3e19-415c-994c-29874eb344b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4cd97ce-3e19-415c-994c-29874eb344b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dfc332e-a8a7-416e-a348-f0a0bc20ca2c' class='xr-var-data-in' type='checkbox'><label for='data-8dfc332e-a8a7-416e-a348-f0a0bc20ca2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
        "         216.69006],\n",
        "        [221.2711 , 221.17845, 221.0774 , ..., 221.54146, 221.45746,\n",
        "         221.36563],\n",
@@ -4241,7 +2453,7 @@
        "        [260.9766 , 261.02008, 261.06494, ..., 260.78476, 260.81964,\n",
        "         260.9129 ],\n",
        "        [260.44238, 260.44238, 260.44238, ..., 260.44238, 260.44238,\n",
-       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36c0ebef-71b4-47b8-b0bd-a25816eee764' class='xr-section-summary-in' type='checkbox'  ><label for='section-36c0ebef-71b4-47b8-b0bd-a25816eee764' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2bf3ff7b-d094-45be-81ea-82fe8e11fb0b' class='xr-section-summary-in' type='checkbox'  ><label for='section-2bf3ff7b-d094-45be-81ea-82fe8e11fb0b' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -4271,7 +2483,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4280,6 +2492,39 @@
     "ds_gra_season2"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "a696b1c5-5a02-4e2e-80aa-66ba4f2f7a50",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15bc44c10>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Cx7iorbY+ypOgP9t5gkQ468G3EKaVq+HVlG8SX1OXeld+ktqlcYkL21Pbt+m0wnRcodQUIQnCQFMtSUoYjjKbV7MW9aUt+slYhmFUlRurzd0Cpy/sAlCa/4a2OI+t5rjvxGpQfsOMscnZ8elDQxbVkrE+TG2kVJ4Ka30eXskw1tab2fbUhbF1at96eGhzg05fHCuqVPvG81RYS8o4+gttZUnJePjCDgBYC8NYykXNGCbOovDLwOTebKrKkFT2uDwqH1NKxlQ7uE9fnuKIvi/qmoGJdNThSpbY4JLRwLWzzNyIJUVDnQBQMvMlIhoB+EoA/xLAuwB8K4Af1X9/7YpPdgW4LoQFgK8B8GFmfhYAzF8AIKKfAfDrixogcuatakP9lQwwuX0Es43Zm12jYu8d95qz8KezhIDPb6o37WPPbOH+Y6s24mm3rHFWT/KSGYNU4OhITRLbRWUnuFt11rWZKM/tlris/QrPbU0w9aJzxkUNli4ChplR623szeMkFI+d6Akk9bN5U4HVQwOQFRaMi5sT71hCOa3tOaqyRq6jZPJhGtREkpKReEl6Pr3i93XbozeMsIi/mzFopsJcIpoRjiwZde0u2qcdWTJqTagzM6bjEtOxmpAnO8UM5+9f02htgLXDQwDApUOFpYFW8iSIDItpIEU9OarL+kSKGlVZ2wivSwCexo4973CUWf/N4ZXctrE1qbDileX//OnLgYC7kCUY6Izm1dXcjuHnnmPsTioUet9CX7ehd+6/9whefEr5L/JEoBDS+rG2Jmyfw7VhhrUqDRSETD9PT2yOcXJ1YCOdMuGEfyIoULCYXaTSTlmjlBKHtRBIBVm/BAlGIRlb+tlbyURQxHBzWmFbR4ZtDFIcGWU2ujH1wr2X5LJYmoMbwCkAP6f9FgLALzHzrxPR+wH8EhF9J4AnAPyVpZxtn7hehMW3wKOgiOiUcewA+AYAD12TXvXo0aPHHCzDsmDmjwN4dcPv56F8udcFrrmwIKIVAF8F4Lu8n3+MiB6EYoIej7Z1gm8l2IgnYDY0ytunqNlqnr5WKBlBEpFtS7cXa7p+hJVkFSUCAC8/uY5SShtNcnFSovSoiGEirLPwwk5hNcHndosgtt+nc5rgWwlVJZ1l4VkZStuX7cdJt6+spdV6q1IqLTiim3amyvLY3SKkWttNNV1htPJqkARWThwckOqcl6lkTARZzb8q68BCmFdSu66ltVZEKmwfACAfJCimXqKhVnuzQYLhSmaticsXBMppjWyQ6ONSbJ5XFBEJAgnC9iV1vZvnd/Gsbme4mmEwypDr+zuv6qyxyAC16JCUHPRnou+vEISdqsBEO3kvbYW5ErsTgfUVj4oxDvSpat+co5jWyPX1qKgpRqUtG7OPsSQ/98QmHjt9GQCwsparSslTsw+spTgYpDh5aIANbQ3nqbBO+jPbU9QMnLK1yCSK2ji4E6Sps/5LyTb34cK4xHqeWpozYAugqKahfk4G7CyL3bLGtKpx+7qy+G5dyzFKqbGkyLJARHYsng+45sKCmXcBHIt++xv7ba8h98qFw5L7DdBhkJoSqiTjyc0pNrVpfmSY4aI2ve85PMJaLmx0js+xmocxqFEE0756uE2NqVvX8iDyw+dbpVQr0+1O9MtdyZnQ1yBE01I7ivuHR/UYmDbMJFBOKzvpT8cl6krahz3NEjuxJinZ/pi+VTp7vZxWMxRNNkiR60kiaajSZiawncvTGSEjzMTjjYVJupvoqLHJTmnPWVcymIRTbw0TQYRsmFi6bZglWNVZy2tDRZeIRN1fZrbXayiebT02K+sDnD7zDIqtC2pf6a6XRAKR5kgGo+A7AEx2C2SD1I6BoYDUfo7S88cEcJMOe+Nv2qjKGkkqUJVs9yVviOtK4pymkdh/BisJlqHAlZUbY8DRTkYArm0M7TYz3rcdHeHJ53bsOZWyIO25L6XC+kVGeYL7j64CADanFT729KZt745DA0snqZpOLqqJ2UVEDVOBYebqiaXCPfeVVCsr+o+QoXQnlcQ9h1dwZKQFvDhYQQEAIAQhyDc7rrmw6NGjR48bEQSAllXC9gbATS8sfPrIEC+mBs5TlwtrPRjLwDjantwc28/b0wqTWlpt576jK1jX2tTGQNWiMs7yzWmNNW0m71QqaehJ7RwepgKTSlon3LSS+P2HVchvIggvu/2QNdv9cuWjPJkpMeE7FeOaQz6KSjq6Q3KgfValtPQCUFrt12i2wrNSjEUwHVeoaxlQJkkiXOQUc5CDQkSW/hiuZDZpzKc2AKNp63wUofrmnyP1EilZhgsMGTpFpMI6qQFg+9LYOnFxal1ZZJ5D2NCB68MMRVXjwoUxAODcU5etVWFgrIckH4ESZ00kaWr7wpJRjB09ON6e2jE1VpyxZkiQR9MBgKPPfAtQCEJdu9IVxgow28xYmm1mzOqUtXVh+kYg0qVdPGsTAFYPDfCiOw9bDf7C9hRnNc329IUxiMjm3KSZxGVNyckqwXjk7uGdh0e4/ZAal8Nlio89vYnTm2pMT60NbM6DWXTMrcfO9h1dy1MMExFY75X3bk4qacvlrOaJLUl+23oePHujVFWgdtWG3b3cTyBLIwig3rK4MWFKHwOAbPAvSKh6TYZ62i6qgBMtazeR73rlu83kbLKd/+DxC3ayHuUJ3nj/CRt18dxOiVy/MJ86u4Nf/vBpnNfZr5U3cdu+6Zd7NExx5tI4SPZa1xFGfjly2x+b3BWutDcTvlnWdlIuppWdPAyfbYQACbLbzKSTjxz3bqiHqqyV30HngQ3TDGmWIElppp26UoInG7jwTT+pbjqo7WQuo9A0IQiJPi7Nk2Dy9Pn+clpZoTbZKSBriWJnS52jGOPyGVVF4cmP1zh85wN4yYOnAADH1gb2fq5rispkrL//whiTTVNpBkhHa8hWNgAoSkpkOdLcTJ5JQL2RIEsxsSecTSSW6XeaJY6SS8UMneELApJsQ8GJCUI/3BIIJn2WbL+nmUAFBLSfadPcX/K++8rHKE9xVNN3qSCcvTSxUVZpluCee1Xa0/nNCdaGKU7q9S0evHU9KL7pP4sXJyXWtKBeyRK9RLF5v1zhwPWhwLiSOLOthO6hQWojqgyNdVz7aFR1BENfEVIh7PtsCoiad72U3Brivm8Q9TRUjx49evSYDyIg8QIobnbcNMJCxTy7OHo/pM38Vktg0ytrnCUCW1pjKqUqUW6Oe86r0Gk0JD/JzSVCVfiTpzZxSGvBv/WpZ3F+Wx179vxukNvAHEa9+NTKtKgxLUJrxsDUG7LWQ9PiQCYprnARMObchqYpxpWNRqprCVnJQDMNaCd2Tu3U1xYj60hpsyqO378WdZzWYr1zmLyARBCw4pLbzm9OrAXEtdLEU1sB2ItMqyXqijHZcc7vyY6iTMqdTcjK1TASaY57XvMqdb5E4IlPPIzH/lT18+yhAV7zUlVqZ0PXPjLVW0/ecQgXn7oLO889oa/RXe9w4wiGK3kQBeM7nH2N3YyPGW+W8KLB2I63EATpReL5IKJwX/Icw5KBeuYQ22aaCUDfuySKDDP7AMCdJ5RTektTsqkge5+KSmJtJbPP1+GVDHcfU/uP7jyMe4+t4nZthaxkwlrxa5nAK04dwoeevARAraXt1rRXUU5HtGV3dJhYy3xcSWxPpX2fhqnLs4BgrIrEWg/M7p0sarW2vTDXCwoqTCfUvULxXtDTUDc4yKudzwBKL/rp2Z1QCBhsDFLcc2RoQ/gePrs9U0vIX5bSYLeo8UePnrdrRmxNKrs9zVS5dEf9hE9rVUg70ZgXt/Y4dZt5nXJQvjqmmgapQKpN891UYHeio0fK2k749lg/CsfjuAEXHWMmPEuFeG+ZCYs124ppjbyUVkCsDFMbyhmvyeHXnzqxPkTNrljf9qTCZKe0/c4GKTTFjnzg/AIiEajKKojOmmrKqCrGkGVhBcb6bS/E33rjiwAAR0YZzn/lC/GbH1fpOy+/fQMv1YlngMqU/vQZFS4qJWPjlpOYXFbtrhy7HfmKmiAHw0xz/gjGCtCUlEcpme+Ai1Iz41RMK5sMZxLy/HH2nwsp2YYAsaAgFDqO+IkFDnm+Dpus6fkLAFO4MbECYmtS2dDsWnJQm+vWjRG+7IXHAQAvObGCTJAVAgJuQk4IeOnJVTyjFSezzCoAPFXWOLma47Z1t8TvplYUEiIcHSXY1vf38lTihUfUfubZMde0Oa2tA2J9oKICTcRiLTmoGkVEILv63pJA1Du4e/To0aPHfBD60NkbE6TzKYiC8uKldCtt/en5McraRVNMa2mjj46uZKgl8J7HzgMItXe/GmsMU0J6t6n+ktbUqsiJ7KJnnNbOUjmDzTl3A0pKoDb5FAhLgAOzdZ4MtiUDnmWRZgJ15eL36yhhz6AiCnIZfAskSQTEwDlxZSUx3nb5E7upsLRVPlBWhtFY/RXdAFdKAkCQD2KsGlNCZJAnNhdi00tWM8hWlfNZpDlkVaCcKKf2nS++HX/2rsMAgI1BAmbgi+9WztlHzu/alQDXBinW8gR/+w33qXErKnzm7Dbe8Ruur6Zvg1GK4WqOkS7xcWwtt9dVS4ndorYW6GRc2uivPM1x9/FV6wyuJeP0RRUp9MiTm9i57MqpVEXt8jL0kNn7Uzt6UT1HzXqyECofw1ZVriRe/YpbAQCnNob42JOXcFjXnzq5PsDGShasWlh6luszmxOc0RF947K2QSCrmUAZWY9+pNGRQYJX3boOAPjU2W1smYW2iIIaXzUrKgoALkxq1DVwlw4S8R/rVFBAwx0ZJvZ8ikJ2bIHphtnOzMuzKAwoDDC42XHTCAuCepiMaW4emud2K1yeupXEJpXEVL/A9x9dxYlVNQTTivHZ87u2bn8tOYg+8ovAFV5hu6Kqg9pMPj1kC9vZFehUvaOQx44ikLyXyJy/0tFYbeWv1XkM3eF+r3ViXWFokTzxIodKkPAzsd3qc6Y/NkSTyB6X6KxYI+SUwGGbcezz99kgRV1LrGtO3C8OWDOjrtn6CYpK2hBbkzXs01nn9MQ6HVcYbxdWyA1XchtRlmwcwsaxFfzYX1OVE06s5jix4i05WrMNa77j0NAqDcNUYJAK/NETFwEA7/iDx1CMK2RDL8xWr8h2y4kVnNoY4bC3kpyZZDdGGYpa2mfooac2cclbB2KUJUGp9buPqWJ746LCo7sFqtKr0WSViIhWivwhfrluQe6eQSelDbUv6ctedQqvuM3Rbi87dchy/5enFU6u5pZCevzSLk6uKqF2y2qOr3rBMexqpeOJzQleeFQnJGIW1j/IgCTC3TrRb1JJPH5J3cOTq2olRFNefJQKjPR9uT3T74hJGCS3xK5abc97vzy6GZgVm/7QERGSpYsLss/e8wE3jbDo0aNHj6sJEoDIe2FxQ8KPjrhUuMVmjIa+W9YqYsKUP0498xmMZ7YmQXsml0FVSK3sKm/jorLUQyIEBilbB7NfTrspUS5cdCd80GJncNyOXxY8Xu2r9iJ2zH6mcmutgtrB0iW6GapINpREMEl3Js8izZOZSBqX7KVyB0zNpcpLtKsKZTntau3yxPrQUlKmQqzJbUgEITmsNNaiqvGGB07ga+9XjtRJLfEdP6sWGdu+NEFdS0tRHT6xgss6me4ff/Or8Kpb120p7ER4i1tBrfWc6RLEx1ZSS0+q/BzCc7ru0mS3xGCY2cqyJMhWYV0fpoHDFwBuP6T2KyXjviMreDJT/bnzyAhPa/qmqGRA9fjlXO4+toqnn9ux1pLwndiSgyRIHyQIQrrABMkM4VFUUjK+8GW3AAC+5AXHcIe+D8/tFHhyc4KxbufOjSHu2hjaKLvf+OQz+KTednJ9gD97z1Hcd0Tdm1ffuoZRaixOtU/bdOm/j/ccHtqoqaoGSintomBqBUN1jHl2u7gCfCuD0ZxsZ/q4tES8uP3esrh5UNZuhbmpFhwmLO/Z7QKZUA9wnhD+hzsPY0VPih89vRmE3+569f/V5K0jWXQEhn3IBdmJ3Pweh8PGq8U1IRGO1zX7+cIi/hwvC2rOF9NefjSUX8I7pjukCKNzrM8iDU1vFcqaQqSKhprsIEiYA4ALOgz57mOrOKEnjFPrQ2wXFd7zGbWeyxfffwIXdUTZ6QtjfMNLTtglK6kEfvgbXwEA+MSzW/jiu4463nqU2vtrJh9zhVKyjSxNE5OsZe5NSKPsloxveLni9DdWMnzk85fsto1RFtBOeSrw2tuVnyQTAvceVtdUSpUxfM8RNSk/uTnFnZq+mtZqvRDT72klA7/AS+4+gtPrKjN6PHH1t5oKN1qfF/NMOK4BS1aZ2dpncO+REQ5rWi0ThIvjEtvazyZZTc4m4u7k+sAucXt2a4r/8okz+HtvuFdfv3v2ipoxyoQNbWVmO/bCG2tzb1b012nFKCW5MNtc2BpPMeYVjZwHZlYCooG6XZrgIOpDZ3v06NGjx3wQ5lcWvtlw0wgLa4ZKo2U65+y9h03Z4gEeOrttF2g5uZqH62NvTvDIObXozPmdwi74AqhcBt+y2PUio8aRU7v2LIcmxKvO+fDppaTlc2ytxBaKvy2MvmKrocqa9QJAs9FQgKI4TDJfPkptOQ+h60CZNs1fQ1PlAxlouEkqUGgt9dThId6oqaXVVEXSfNk9Kjop9yK6iMJSDkXNeO+jKkrtG195CnnikiczQcg7aJ+1VFqxG0ayi2JJZqxkBGNr/MUXn8QX3L5htdonNic4oynKOw4N8ZpT69YhW3ul1hNBUKvXqOMeODbCczvq2k0EkbGCdr0oNUGE5Hbn8PbXvD59YYwzm2PrKK9riapw96yYVu6eRrka00mJTz2tckded9uGtSwOD1WU0qaucDyta534qY67dWOIPHWBHrVkXJqYIBHg0YvKAro4LvG19x+zY+obBxLhQmMJOUtjPSdk3j0sI1XfWDoxzKJJMf3kw9KOrLZVDe/F0qrRUl9I8MYEqwcjfhDuPJTZhzgTjFNrA7uGhL9rUTOeujyxYY+jzE+Oq6ygsPt732tv0o0hBIWr0HmTfupNkDFFFSMWFrF/w4eZaExNK78mkAtPVfuaAnHxehFpngTJZX4Ujs+hJ6mwk5fZ17SVUYJ8kOKOW9Xio6+/43BAFY0yb/U0ci9+LRm7pcRzu+pe/Ph/fdhmDQNqMhbeRG8mZ79Uue2r/ktgcO3oqITcegrxAjako3jMOVayBK+7bV33TQkoG8nKDTWHyLV727oa382pwLPbhT3Xep5YwbGSDbAxTHF2e4oYG6MMpw4PbX2x7WkVJICOJ5UVxsEaGZWiHD/wiWcAAPffumaXOr3v6AhrWYLRmnkuM10MU/Xndbdt4MM6QXFS1djcLfGrOplxWsnAl/fyk+v2GoGwDls8pqYQQKIrJZjzBcsVs/pemvpXLJGZeway/iW1bfa4mGIy36eVRGEVyeVN8H2eRY8ePXr0mAsSBJH3taFuSJjKnoE5zM7kX8kETq5lVhMkgudwZDx5cWyP255WNvnNT5ADZte59leS4wYDw+iLaR6t3BZpOIkga8H4lktT0t08S6SIrBxjFeQDVyG1nFZBvoSyELyS4ZWE1NpdVdbWOhGJTtjz3pE0F0iMJpgJjNZz28ZglOENLzqhzikZY923tSwJomhqdsmTRS0xrhg/+b7P6WsU2NAOZqG1y2AsItXefFfJmTq5jVUl4qp242asjNgZq3JqYPMwjg6TgCLz14yOaRF4bfk0zNFhgq1pgl2t+QsiqzHXEljJYJ3hpecIryVjJUtwXCePXp6UOKPLh29PK2xPSluaYzypUE515BtzkDfzC+973Nba+qtfeDdef/thu1DQKBWomQNqzI6FtmLNs1pJtve6loyf+qPH8M/+/P0zxxkLynShNjcAOl/CSxhUi4S5qDU7sPqPuYpUhP5q/zGI33v/96BdYOb5uRL0lsUNChONEZui5uGomTFM3FKMDMeznr48QVFJW1iwltK+hEUlbRY2oKOKvOVBSXhLh9bSrZ5Xh6u6mZLV5sXYnlRhUp7wV8ATdtKPJ/+kgb4yf0d5EmxLBGHlkKvB4yaWBGJX2IJ8vh/CFKEziXj5IHVrVEjVLgkvtLNiVyspFRjoaLNkRFgfpvjkU4rS2Nwt8bBOEnv5yXWcWM2sjyZ+5wQBd+hwzVGe4KSeLHX0sp0omkImzZCrbY6aYna0lJRshRURIRHsCStVVHLN0xrjic3IB7/Okr/yG6DmRvL6dstahlqqsbkwrj0hIyFkPPHoNgUjEZkVMlninpEL2wUuZcnMMwBoAe+1l6TCKgr/5cNP4ZNPXcaDd6qIrvuPreLeI0N7/c/uFJaq3da1zvwKBb5wLqoav/fYRQDAa247hEN6zAiMhCiY3I3/oAJAfuTWnOikGs4vVmua2bSZCpeU59d+AswSrO6emv0B2PpvVwzqM7h79OjRo8cCUJ/BfWOiZmC7lBgkInCYFR71cWarwjAVVkt7/NIY57Wz8MJ2gUvj0kZAXdotsa21cL9yrIGhm5iV49TQOWrtarWtKazOd3ZXZR20WycioJcqL8rFhxCEgVfqeyV3ZSRGeWotkUu7BdaHqS0FUlR1kC8ga4mq1PWrvNLma4eHgZN4slO4qKdcOa19h35V1pjqFeLyQWqvKRukOHtpgtPPqFpNn8oEjmtr4amLY7zhvmO4Qye0JQLBGueJBO47rpzaJ1dzvPi4jhSytIYbj1gztbH+HZW+3VIiFarWEQCb1Odr0H4ugX9uf5z8ukWub47zTIiQ6aiyQwPYCCNAWUelPonfTq1/N+cZJgLSrNV9aIBR7iyLaSVRmAg2bd1ZCtJbeGolT3BhZ4r3/qle4OkB4N4jQzynq/4+9MxlW4Nra1Kh0DkiAIJS+YBapOtjpzcBAH/y+EX8rT9zFwBViwuiOU9C8mxej4+ZaCW9KxMAZmdNILTGBDkrkwDslM6pveq9d5vFLN22L1BfovyGhGTGTilBUNEqY21qXvLq6E9rtZaFqQ1VM3uTbILxxTqgfvwy3L4vIijQpqmlICHKj3iKVpErCsf/ExH88mb+SmoVEGT0Ck8IShlSDkfXBnZVvbWhExZrgxQXdqYoKh3hlad2zYI8FRiOMpt5PdkpsaFDN9kTDAYmwilJVAluU3rbX53N7OcLN7uuAlSCmZmEzm5NcX63wCldWI/YRcdUUlGHLz+pIpCOjFxVH2bYmkJNEB6THb/G/hwk4Pw9azmpyTqaQ5rWl1g0zbQlkUknMwAA6wMBqR0/21P145beyfdZlLUMfAkyElaJIKsAjEtHN46LOqAkVyJHrF/U8eK4DHwv2xMX/Tcua4yLKvCNmUoGeSowyhIX7p0KnNYJmGvHV1DX7GVkz/qa2iC8caeIyiIKhYkvc/xxMf6qoTeZG8Ex7/nZE4ggsiufQonoTgD/CcCtUI/Y25j5J4noKIBfBHAPgMcBfBMzX7ziE+4T19yGIqLHiegTRPRRIvqg/u0oEb2biB7Wf49c63726NGjhw8inXfU4d8CVAD+ITO/BMCfAfA9RPRSAD8A4PeY+X4Av6e/XzNcL5bFn2Pmc953M0g/SkQ/oL9//7wGjEUBqDLHmxOzAp602ocx8+OEMoOjqzmeqbSmPXYJeabkgtEa/YVkgDAaxo92EoJUldaID4mruwJhraWmfZQ1orVEz3oY5QmOreZY02t3F5W05aQv7Ra4tF14VETlSqDvFAFNNlzN7H6rhwZIU4FtrSWmeYLUC3+SNUMI55hX1ymivirUtbTWy4MPHMcFnUswyhIMUhHQLSZahpmRJ2SjdQBHA0m0r6VMpLYLnW3H5KwLk4/hgh3CMW5qs00TbvudeXa7jYzSFIkfjWWe192yxrSWgTVhoq1MMp8ph5ElFERK+TXEjnmrFRprwFCQfvCEzW3Rx525NMFvPnwOm+OQejL7rA0zWx3Yr21mcpFecFLl0XzZvUfwzFZhx0KCzZpNSAg26c+PUmuC9C3AhsQ+/3XigCp0nxNBdvU9QFlrEz2G+dKoo+UsfsTMZwCc0Z+3iOjTAG4H8CYAX6Z3+zkAv48F8+BB4noRFjH2PEiCCCuZMoNLvcSigXmIskSgZlgaqpRsaZFPPrWJS7slxhOzelnIyctKWgqiKQLCr89jBIY5r+FVhVC1ZOwKdD5dYx46m9XEdr8kEUg9zjlPhV1bo6hksLJZIsgu67o9qbBzeYqBLgiYp7nzg9Rhtm8+SO0aDUbwVJremOyW9hrMuhu+tpQN3KRORKg1BVhXJUi4ulLf/Orb8YePXwAAHF8b4OTqIAhtreEil2rpJl2fejJCo8kfYeYVsy9xOLHUfhwm0LpkmjkkoLQ6zC9mny7Th2Tno8kSwm7p6CW/FLeUbJf8Nd8NTFTcyCvOuGYi0fQ2P+HQLUEqrbA2vz91cTyzlC8AJBnZdT8MTKb517/0VgxTYSdf38fTJNRN80pwdqMSQW5c/RUwgTASjqH4GyuwWa0oa7YnRLafYoag3CdoTxncxw1zovE2Zn7bTJNE9wB4NYD/DuAWLUjAzGeI6OQV9viKcD0ICwbwO0TEAP6DHsBOg0REbwbwZgC4/Y47r1Z/e/To0QMAgURnYXGOmV83tzWiNQC/AuDvM/PlpZUlWRKuB2HxRcz8tBYI7yaiz3Q9UAuWtwHAi17xID92UdEvpeQgssRgUslAo3nsuR1c8k3vSlo6RUqvjpIunWBvXkBfqMqfYSVQpxWa6CEDEgx/oTujdUvJjVFXZlu8nrX5vL1b4uFnt7A+dOeweRyXJqjK2lo6pw6PcPqCqusjEsJkt7SVYQfDDDuadtq5PMXKWm4jtzYOD+3a0abUR6GPSzOV6EdDZz35/Y6dxC/QEU4vPbGmLEDPujFJaqr77HIpeDaXwtdS28DsnJ5N792VhMh3mSLil11Q6IQ1Wv/J1QwXPdrTp8iUNSxtPbOaGaa4RgZCNnRU3siLivMX6opRT8IqxcBs4mdcFt84tWvJOKot0FtWU6QJWWvvkQtjPHxe1VYrJeOew8OZhEmD+Ff/ftbs7r0/hnENqqBMCMLnpGZGwuGxZrwNs3DFIICS5WRwE1EGJSjezsy/qn9+lohOaYX5FICzSznZPjFXWBDRuzq0cYGZv22/HWDmp/Xfs0T0TgCvxz4HyX8wzcuVCbfSViklNieVDZ3dmlaWi93eLSEEYUVPuuUggVnjLIWpu9NcClqkwk6SLIFKSwND3fgTqxAUzDR1lHbq6B0XVVRrP4opULg9qSydNNktcfn8Ls7qbaO13AqnVz5wHJ998hJWPS77z7zgGAC1ittT0y2MdRjheGsHh82KdqMUu9sFVvSkUHs1pVbyLIgUM0g8SsNem1TRXV/6UrWmwlqeYi1X1zJIlf/ATEpKaDhKSgIuZDKaWfw52J/zBDkqSo0gd6IcmvbwlYxY0OyHpXbRUM4vYz7ngnDXxgiP6ZXkEjIF8PWk552/rL3sbuaAZhqmCaAYIruyoi80TOb3uKxRVDUSocKW14eppbKAMMy2qCRWqiQQOoaiklA+GHMdt60P3JoVXhRUDN//ZGDrPZnvvt9C/3XKg+fnagGzin7ya4+Z2lRbxXKioYgIyXKioQjAfwTwaWb+CW/TuwB8K4Af1X9/7YpPdgVYdKUvAfC35mwnAP9+vycnolUAQjt1VgH8eQA/hOtskHr06NGjCUuqOvtFAP4GgE8Q0Uf1b/8Iav77JSL6TgBPAPgryzjZfrFIWLyVmd87bwci+mdXcP5bALxTayYpgHcw8/9HRH+CfQxSQm5Bd+Pg3vWcc5NKYruobUmPhFy0yNFDAxxbG9ikvO3dErJSnyUzklQ4h7Bw5bvrWgYVWn0cO7WO6bi0WvfO5WmQd7C6mluHutE0Rx6d5Gvpx9YG1gryNcazkrF7eWqtF5aM9duVdnf28gS3HluxpRoe+tNzuHSHWvFtJU9mFkPa1ZVN0zyxTnFAaZqbRiuFsrJWtQbZVJvKRFFlgwQP3L6Bv/ASZVkMU4EXaecokUp+q4VxaofO0Zin8C0E33pQx4b7+lFJbfv5h7RF5sR5Ge53vy/c+PsimDpm/rlsNJRkTEwQhrYkSulqShkL+sJ2MVMiJl4n3l9o66R3z8ZevTPrDG+gOf1gCgMTKfXcToUsUYElgKq9ZpqQbKpAu+NMmY0makqa+8/6XnvBAmHdLm9xqw4Ggqts665paVVnaWnRUH+IZgMXAL7iik+wJMwVFsz8S4sa6LLPnGM/B+BVDb+fxx4HyQ/Hq5kx0DdRECwfvJIleMmJVVsv5nNnd2yxQABBDRxZS0u9DLIU5bRCsmKSy1zdnXyQIhukNplOlfN2/RKCrC9AVhI0JGSeD+OkXmvj2YtjCC+yJfUmgVGeIk+EjXQ5vJLh85obzvME2SCx0Vh17ZbrLCoZZHffoQUFADzyxCaKcWX9GWKQ2n4X0wpSMnId5TTwhKESdkkQqjv2M5Gjlfj+8qtuCybj8/peHB6mSAVhoMe4luGLHU7U3SbhWbpolu+2kU5zaCZ3fNM5uguEmTVC5hzL7BXT8+iTXVnjuctTSwPdfnSEZ7Tg3i1qnDo8tM9FnGnt//UzvWvJGBe19T1s7pYqwa6hgmpcSNAcCwAfObOJL777SFCu3Z/zEnIl4ZmBSisGiS0x7q7dUFImvDkO71Xtt5SEbwBpttcKFu+EywqdJWAvDu4bHp0INyJ6AMD3AbjbP4aZv/yA+tWjR48e1zeWZFncKOjqnfllAP8XgJ+BK9x5fYFU0k9ZM46OMquRrGYCd+mF6h8+ryKBTLLOG19yEn/y5CXbxKXdEpd0rSiRCEvFkCDUtZdXIMhGEY3Wc7zg1CFLX527PMV0rBOpplWQryFSYctEA2F0UpIIrAxTHF5R2p6/+FIiSNd4ctrW2lDFxKwNM9x/y7rV/J66uGs/b4xynNarmgHA1m5pI5yOHB3hyNGR3Xbh3G6wVnc+SKwFtDsubbmTybhEXU9x+aLqS5ol1hEOALIGcm11/IM//wBuWcsDi+8JnTB4Zovw4K1rLrcAznGbCFpoTfjaZbjus7MomiOg3Da/6qxqs7slMG+/pjIh85AIrU0LZ71pJRyZ1lxN1F5yiWzSZS0Zg1Q4GsqbuGLqCNAOcCiN/9AgtUEKJ9cGwUqQu2Vt8zoSIpxYHeBL7zms2kgIm1O13+GhWsBprJ/xomYk5N9DzzojYC1z/fNL0tfM1towDIHJQVEl4bXFhebIuHAsYfsNIKgW7Z97KaCl+SxuCHQVFhUz//SB9mRJKCVjY5DMhMwCwO2HhnjkwhgvPaF48/uPrdjaRGZlMBOCurVbIkldglOaJdZMv7zlVjSb7CgB8/LbNwAA42O1naCfOKMK6A30xD6dlHjg9g1LB4yLypn+uUqSsuXFo0gXH+e3CzsxFLXE4ZXMoxtS3Kejmh5+divwb9x5fBWFjqwydJupGbR+x6GgDLU/FmvDzE5IDz+zhaqscUwL4PObE6wMU5zUBQG/6iUuJeaujWFAI1zYLXGH5s1XtDD059WYGmoKbZXcXtJacnOp8zb42dUAICMB5R/bNkHtNRY+TBI0bZhtmp6RbH1tpZQY5Ykt13764tgqGHkqcHQ1t4mlGyuZvXcmoskXICY0eZgIpF6pfhMxaKjbQSpcxjgz7j+2Ynn+TABHdWZ9oZNfm9eRUJnYRlcSnv8oIUICF+Xlj60VMv7Y+23y/HsarpHCODeuZvZZWuTskqKhbhQsCp09qj/+/4jo7wB4J9xaPmDmCwfYtx49evS4rtFbFg4fgopLMbL8+7xtDOC+g+jUfsCsKKj7jgxnNFTjOF3PBV58fAVPbip5d8tajlWt4W4MUpzPExxdVZpvUUkbK74+zHDUy1V4ZpjaNZEBWOoIUBrdhv4+GKWYjitLPdV1EpRkAOCqexY1BqmwEU8bo9xq84dXMmxPKpzXCxXdfWzFnj8hwvmdwloTAPAZbSXVkrE+zCy1lgiy17exohyV/kJJvhMzT13F0lGWWCvjC+49it2itiUgDq/kSAThZbcr5/krTq4H0S6xdXRCj415x1ypCAoSs1Sk2mwbNYfrLDdVoXWaOloRv+I+LeW30bR/lyicvaL2SnwAsIsPFZVEUUnrjD6/Xdgqs7fqlfXsuvENC1+ZdyG2uBICVrRWnEUDlQhCqRe3umtjhGMrqS3zXwlXX8uMg+8wDsYJzdFIqoQHBffJL5WSiLBCrVtoapGl6D6bBEjDKkjmoL7WUtD7LByY+V4AIKIhM0/8bUQ0PMiO7RWpIBxfyS3XaR4wP8oEUC/JkZF62U5fnuJuTacc0X6Or3v5rQCAxy/u2nr//uQOABsruZ10/RLRgMoEN+dLU4EqdQ+mrCTOXBpbysb0G/CjToyJLy1FZKK0Xnxq3Z7zFt3GSpZgu6hsEbijq7mt+ZOnAmtewlVRSVzQQqaWjFGWRHV/dOnpRASU2JrnL/naF53EtJJ4VFNtj55TUVlfft8x3R+CWS6gluFE5Icx54KCWj6pt19CipIx73Q4eYT3t5RsaYU6oqj8KcFoPH6dITt3RX+bXn9T3I45XDfB/7wI/qQY0G/676SJX5eMUZ7gc2fVOA+8sE+TTBevmgioe58nwk6MmRB2PNNEYJAm9t4MUxGsoVFKxkn9fB9bSZGQozL9SDXjk2jKsgYQrBKoFAD3OX4nfUqwNTotuk9NCMJspVPGglpxe/QpzcPzKRqq65X+t46/9ejRo8fzAkQEkSSd/t0MWOSzuBWqVO6IiF4Np6wdgi0scH3BxFb72oehmoz2ZDSoI8PM7ndiNUdRSevkyxKBE+tKe79br9Jm4ttTQZaiMhqSqfq66dX4OXV4hPNeUtPh4ys4eWgYRK/4uRSJIGxoq2clTyztdObZMb75C+7Eto7A8tfL3pyWloZQ5xzamHxTTtpsXxumuPOoupZJVWNzt0Q6cQNlLBBTYyiO2QeAW1dT7JQSx1cU7VTWjCwhu8pcngibYFcSB5rmxjDFIHURXcSu0mzmWQ+xttoUuWQr1AJgE80EhpfPFcBE2bRpR4u0JluEhZx10Yam6Cqfdon3SwThyCCxWnCWEIYmgEEoa9BYmYn37OWpwJlLE9yho9riJLxMuKqzWULBsz1Mhf2eCGV5GMtmPU9wVD+HZtGitui0JgvNIKPm/SRHCxVFbfj5EeG51N9Gyw8mKdedg73kXN+SKZdlWRAg8t7BbfDVAL4NwB0A/jXce3gZKh39ukFChPWBUA8ecxBO6XOq09oV5Fv1Mk5HqcCrb9vAYR0u+5rRIfvybAxTCCIcHSne+LmdqRUcg1RgYyWzE20iXNifiUgxAmB7qtYYMKvaVZKtL8CuEeBN2Ft6ki8qiScvjXH3ESefq9qthndqbYBNLUi2phUO6eiri7sFRnlihUVChKEWTsdXMqxmCc6ljpYyiXaruoaV4Xgls83a/cBTW3j5yVV7jV901wY+e27XlQ5PPX5cKOFsVi0cJMkMP+6HVtqPUZSSD9b31tUX8o6zp22b2Jrpjlg4NaEtHLaJgmrat+laDN0tWT2jr7pV0YwPPbsVTKajPAnWL/mi+48DAFbzNAiR9f1OCREyTScCwEALCEAJi0EibESa6UeWmGKBik4EVL+I5q/30ZTd3hbJBji/U5OQaU6EnL+96XfznJjnzS/EedvaAMvBnqrO3vBY5LP4OSL6zwC+hZnffpX61KNHjx7XPYj6aKgAzCyJ6LsAXNfCgqG0h+1K4umtqbUKEgK2tPb18pNrWM0EBiZCI2rjniNDq0HlCeHL71WRw+NKBhVSE7GOdz+iFvbz6/IAwMYos1TUmUsT5KmwWnhRSWtlACrKyS+xMMoT64De3C2DOj+/9Pufw4tfoPrzunuPWitna1Lh1z/2tKUptiYVtnQeyMpqjq9+xa24V1NPFyaldTIPUoFjK7l19tccLkgjJUNKE+vvtLJJpbIRzCuSC8JansJ/Z4x2WVQSO2Vt12W+97BLAlyEWDM1mnYtOXCMh8eEB8UaaRPdgeh3HzKiSgAoq7VF04739SvLmj7YBbS88xtLxNRY8u+Fb1EAYf2nUkrcdcxZm+PSRbcJUjSU0ayzRNhKzMaqMM7veH1skXqLH2lrjFtWimpzbhu4kh4c5EvEll2Mtim4LQHS3EP/nuUJ4YFjI9sPPzJrKeijoRrxbiL6X6EWD98xP15PeRaVZJzbrXBhrCbEppW4qibOwENCjvD2I2dMgTTD/+6U0nHDpAq7mZc6TwWO6zDbIys5SiltJEstZUD3rA1Tm6m9oakpQxmdvTy1AuCL7j+O91Vn8dCnVXTW0dUB3nNeVW03YbsmlJYl4zUvVDTF+jDF9qTCBS3I/uCzz+Hp51RfklTg+7/mxZaK2C1rOyGXtcRY1jbDN2OXwHXv4VHAjRc14+RaZvlvyU44n748xSARuFvXv9oYuBer6Va0UUFVzVFilju4iXJqoi3MZLIX6mleUp7fTlwm3S9HHlMt1vcRtKWKCprKArcfGuCz59wypj58OsVkdxvar05F4KMYZUlAPfnRT4nw6y+FfVzLElvO25xL2ii00A/jw/gJgt8wi3lCoqndeZhHe/mY1hKTasnCAs+vaKiuwuI79N/v8X67rvIsevTo0eOqgggkbo5Ipy7oJCxMvsX1jEpKPKujhyS7EgRVLW25ZyCsHeRrqAmF2YdKY3V0lV9K4vK0wmHtRC5riaKU1kIoaomSXISPJLJO7FSMgryHPBVBzPcj53bwXx96BgDwhQ+cCPIcRsMUl/X3zz23jftOrAEAPvSn5/BXvvhuu+/vfvJZfPKpTXddgjDVzu+6kvjWL1Xy/dc++jROrg6CMTB92YWiNEzElWS2GrzKfwjVuNVUWI3y3LjCGU2DnVwd4MgoQW7r/FBAS/iIy377pahjayLGvAS62KEdR1XZbVGbbWeLAyjM8Wj5Hlsy5rpFtL8EwUw79x4e2jH+ULlpq8ICOn8idRZFzWEOgYFxcJv3IINLRlMUlQgsCgFXajxPPIsIs5FLbOmcxVZEMC5ztnW1JmJrz++n3xtznzZ10s/TW1Oc2y2wXBCQZot3u0nQtepsBuBvA/gS/dPvQ62XXbYedJUhGZiaFeW8yaWUbCe9Tz23jSPDDPdrHtNPBBtXEud3S5zSmbJEQKYf4FKyXqJTtXNoMDtsJqw1EW6NBkj1Yvq0E+CKvBWVtIJjt6xxy6GhXVXu1g2XuJcJwt/8wrvxH97zKADgzFOXbSLg//yVL0RZS/tCf/XLb8UTumDiH37qWays5viWP3uPvg5paadTh0dIBDDVxXvqSHAOUmGFrGA30Tx+aRe3H9qI1owgS1sMU4GXnVTZ5E1UT0xjuFXPwtLT84RDG2azsmd9FE20RdM0FU8+begSqWP64v+N4fdnmArctaEidh4+nwah0SokVp1JWM7LHWx9FDoSzdzvMPpJZcebrmQ6gs9lzHv1sqJBiJcynYcmob0Ii+ikeF/yPvvCQzIwqRmfu6hWH/QTQtui5fYMwtKWVb0R0JWG+mko5eSn9Pe/oX+bt4pejx49etzEIKCnoWbwBcz8Ku/7fyWijx1Eh/YLRmhF2OgZTxOaVhLndwuc1+boa28/ZKtpPnV5inO7JTa1Fnff0ZGlAmpWJSVMSHsppW1XCMIwdXHwReUWHwJ0OWhNWU0qFa1iNEVTygEAJrXEMBG47/iqPaerZaPKMbz1f3wJAOAn3/OIXU/5/G6BYys53vvpZ1W/T6zZNv+nN9yLX/rAE/ivetuXv+QWS1l80QuOqQWHtHpY1i6BydBtQxvpIa02O7W1dmCvQQig1PUwDg+TGQeir536+S9xhIxBHIfvR+sYSsovNd5WnVdEWn9b1FMX+BqroTiAWY15P+3Hh6i8IDXe9xxZwbNbU7dynVfCA1DPn7lLCQlLh65o57ahljLPEStAQe2tVBDyxEVOJcKjmvQxjbkj865pgQXXSvPNabMJfvsc/X768tRaFD41vbRyH4ReWDSgJqIXMPOjAEBE9+E6W9eC9eRqCrDFQgNQYY+Cyb5sH3tmGw/o0MOL4xKS2Sa3PfTstj12WklLzZjv0psBs4SsQLg8cSGvr7h1HaVkPHVZTeyllEjIrTq2PamCbOtsKDDQL9mZyxM76ZuIFvNi/IMvf6Fd/e89f3oOt71wiFfffQQA8L7PPodz55XpnQ0SfMeX3Bdw1aYW1H1HVjCt6yDk1UwWMQWUkKvTNEgFdksZUHjhfQipGb+pmMII6jh5k37CQOGNr+9rkJpfN+dI5giARWyDv3le5FNz281ROG2njJuM94vPb8b7/qMjnNstLM0JAGs6a9gUxzP7jrIkoJrW8gTHvFBtU3Ax19FsVsjoTG+/dpMpLT5vLJqopa7jMe/WtN1Pvx5X2zb/u1mSFgipadnlBncA9Ul5jfg+AO8hos9B3ee7AXz7gfWqR48ePa539JbFLJj594jofgAvghqizzDzdMFhVxWKhlIav29N+JSFlIwSEolebFokhMe0A8xQMG5Vt7Cssx91UnNYiVZKhrcImNVgbl3PUdSMx3WF1pUsgfSoJ7XinV5giZRD0lhGm7ulTdArDkmcXBugrN1iTGbRpr/+ujuQEOF2XcfqwVOH8Dm9OE6WqFUCfbP77I76PK0lBnARMf4iSWqtY2eVCSJXNiJNFEWk20uSMGYfgOe0bqag1D4IIABvDN09aIJvaaj8l3C7T3UtG3NrQjVsDxL7FrRlrRW4XIpBChxfyQPLwlmahLJ2OT8bg9Q+v+uDBEdHqb0v6p44J/tecsni5MK2a1h0fT7i3JQuELQgYML7fVpJTCppadO4fM1yQKA+GqoRrwVwjz7mVTqS5T8dSK/2A4YVFHHSVjyZmEnIv/hMqFDDspZ2H3+yGqTCFlc7vpLhT3XEUVVLHBpmNhLLhDMCwOVJjeMrKV56UoW5mpBSk0lb1tImviVE2C1r+3DXkm0SoYmemproJOkm9vVBgky4SBfJwp6vlm5dBHOOI17IbyYIZTX74pgxsLSEcOsiDFOBPCGktvQ1BS+pP25xQpmPprnHp3ZSAKS77k8Ise8hLm8NICiN7aMpRNY/bj/sRBuV1bRfm3CIj5UgkBdiu5YnuFUrA/cfG9n1WGrJWMlS797zzH0yYA4LNarztMOWPa+NEtV+XU3X0HSNri88dyy6osmPsq35sz89P7a+SSCmpJbls1ieg5uIfhbAXwBwlplfrn87CpUIfQ+AxwF8EzNfXMoJ94FO+oWuD/WvAHwxgC/Q/153pScnojuJ6D1E9Gki+iQR/T39+w8S0VNE9FH972uv9Fw9evTosVxoYdHl32L83wDeGP32AwB+j5nvB/B7+vs1Q1fL4nUAXsp7XYl+MSoA/5CZP0xE6wA+RETv1tv+DTP/q64NMUInltGwsiRMIssEWc03IadBZeTKIgAIFuo1ESWmpMVanmDdRDFVhIvj0tZYEkTWAlCRGKldd9r8vaDXBf7YM1v2HGUtIYgwMRaKR1Hdcmio10VW7SoqiPX5JcraxdP7117DRVQBwHAgYPQDtXayv84324gFNQYSmXB0mWn/7g2VMGac4UZj9iNNjEUR00FNVJUP+5tO/BPCaILOkorLdgS5FPb6w+8+9hsN5aNNm24qTd60fVGf/OMTQbj/6NA6qgcp4TZNQZ7fLZEIl/dT1NI+tql2YNtzNpzaPDHMrCLTWN/T6NYQUatDej8WQpd9Fjm5m74zgM9fUlZXWUukifAWP3Lv87Ic3MvMs2Dm9xHRPdHPbwLwZfrzz0Hlt33/Uk64D3QVFg8BuBXAmWWenJnPmDaZeYuIPg21fsYVwVBK5rOBWQfCrh6mQ1IBn/d223waRTJbIcAM6zN47OJYrbJnqAxBNk7s3G6BjWGKjYFbT6OUjKO6DPqrTx2a6funntsGoCiGY7ru01qeYJAm9hyldJO8+WtehrJ2VEQpJUrJwRj4kVEBb10DMrAz3ZeVTNgJapSqWlhm+jDJUC4z2wlgM+k08ePM8ycMQbASgbwIKxNtZa479llInhUaXRHTUV0myKaJr6tQiBFPfD5Geh2QQjIO6RpSlVQ+idzeU4FCS+1h4up3NYG8c9TcHgKciS7LmbZvXIZw7opxKW2o7KSSqGq5RP9EEwg42GioW/QcCWY+Q0QnD/Jki9BVWBwH8Cki+mMA1rHNzF+/rI5oqfpqAP8dwBcB+F4i+psAPghlfcxwdUT0ZgBvBoCjt16xjOnRo0eP7iACpXnXvY8T0Qe9729j5rcdQK8ODF2FxQ8eZCeIaA3ArwD4+8x8mYh+GsAPQyk/Pwy18NJ3xMfpwX4bANzzkldyQsoi8GkSIbzPRCgp1LQNzCp6Ltcg3J6A3OLvYIyyUPN2C7vIoCz0s9sFJpUa5mmlkvnutVVYk5l8gS+8YwMA8ImzKbaLSrefYJA6J7YxrU2/Acea1d7qYIKAoyMXITP0kgXt4kFW85LW6phUUid0qfOt5om1jiaVxFqezCRDGaehH6kUBxYE8Ggkdy3BJguzJrfq72yZh7AMeLMm2eZo7QrR0F//94OEWRwJCBfyWs/Dq02IrAWSR4PfRJ351XF9sJcskwhVs6oLc7OXsZi366JTNVKYAM5sl9b6L6OoyANDd8viHDPv1c/7LBGd0lbFKQBn93j8UtE1dPa987YT0fuZ+Qv30wFdd+pXALydmX9Vn+9Zb/vPAPj1xe3AUjWpx3uEFAUHFJU/eaod3MdBKoDKRUaZWjsAsD2VODpSk+e9R0aYVC7D+cz21LZvBNC2jmYaJAKb0wqfOaciqe4/tmIzyA0Pb5YdvWU1t/1TJdKd38D3T5hEROObODrKLP0QZzur8TCTgPZ5lOpvJsKihkdGGU6smLBeNy7DVCATIT8fhEGiPWEtxrzNbccmLZO2bXMPUTVNPoa2c+9FSOxVfjTNaRRtcyXx3cR9aJBgUrmoORIu5Db2M8TUmSDYhgyVaNUGdv4M05crFYoHIVP9PpeScW63sDSUH/0EuKUEANgIxCsGHXjV2XcB+FYAP6r//tpBnmwRlkW4DRfvMgtSb+B/BPBpZv4J7/dT3m7fAOUz6dGjR4/rCLS0aCgi+nkA7wfwIiI6TUTfCSUkvoqIHgbwVfr7NcOyVhvfr8H3RVBFCT9BRB/Vv/0jAN9CRA/qdh8H8F2LGiLAWhVDbzWxJiefX5nTaN3GfDX7+1FERps1FoOvsazlia6lo74PUxGs0ge4fIMpJAZebZ+R1tINJJz0vmUts5rQSqain0yJjUQ4GokIQCWQaG/yoUFio7YqydguZFgZ1dBeUOXCbV8ytzhOKZVTPmmwEBKEWrZZ8MYvHdHFMbwX7CcGPz7fvnIoWqK35vWn/doNjdbckXhVPkMwGdrNbPcj+JhVMqj7TqGVF11/W+SSuTYbpNHQRf9QbvjN/71p217Q1m7T4koG24W0kYFq39n9smU7owlLc3Az87e0bPqKpZxgCViWsNgXmPkP0fxc/eZe2xKkVgZLtAAQdsnIMLnOf9mA2YfKhn16hccUdeWVhvYmi6Eu+maogLU8sSGucSlkQSpr/IGjqkT6KKVQykqXKXsoJ2wcV/tNK4lndiovQsXV9clASIixmrk1Dvxy4USwETJmzQ51nQDA9poO5Yk3ITFyQY2TbdOEr2oLue9do2OWFcHYhq7t+6XSfQS1rOZcv20n+t5UCrtNaPgCwfQJ0M+vDJPYrM8ButS4N3ub+8BROwJO2eCmdnyFgMLrraQ71lCrXa5/GWg6k4288z5vDBKr8Pnwox2Fdw3LAIH6EuX7wEE8Jz169Ohx/YII6B4NdcOj6+JHqwDGzCyJ6AEALwbwW97iR3/joDrYFUQmEkp9txqFIJjqLbVUTi9jPagYfc/561scXjXPRFAQHZR7DvQ0IQwBjLWGs5IlwUIrPjIhcHiU2iQ/X5tkRAlm3udUqMVpTFdzQagtZcDWSW6O86G2ufwQe33ESL1SKESwapxxsvvaZaxRm+9MYV/3glibvpaYV3MIaI+GAq5cUzJD3zSGMQ0V9ykV1GgBpdoy9I9L9XNQRTFjjQ59/ddo78ZyVqvohZZ5Gy11NWCuXSJMtovL/PhBL03RkPtFX3V2Fu8D8AYiOgKVdv5BAH8VwF8DAGa+5g5oFS1kfAoeN68T4fz9fKFQRoIjLigIqIdrLU/tJBo/bHlCNpCqZsK6LiFdShm0s5onuHM9sy9wXGTOTzDzw0MTQUEopJ9oZwSXX/fHj5xR9IHap6jZvVwUXiN74ZlN3Lb5rZYchFbGgmIej92Erpm6XbGs9nxqal4k1H6nnXlUSFjbLKSJwrBhmqFZicP9/Gsoo97O67tPl8VVENrAHduch70k0Ul2AYy1VCXa4yVmTXt+FOTckO69gKiT8/pmQVexSMy8C+AvAfg/mfkbALz04LrVo0ePHjcASHT7dxOgq2VBRPSFUJbEd+7x2KsCAuwi9Kp0c3NUROI5bv1F6weJijgykUwlSatNrWQJUkF25bgZbc4zeUep8BLkBMqabU7GWp7YRWWAUEs07dq1muFZCABWMxdlVTOQW81et+VdX5yLMEzd3x2vA76FNamkdZKbRs1mX5NOBVlKwt/m0xbLwCKmoIvDeV57V7LAEbA/Ddr/mZoc6l4Jl2BhqGhU/VUCybPypFfN1ZzKlJYv6igfhmajmuY55Jtg3q1lKOpXWpYjEaqUu138LIr+kuxqvJVLy9ajm0YQdEHXCf/vA3gLgHcy8yf1SnnvObBe7QN+0ppkRmYeDCltcp2hmvwigybxLU8E2AslnVTuSRtmAsOUsK5r8iSCbIQRoLKXjdCZer+ngrAxSCx91UZrmL75lI7/kpKsMUoJkvVKfbVsDYOkqP1YINmlM4mQCSf0iIQVZErgejWeor4S0cxkfZCuhyZq60pp5yY/wDIT7exxsYDghsLgesIJBEiQlR7RRzP33u3nT7o1uxLjPvXCUHSiH3EFzBbh9LGMGkvx0gHLbLuqGeuDBLV0cwDgKgv4Ie0r2ZImeAJYXFc684FiLxnc79WObjDz5wD83YPsWI8ePXpc36BZyX0To2s01BdCZVqvAbiLiF4F4LuY+e8cZOf2AiIgT0lXJSWrjWXstK0MKlfCtyz8mjsEoJIu4slo4YOUMEqFrQdFssYwUVrKBCm2C2dZ5IKQ5I4WyBOXE+HTVUCUxKStCrLfnaZJLDFMUowbFioCwjWyfWoptirMdQLKFCdyi+yo3A3Xvl8uwo+tN1q9rch7BS/LvrV173M8Il3b3Kt10kX3nbXAvM9NVoVHYbBHPUlmG7rWeH0mH0aQpa4MQquAvZwKdw9TQUH5i/gcqqrw7HFt6BINtdfchi7jraL0jNUOrHplcMx6437qxbwqvPtGHw01g/8DwFdD1SoBM3+MiL7koDq1HwgirGVCm9iuLLZkApG6zFqqJLSNgeZxJdtsZ2OZGnppACdIMh2NRFKFxIpyjHqgVqPLWK0jMCRHURnT3zzwLqEppIj8ZCszsbfy3bICtfCjPmUUCwhBLuTWL7meJRSc3xcOXSZScx2LylfPHNd9187tXcvQzficcydFEnZyN3W7AN3/qMZWjDApz7XhI57U/W++AJhWEsOE4Ad4x+d24bg8Nyt/Hvab/GbCdRdBvS/q83ouZp7FumGJZdP+MsAAuPdZzIKZn4y49uZkgh49evR4PoB6B3cTniSiPwuAiSiH8ld8+uC6tXckpKKNDGwpA3ZO3aJWq8MZOmdFO67N8TFMJMkQFeCttMUidc5ILUBNfHfmRSPtlAxAYk3nXTQ5VNucyD6M9pKb6/CpJoQalm+dxIpdSoBhshg6oQvuOH89orlWDqKktQUaZNPWuO0rcXJ20V8P0gHvI7iOhpPaPJcGTb5L9FXTPfGrBXexTiQDk3r2fP52g1SolSWNVdqUlLdX+6HpXnOwff7xTePDAA4NhLXii1pV4/VXbYwDBZaCXljM4LsB/CTUKnanAfwOgO85qE7tB0SOSvIL5CnTVG0YlxK1NyMmwlFEhrP36+dkZteqVnyzeTBEEtAJo0xgqmfhSSVN8BUyQRgkwnvRI76d9mbeG5/JuOIgSS/0U7S3KEEei61grtcPhzX1tZpgaB9zTrvcqd7O0b7zME9ALCta5kqERJd7s5d++vz/jHJCHe9hwzlC2rHtOASVC1JvR0ZYN8ynS2tW22xEHxHGXvi1Lzz8cviSeS4tZvoUY94aI0Q0N0EyIUIyVStNDvJVCCIUeps/0S1PcaA+GioGM5+Dztbu0aNHjx4avWURQteD+mmoNWFfTkSvBPD1zPzPD7R3ewCBkCcCgmsQy0B9qFNVHSoVhGklbYkAAc8E5xpUl7aOFCcZTKqbzIYQdWm1CD9yhQhYy1z9pVqSXVgoIcKhgb8Qk3I2B1EvHlo1ShIAS0t9reUC24U63zClGYvFNGP250D79c/nLArJca5Gez8JLj9DsnqI9moJLNrH11IXadrxdvM1qIW1B+uEMUvn+TkQcQSSQZeSGF32WXR8l0vxazYZ+LSTb40yh1SWf+21rr5snpNBSlhJ1OedmjCt2a7OZ85r253pE+z5g/XGF1yQ3++2gALBNUhK/d4CVBfIkhyZ7iuxhNTb6i7e8y4g6kNnG/AzAL4PwH8AAGb+OBG9A8B1JCwkkmoCklUYokgCiblKkUF4CTm1dHwrySr4G9BO6QCQtaNakix4RhJBtpgfM0MvjGejSLpEhTT5GYJJiRI7SaiS5I4maJ3Y9DX4/hW7xgaHkUwiuh4fZvIM+6opjQZnz16pmRjzjol3n5ewFtyjhvMsmnRb78UBoym7O9iu/zb1qe3QuNaYH8pLJECCgkk0XGUOdjBI1vYdGaUDjCtpk92GqWhULNr60zWLPvbHzYQk+zDf45pNLCHKiT73Eu9lb1nMYIWZ/zjiC6sD6E+PHj163DDoQ2dncY6IXgCtThLRNwI4c2C92g+0psQkgCQLVCxDHwkw4GkmvpOPiik4GzltjRlUKU2EqgkgUrCxWJIs0N5ZJM5h6ZfpaKFH9nt5gbbn1Y2KtS13Qr1ing2Zb6AmvM/znNq1tWpm9+3qqO6KeccssgaWUDlipq39WEdtmJuGEURSNZQFsTs2lAeJThDTVT5dZ60KM9GxBDEgKAn2B5SlLISwCZtMCVhr7YIZqwmj1HStn8sBhM9WIgjCG88gEGKfL0ZgHbHU12TeX7OUpPD+6t+W9pBQn5TXgO8B8DYALyaipwA8huvN4U0Ump4mWkmk1mxmkYbUAiuuEwA4yYO/6ouuKTXdBicSSNVS48n4Elh/BksgHQQvmkkIjF+B+BntOsk0zgn+Z2qZOKLz+GGOMQ2wqC9NNatMm/sRCE1+hTYso3ZQE9papWi7T9fFtOKVKgAGAuwoUCCY7BZqr55gIa9NP4lTkBcazbB+MB92KVfv6UqEVkR06HjFoQ8uqUtk6QAAULJTKirJXon8sH1DecVFD03X/N9iCnQvCChpEggcjcsAEdBHQzkQUQLgbzPzV+raUIKZtw6+az169OhxnaOnoRyYuSai1+rPOwffpStEpDGRoaagNQ1fEyCCiXjidBAcx0TgfMW2KSaXAVJR29vpIazJXbWfT3Hp4yhSWduqbc50fY7C0xY5tciqAEubZ+KfwJSzbmqHYWps6XM16HZxhdJ5lkJTNdN5+3VB054zllzQ9py2TA2uKOrGOoSbxsk8K0ZLt43Nr/8URFXBs/gERZRJ1Mc2inDBvQ/2jZevic5jzuGvOEfQTm3PGT5zDr0tFUkQXVdKxqpJOl0Q+ddF2Vdt8ByTMLKW4s97MWc7ovdZzOIjRPQuAL8MwAoMZv7VA+nVvhC9bA2cL4sUEiG/H0ccueJ9bLfV6RAYEcR4EwCwVl8AD9ddm5RYOosgAtoHiCet5mUoBYUTdHBlND/qpysEOKAYvCAX1c8OjZqQ2rYs8fj7XiKO4oilvb7TTcJmLxE38/w3cThyJ3i1oIBw0gUAYRQXfe9ro7gwPLpQj7PfbJtvo+W57wImagwpTdRSfZ5SNPuMiEJNCZzkyEx4qiBw7fXbV+AgghsfFAPQ713jODdcG80Rzq1YVjAUUbfz3SToeqVHAZwH8OUAvk7/+wsH1SkAIKI3EtFniegRIvqBgzxXjx49euwLJtdi0b+FzVz/813XDO5vP+iO+NB+kn8P4Kugyov8CRG9i5k/1amB2PzUWpHRqn0/V1ziyGiCxGy1m5oBJANgeEhtm24DugKtilFPIIqxOke+OmNRxIlwtmtwSo5xFLeVXNqTJRFrW742G1FSTclmbRaOD5PElelosDYQtSeiKTqnpd8kOl104CRucL6b6K2me+GOC/chdHDcd9EodZSRPURW7rlhCQj1OREJmIS9N3HSZ9Akhz8ykvA5wRxKrM3q8Com23NE212UYNRkNgKqqfoiEkgd6JEIRuo5vFNyVgDrftp3rcG6DSyyOdacpZj3aVFdGZZT7uOK57vu5/kiAB9l5h0i+usAXgPgJ5n5812O75rB/W8bft4E8EFm/rXOve2O1wN4RC+yBCL6BQBvArD3wWNHvcTc+Vy6NzCTVQFCGw1FZF960w7riBD2JJCjEly7hPl+i6jr7riY7plJRgr9NI3bfCmQDGaOAzVP+nEEGRFspjtJCUbLcX5yoP1RzP42c5y0E4o9b5vAmTOUTZSJKZ0Y3/omgd66ctyCvs+FEQhRe+S1O+/pUJOjGxfyG5v3DLS25YRTk3JiaKG2d0WCQJl6L2rJqGpv6d+EPEXBUWQuzLXdR9OIOTRb7Du4asJjOTTU8ua7+fhpAK/S6xH9b1BrFP0nAF/a5eCuVzoE8CCAh/W/V0JRU99JRP/H3vrbCbcDeNL7flr/FoCI3kxEHySiDz537twBdKNHjx49msFEnf8BOG7mKv3vzV5Tnea7JaBmFc3xJiiL4icBrHc9uKsN9UIAX87MFQAQ0U9DVZ79KgCf2Ft/O6FJuZrRbZj5bVD5H3jta17NvrYfNOYFQezXt5WQW0muFDky1qY3Swiw09IW5C4sI8R7oVUR0HAcaWNC/x85u1nanKUaIqzSGeUVEHNQFiXuj08lELPVvmZKsaA5moRj68MvWRL1JziugT7zrQM/UMAPNIipKclhVVjp0WWqVIZHqcxEFHnfGyKHnMYbWmOtmnEc0eRr5PMwz/Fry8CYcwhNvTVTP8QMP93Of5/8sVEMmUfjwtGVEoAQyh419duarnFRdFGrxTBjTUc3dVm5FcE59hSEcY6ZX9eyrdN8twRcJqK3APjrAL5E01+debSuO94OYBWKeoL+fJsOq53upbcdcRrAnd73OwA8va+WWEJoTlWSSbhrvg8+tx4/BJIZhZ5VJjVjpGmnIRegurDcpT8hNYW1xtX/ZyJb5r0sXeiPRftY3ljTZtrfQLW0AiAVKchbv8MPN3bctZ/s1Byi6WlVth2qC29H0TrpzoMfqbYXxOHATpCE9GDctB8lxAxVot6b7GP/Qlvmt6AEZMY7VmxioWN+Btp9D01j1mUyZYbVDAD7/Jq+MYe+uzaYZ70pCi0RhO1S2pppgnzBIZCKiJYybc6jjxZRS3N55Tmc7r4xW4Z9n1jefDcfnwUwBfCdzPwMEd0FNZd3Qldh8WMAPkpEvw/1/H4JgH+hk/R+d2/97YQ/AXA/Ed0L4CkA3wzgfzqA8/To0aPHvrEk9f9qzXevY2ZLfzHzE0S02/XgrtFQ/5GIfhPKEUMA/hEzG8n3fXvpbcfzVUT0vQB+G8pe/1lm/uT8oygs92G1EJfmP0hUSYKmPIeaAcjZ2kmAW8vXllhWfVRt1KWqQhuZ9ADc6nozFMNsnPw8y2BPpvkM3UCwiYeAtR7EdAtVvu6sKZbOMV+X+kKTmT4xEoi4LEVsIVhHrbMw7O6mnAprS8aLZulqXcRWxQwrt4AKjJFEFkVcO8lftKgJ8ywK/yjJ7JzuImml73zqzo+YUz+0JJ3FWJSn4G8WiQ4qaA5UUEEb85tG1E/zflyamKhBt2LlICFMAeS6Lk7mR0rNc1Qvej4I88dkyTkRjOWUO9/ffNcdRPS3AfwdAPcR0ce9TesA/qhrO12joQjAVwC4j5l/iIjuIqLXM/Mf76XTewEz/yaA39zTMd7D4B7c0NzOAdQ6EkhyuKC7v1oceUlKiSCUdUS1WF7eCCM9QUb1aPzJM+be95tAFaP1BbO/O8Fp6TJZIaunkGLo7etFTQEuzNNrXpAA6tITJKyEi588Fr/ghsaKaDa/bpc9tuF64uNiGsqfrOexAsFk3QAbvAUCGorq+fvN8PZoVkLisGHpTtKtxlT0DDUKjraL7vp8ydoVNDOHGmoNoc+iKamUg+O0wkGETACFjh1mhl2DpUwJw4RQ6wZyCmko//7vjZ6UV3XlOq1fLqetfcx3e8A7APwWgP8dgJ/DscXMF7o20nVkfwpqJvlyAD8EYAvArwD4gq4n6tGjR4+bDQfhhV42mHkTyt/8LVfSTldh8T8w82uI6CP65BeJKF900HWBSLOHrJFIRbNQkqHWpsWMOelpUIJi5yjcGti121/9rQ8m8mIRvAii1kQln5LSWr0oFGVZpCNkFMXBN+RJUDVtjPKxmrh/nM5H8S0dO8ozbXhO14b+xy/lTJ0je33N4EiTn0crNa0dTfF2Drer38OcGr90vL8AFaCcvX6k1kwkV4d8gibreT91j4glWNZgkc1ss+VxvIgnf8U7INSu7WeTtKl3KqVbN76WjDF767gnGRK9HAAAZeXsgzJqtEIOMt+Cl2dZ3AjoKixKHWbFAEBEJxA8odcPFkZTEIFKlW0tZA0IHRXUsLt5ECQr4VDqH2oGpnp1sJERRm0hoE0T6z7RdG0zL4hvwptj/FBUO3slYHaCNK/Gah0QACWlqAEMUcy2a7mHOaGKvr/IO5ZJuHLxxncxQ5U1XGcQctpwnVa4zG6zuyP0dcxb3nQeVQW0+0ESahdCTRnQfvRVcFhTuKxtp+G6g709ampBrah4TP0S5f5njoSBUaxqhMLRR816SVa9rwAg9b4ZEYjc+zQC3HKo1dQmZbqO7kFwXOVM7kVLwt5M6HoX/i2AdwI4SUQ/AuAPAfyLA+tVjx49elznMLZwl383A7pGQ72diD4E5eQmAH+RmT99oD3bB9oTdqIYa6ORlbsYDHWVTFDg7BbkErOqyNYkcjVvYCJFGmLfrYbUohkF/Z0TOz/PWpobReTTPog1UECnSqltsrI1fnKov+xVRa29hCq/T5xkippq6qP5TQcHEAmnQdbF7LXOs8Jmkhk8S6TtvIhoG244RwNiK2TuvlGyYGyxxBFPZiv5qzTO1Npozrlo7kDbPZaIKanWMjD6c2md2q4/caSXIMe8AsrS8B3ejoVi1NIPrXCaac0qMtFQVDUzEm1xkqzAImlcEMlcbys6WhXLLAVS3yySoAPmCgsiOup9PQvg5/1te/GkX1XMS0yixJnvSW4fHEFJIBR8wVFK9ZKMUvUIFzVbiorTHMQtk2VLvxqFxKK+A91elL0IGy+7uzGKxKdtNKdshIPUa32IYndPYa82LNfU1+rq35m33zxh6u/WRss0jlnsw1p8f7sKo6b291r6vO277xNSlF+UDd/WHgnkqkADapFZOs0IP/Od4HwNleSAs49XX2TmVuoiIbKr6CXkFeRLGvxk3nGLRulqFhRU0XfPHxpqkWXxITj/3l0ALurPhwE8AeDeg+xcjx49elzPeB4ZFvOFBTPfCwBE9H8BeJeOBQYRfQ2Arzz47u0TjYlp0HQRBxSKoVfqSoKIAuvCOODyhFBLuLo3DUqun1RntWwRmua2S360T4cqrMG1xNeHOVRUk2M4ONDLJ/CPN6UompIHNVVloqgospY4ouHi/vDMSoXms5i9vqaxmafJNd2YOXRVUw2qRnQtRxHtOy/4YE/Yy3FBMIOXO4PIqmq6DnPfRWaf2VqytSQA5ZT3UzJMwiqgKSl2QSCO5Iy6SGq/wpyOYGmoGd6LaD7leI3xPDIsOkdDfQEzf7f5wsy/RUQ/fEB9Wj7sg6demCJT5VAYQKGjmkrJarUyL+LJoKhDc7qSbJ/pqSQMidzEEFMdLOc/4F0mQhvB1GHSmOc76DrpzFTjay7Q2Hj6bISJHryhYLWKWiy8AcyUQ4/63RwiCjRx8e6gRW+ud46mulRt4+TdU/YL8LX0vbnfDRRKB+HUtF+ntR60L8P3YbSGVJtQaZOxzjVKVp/zRBWDTG0UXG0vJDO1pLylVE3LSnAEHbDKVgK1X2Ye68b+t7w1VzFDexFUGPHzR1p0FRbniOgfA/h/oMbor0OtnNejR48ez1vUzx9Z0VlYfAuAfwoVPssA3ocrzAY8ULRpH0TgdIRppe5w6VFOxnpwJnVoftcMjLUVkgpCoXccVxLDVMAG+XuJbxPKMZRTxBrtwn7OXA+H5niDo3a2xEdTO057ZBIzpTniuH2niXL7+aCd4/q7v8Y5i3ZnO7No1R5tfkoTtaXP0sn+n9Ggvc9e1xZaAHs5x5xt+z5PlMcz1xne+uyLwNcdlw3xcxtIVqhY0bMDgaAkiw8BICEBkRgnOCy1xKRWKTS9aVpf3fySErxwq6S79dBkIV1t66IXFiF01NPfO+C+XBXsVoxxaUI5ySYV1VLVG2paHc08EEbI5Ikrt5yANDWho3zgwkNF3ACAVpdYQ7a0hak/1RA2OnN8m2Ay+5jQV5I2Cmamqfg3kbhmjR9E96EeHgIzbFa8v5QpyTrsKwm7oiDqEsqpMyswZpKyZnbwuXjMH7s2BP6YMCqrSfDOUDj7ibpZIODnRpR1VQbin5qop5Z6U1aQS2A1U0mTNsS5oW1iicTcTyh61hY28KodGPi+DpVR7zfW4r+ah/0oXksEg7HgSb2pMFcME9EPLmqgyz49evTocdNB+2W6/LsZsMiy+FtEdHnOdoKqvf6DS+vRMhBrHFYbBJgyV5NGhlVnJbO1KBJy8eSGcjJWR1G7hL1cUJBgViYDq2skhjqiSKWy/ewY22G1Jp87aXMALrBA4nY95+5eYtRNVFP8IqTwqa4EnA5Bpu4PSzCNdPfna8idgwIaMLcsSlOElbHc7PcOiX/LRKThA3OsjHlUyxxN29KOAMJUOUeH+ZFtVOwAAOrBmop8a2ibWEIw2wrEaZKh9F6oNGleuzshQrAYwFwqj+e/J23BBktI3uuCvjaUw89g8RqtP7OkvlwhuPlFYg7LYCduop/4K6Dpvzb5iCh0Q8DxrgLAsRU1dCaE1KCoGZk+QSLLBQ/tghdhZn//IY8Ex9wXKroQwJn6TdFYcVuRz8KfyJI6XCjRJt1BCwSR2DpQM9w3y9moKH/bPPh9tf2N6AtZ2fLoNrx4UShx6/muAs3hTXRt9aBm+tJFcOhjZmtJeZFpfulx7z4lk8uQ+SrE7kXVzGDN9a2cqLZSfX9JINF+KlOS0CavMttoKEH6/TJl/kUUYTYjAMLnsjH0vOG4oDYby1bfy37BXteeD1iUZ/HPrlZHevTo0eNGQ/08khZXb6WQq4jGWHgAkBVWBoRdrWBUEkiDBCOnXAqGNZVzbU4bLenIMIEovZLKcCZ8QwDQgs5GD1tXp12blQHMashtyWqyDs/XZFEgsgiMNWKoiLoCZA3OBu39N5RVOnBtEYHqyqOHulJyDS9nm4M7siTazsB23xbLap5m37WP+7Yg5/S7yVLqYGlw9Jt6diWC8vX+uFVTaz3AyykSdaksFrNfOkCuHd5x+XJmF2mYUBhcMrMeuTmg7Zr3gjhqD8005X7Q51ncsCA7OQQvl1c4EEkOCUKumY88IVtjv5SM1JsvEgIGniSpmJGZZur2WlBE1M5vN5nNHROz2h5wO2E0+UUWUFNB1JFooIP8yB8jHKpCrVGh/RDmuy8sODWr7xGomrqs7SFcaXLdri1ZLtJ9+HCAWFD6kVpzj2sSAJayiMZvGZNLl3vSemyzQGjM3I85+3mhtOYQaIFkuiYbjjOF/koJzrTfyawKWeu2yrHyYQDIRQIWKdj6/eAS++CKCKp2GiioOJNb9zm4v3vwe+139b254L6QYI8ePXr0WIDesmgAET0A4KcB3MLMLyeiVwL4emb+5wfauz0ijPjwfvdKbSf1FInRfpLMVr40C9DYKKfEtVTKMDqq8dz6HJlwSWkoysUx4120JHNtLbHuM3RE17IgLN362A0aqjlfculp2z4P1wFZKYsCAE23wVJC1Oo7J7ndBmZwmrkom/EmpNZKASjOTh+nxsnrv78i0ALHs1+2I3gGOloE7c7vDuO4yFLo2mYLBdiMZmqNY6t1D/0KEh8FwH5kVOR8NpFSisqsXB9KcvceAKc5OFeldfLErcJHslbWhKGffOs/hj8uLBEHhXR1dh9MNVrufRYN+BkA3wfgPwAAM3+ciN4B4LoSFsCsiRk+6CG3PUgII80tFTWjqF1S0SAVipMFMMxSSAgUxuaMTGP110RKseLx7TnD8NSwc3MmoznRLPF1zY2cidHUd9O+z+ky2wgYsLQ0E5noL90OF7p0uX7xKa3tb5QPgYkEGUeOSIDRhto/XwWqyp1TVs1l0uM+z8G81fT2cmynAoON1SQNJdhAodjGW4T6XiadliTPmQzxludlprku42Qm5WLsHSjVs27a9qLPAICT1BaeTKowas5/3hoj4vaYcDeTfHgVMrl7y6IZK8z8xxS+IFcUh0ZEPw7g6wAUAB4F8O3MfImI7gHwaQCf1bt+wC9i2KNHjx7XA5gR5JXc7NhLIcEXwASOEH0jgDNXeO53A3gLM1dE9C8BvAXA9+ttjzLzg3ttsH2Rn1CbM07V0VAg3ToLABArR5RD22go5cQeJ4odVQdHm9TKI+hZFMw2v4B0hAiAWU25q4baiMgKaCrjoL9z0zEz59UrrFlNLJkdPxO5NL4MUSoagbMRqC7AE0VFcFkqOqnU+RWeo1zubAGyRq33TTaOgazzW+ioG22hCBFope2VZWU7tTcvYGAPaKxGOy9qLDi4hRL0aB3b3aZju6DNwd9WtqSpfe+aYkc5k7BJkzbBdLKlvpuVEe3O7iqoKoHEs3Tqyl2j9IIZ0hwIAh0Yc1eGaLPMfYrsKlgSTbgaNBQR/RWoxOeXAHg9M3/Q2/YWAN8JtYDh32Xm3z6ofnQVFt8D4G0AXkxETwF4DKry7L7BzL/jff0AgG+8kvZgkvJmTzT78uuHNhlfci9xsaPWnjCTGeDCPOtKvSDmBRKpJywE/PLPYroN1qvIzWAvkTAzk45/7GwYZKOgbIqMaaHpmNV1+Mfal3vqwoQJAEuphASgeGdZA6kWJtOxpaGgo1xIh11yWYK2VbFiWj0CZAM3aVQeD51F4zfHHxNExywInW1Fw0TTOWJmLpXo+13EXCGvTroPXn0vfhb2fAT+sdof1nbNJCvQ5jPqkCN3uHfGRENV7juznlLSzNFU5vSZUxRmryEKoW4TAv6YBtiD0Fhq6OxSmlqEhwD8JWg3gAERvRSqgsbLANwG4HeJ6AFm7r6mwB7QtZDg5wB8JRGtAhDMvLXkfnwHgF/0vt9LRB8BcBnAP2bmP2g6iIjeDODNAHDnnXcuuUs9evToMQfs1r850NMwfxoAaFbZfBOAX2DmKYDHiOgRAK8H8P6D6MeiNbj/l5bfAQDM/BMLjv9dALc2bHorM/+a3uetUP6Pt+ttZwDcxczniei1AP4LEb2MmS/HjTDz26AsHrz2Na9uvWvcQiFQObH0kdF6rDbta6VJCtSl55BrcL7p3+RgbXkmcRcnX6SxNiKKZmna1uhg1pYB61wKAMBgCIgElGlLooTaVulxlDW48qyOGNrZLWQFKiQ40Zqn5wyt0+F8q8CnH+K8iraAgj1aGHtZV7y1ndjZ3ZQY13L+ef3tWgqkfb/4uvQz0NAO6YgnnirHNpVenSh9n+OKtoC2vmVtS81yElvjLbjSHJcF78kyweC9OLiPE9EHve9v0/PXleB2KFbG4LT+7UCwyLIwdaFeBOALALxLf/86qDUt5oKZ5y69SkTfCuAvAPgK1usxaik51Z8/RESPAngAwAdbG2o+eevvhuZIL56GHCg/BJUTRR/pzGxKwqGxSWdN54nrEy0D8yiV2BRfxovgT7pRmC5XJSDUdznZAeVDFelkkGaQu9rYrFxtKAgByodhxNRERVNxon0b2schBivgXCd7mYl6v5N+R99V8HuDryGgL32lIC7W2Br2ueCezcOcpDqfymoTajO+LD8LX4cYzyQhxjSVPj/VlYtw89oy5/Yj2mDuq+nbIgrRu57wIufUKWvDvFprBxA6ywjXxFmAc8z8uraNXRTrpsNaunUg6FQbioh+B8BrDP2ky5L/8pWcmIjeCOXQ/lJm3vV+PwHgAjPXRHQfgPsBfO5KztWjR48eS8cSaahFinULTgPw+fc7ADy9lA41oKuD+y6oEFeDAsA9V3jufwdgAODdmtYyIbJfAuCHiKiC8vB/t158aTHmrEestoeUhRyuQ+zoposx6tVjLpqnKlTUBgDUlauNo9uZWSlunkazDFpqH5rR3FLdDdutpqe/y5Uj+kMdqCs82QXZ9ZdrkEjsd1nuOC10uKqorIaCWdZpLjwLwyykE8XrL6Rn5mjhrYg13qbvTdFClv7y9+2QXGa2d+6f5xiP+2t22e9zxTJYJXG2nfZ2qa6CysJBs9nABTUIQPrWSxxt1UKHzqLJ6miKNuPwb2Pnl1to/jrIs3gXgHcQ0U9AObjvB/DHB3WyrsLiPwP4YyJ6J9QYfQOA/3QlJ2bmF7b8/isAfmX/Dc8JF0Q4QcrRBnDuSQCAWE0UH2uK3vnF1JhdJAcaJmE/mqOpD619nWdSt5vvrfu19s3bHh/fJEhjmkIkQUSUGK2CRjqM2P6u+esst74KLiY2SspsY6G32SQ+tZ2kG19bP2pecpvf/4AiWjD2pg6RiO7XPFqqaXIzuwbftOBYxqQUX3uLwOycmRyPjd+G+alBMLFIIaqpu98eOMkUddsQucRJpp6jxPn5/DVFeC99D0465/leJDwPYGK/GmkWRPQNAP5PACcA/AYRfZSZv5qZP0lEvwTgU1B+3+85qEgooHs01I8Q0W8BeIP+6duZ+SMH1akePXr0uN5xtSwLZn4ngHe2bPsRAD9y4J1A99pQdwE4B6/DRHQXMz9xUB3bM/QCPY0JVTP7ehqjdshxpes4edq0jebRdW2aokusk7FrHxfuM6s1zjtqriUxz0nu/xa3aSKjNPWWHDmJ+rmnVJN1DUozZxEM14BqCtbRUVIIcK3HbbIDSOEoPCEc7SRrm38BKAtDJl0N3bjDUR7JvHvehnka6pwxa06y65qjsU8LZD+0m39cfKyJfPJ29a0AKnZtQAMz222c5soCN85zdiU8WKT6fjdHEC6MNusYGRbgAJzY88/HkM+jpfK6vp2/AfcujADcC1WO42UH0an9oqle0gxH7z9Q3oSISi2Nypo390tr+xRU3Kb6oX0Z0IWrs3VApwSuNiHh+wy6+k84XFWMvEgw0qGzpky1HG3YKCa7j+GtP/vfwNOJFchBGXQpwbKGMDRVOoAcbkTX4PrdKhT3IgRky74xNbVIoLYIlrmr8e0l4sffNg8xndP1vPHv5r3wlSizCVBKk7l3RPYdCcJkoaOhzH5Jg5Doij0IioMpENgNe4yGuuHRlYZ6hf+diF4D4LsOpEc9evTocQOA0a+UtxDM/GEi+oJld+aK0eBom1nbN9ZERofUX1mrelBGo05y8CB06nWt4uljLxVhF9a2WrQdCLRna135h3VV9HwrhARoqHJTxPE7ABKQq0fVbnYFNS/qxRgSd78MYrKF+vwzs82jVFFWOi9D5iMgDiJos5biz77FIESzNisj6iMaJyYRWhh70Vg7PBfzp5RFjtk9OHHbjvPRaOU0W1O29LelZ71rLcbAwOVZsMlBAVQEYZLODRJozbPouN/SSqbsF4yehooRZXILAK8B8NyB9Gjf4GaapWmS8f7KkUd9RNEbM/CjPfyfO/bQTEqdTecuk6VBG8WCSGDFuzXNPWZy0Ndbrx0H6XGqh+tunwWQww3IlSMQO5fVuSe7brJJszCBzysst3C1O09AxMoAI7VZw8El6ePa7lWbIAGwWMA2KCkz7c87fEHzc4sPLupTk6DpQEfOrI3RNjHXRRhN1bTiYtyPqD/zFKq2Uvyt7XcRkEsSKMqyWEpTNwS6Whbr3ucKyoex//DWHj169LgJ0K9nMYtPMXOQsa3L5l5RFvdBYUZ7b3NYcrjgT1C/Jtp/puRDlGTUeq6W/rWhqc7OXjWheRrYjBbXlHdgrs+Y/9lwxsnfqk37Wms2VGN86/3qFM99zkvGk2BRQ2wcAwDItKWcin+uDqC6VOXO2yAbSlqYY9uOqds138Dq6BpAYE84q1nPIGozjiLak4PXv2dN70RDW1TshqvQVaVNwESaqbLktavvxdYR3i2QIjg/Ol5PFzp2r/diH2BmtyDa8wBdhcVbMCsYmn67hqBgEm9dbjGGmY/RwnWb1nlRqJ+eappW/fKxQBNp2tqYSBe/MHPkVdsLOENPmUlWVuE5ZmiZ+RRd3AHr+1k/DpFvuw3pwNbm4iSdH7nW0nbTdiqnus2sua9AWOTQnnfxiz9zL2YEiWw/Z9DQHvwi0aTaPft5wfnbjmcXDScmm+q32hUNlJkiGqgya7fod62c2mVUZ9pemDDXYb+9CpL43V+y8GBcnaqz1wsWVZ39GgBfC+B2Ivq33qZDuMKV8nr06NHjRgZfpRLl1wsWWRZPQ1V7/XoAH/J+3wLwDw6qU0tFRB8FFNU8q2MR1RRoLC0ERiOlFX2fMQNM1U73EMax+42L0/uUVeJ9hraagEYneKClBtsbchsMat/K6qBJG0f5oVsAPmHPRSxDeqsr7RZfR4umTbJSDu+gL6aMRtPxbc9CWIU13NZAEcXRWU3HXQn2qyF3PU5KGF2Q0yG4nLpgBCEhdi/pzwkgnEXIQ+fabExUnWfNRH1rXCRqQdTUoqCUub/tE72w0GDmjwH4GBG9nZmvf0tiQQKSqXcUZKfKlsvy95t3niZB0XJcYynp5jNAL0nnfU+sAGkSXMHykrFJb74nsy9ra/DIgsktCGeUsj2qKv5ufksEuG3sO6CxfyQAYlClS6Inq7OTTcM4zSTT7Tc8lRpWnGvyCV0JukyQ5veuAqpJSHvvCEjYjH2uSldDEYBcPabovribTfd+0fkbjpsbLtskfPx+t2Fp0VDcCwsDIvolZv4mAB8hoplRYeZXHljPevTo0eN6Rk9DBfh7+u9fOOiOLAtNmgn5GiTgtA6RzK8h1XoSf1+jyczaCEHl1uB30v3h+ZFUsSlOTfuFDv2m6JlWzbGBsmrryr7QRPN5GqDYvQg50NRFmrfSSbGzfSbSLRpD9nI2WkEEO3b2t1gb7phBM0cznrdvgL1E78Tj0vYML9KuO56P0wxUKXqUBpk9jxxthKsrzlt8qKMVSUBrtBdH1n5jEESHe7GsQuWSgaLqo6EAAMx8Rn/8O8z8/f42IvqXUIsXXTfgFhN01iSSboN/TOwX6BKiF52TNRUCAARdrnomQss7tpUHih56v2/Bji0+DwAwwsibXFrppbgvDZSVO+UeX5Cmc8oKnA670TPzoqKYYceAVG2vubWS/HpM8eqGe/E9mebmTbjxtXWkYuZunxfhsxfqybTlt+H7oXQ4LCcZqHJKD4sUVI71tjwYM6qLoC1/lTyqq/Cexe+FcMe1ldGfG9nYIDTaIhj3vQ5IA55PlkXXUfuqht++Zpkd6dGjR48bCcZn0eXfzYBFPou/DeDvALiPiD7ubVoH8EcH2bErwjxzfE6M+txEvo7noobfrEUR96WpLfK03Mgi8dujWCts6lOc++HTXhyVvlgUGdbV6oiPa/vOUq2s1kYZdXbOelcha3WKwOqI9vX3t2Pd7VSAdy/mWURdNNd5kT3LsECa2l30e9O1SRmuWjjdcdtFMvtsmPW5K4S5LDwbXWffCxKANM9qwzPvWR1z4bMBxjEfnWuZYAaqm0QQdMEin8U7APwWgP8dwA94v291Xur0KmJ/Rdxajl30Mnd9ueO2502C3oQd0Fm0Bz477k/QT39WDLPSF86Xi3jxLpN7A+ccvMRm8mjit2PqyxwXJNdR2I+ZPglPgM6JdluEtmKFfr/2gv0Il722vRd6Kn6+vUmYhIBcP6l+9leTjPvIUtFS805jdgXgsmMVdesrQ+4Ucv7Y+2hS4g4AN4vV0AWLfBabADYBfAsAENFJAEMAa0S0dl0tftSjR48eVxF9Ul4DiOjrAPwE1KLgZwHcDeDTuM4WP2rTnhpXAIsPjZy/M/Hdi87dpd0u2p2v6fu5DDQn0uRKTGxjyfg/8Zz6Q3vVqNuuWSRghM54zBsnW4pE901XB6aqcJWCTaRUUxSVbXcO9dQ1F2IevbaXyKiojb0u5DOvgvHMtkXWcPy8V8oqoHIMKsaQunKwGK26vAqhtH4ya67TrNbf+uy3We4kwqgqjy6dyelpuoY2y3Iv0WYdwehrQzXhnwP4MwB+l5lfTUR/DtrauNEwTyDMe7n3IjzmJvMtmhA8Gmom5JfDfdRnWvwidoHXt70kRnUJFW1edyCMiAFkJLHm0IDecp2cpy4sUyCo1dTYjtfeomT6uVx5FwGxx/uw14KUM8c0bNtLYcrAt2aevWIMqib21nBVehFlAkE0Hnk0X3QZgS+vyS+xH1qvSQAs2n/RPnvA882y6DpqJTOfByCISDDzewA8eCUnJqIfJKKniOij+t/XetveQkSPENFnieirr+Q8PXr06HFQ6KOhZnGJiNYAvA/A24noLJZTSPDfMPO/8n8gopcC+GYoius2AL9LRA8wc93UQCM6ag570pAjxLVrulgljTWdOvQt1oLDRy/WrBosjaAzcx7cjlTSfsdq1lrwciS87dZx2qQJzzu1oaiiexOes90BHjhV4/sUX8Ne6aauCX52/7ZFhBru35z7PbfGUoumrfIeNM1X7ABJBjHS1YHzVRXFZiAEwCbaLgzQIHaUEUsE9+VKLLDGFQ0PINppEVTV2YOnoYjoxwF8HYACwKMAvp2ZL+ltbwHwnQBqAH+XmX/7oPrRVVi8CcAEqnjgXwOwAeCHDqhPbwLwC8w8BfAYET0C4PUA3t/p6MjEnccDLyOcrrGNFgplIY/s7bv/DnmTieV9r1CzmUcJxbvuRbDEE6iXJDcTqdVGofg+iog24ng/KecLkrY+d6UnG5+FvWeBz0d8/dx8bMfoNLt77G8wfqAkA6cuxFmuHJ4RmHZp3bpy4yqEKmApvXvo+zba+tq0rWv005UIoP2Ar5rV8G4Ab2HmSidDvwXA9y9Fsd4DOgkLZt7xvv7cEs//vUT0N6Eq2/5DZr4I4HYAH/D2Oa1/mwERvRnAmwHgrjvuWGK3evTo0WM+JAPTq1Dug5l/x/v6AQDfqD9fmWK9RyxKyttCzHroTQCYmQ8tOP53AdzasOmtAH4awA/r9n8YwL8G8B1o9h03im9mfhuAtwHAa1/9IDfFzu/beujiKOu6/37P0wVzKacDOF9TG/OiyPxtXfsRleFYmA8Sa5StmnZlNd3G5yJeLbCtrwd8r+eupDjzS4Ol4Z+rgSZtsqoCaojI0lBytBHeXxGXfPesY2NN+NsSZ+WR6dui96cpcdLHosW3mnAAlsYeFz86TkQf9L6/Tc9fe8V3APhF/bmzYr0MLMqzWJ+3fRGY+Su77EdEPwPg1/XX0wDu9DbfAbWuxuLzzZ0ounSk5YGdyQTe44Pnvbjzwh3bYI5pfOF9Gqatfw1+kkY/wiI6YF77Ha4pSLYjoSYeL0lu5lxREiEwK//irPiFJa3n3bo2AbFIAWmN5Fkw6bW1NweLo/J8nwzPvfetK+6JzAoFOdoATXdm7l3wuW2b/z1JXftNj0r0HCwU5ovO1/B96Vnce4uGOsfMr2vbOE+xZuZf0/u8FcpX/HZzWHOvDgZdfRZLBxGd8goVfgOAh/TndwF4BxGZvI77AfzxNehijx49erRimetZLFKsiehboap/fwWz1V73rVjvB9dMWAD4MSJ6EEoSPg7guwCAmT9JRL8E4FNQUvR7ujpsgoSsvTqKI+2YRapq3wCwqtCVOopN2/vQcFqdgrLCzMpscYRIQ8RIWGohROMqZ03n9ttssehaLSlW6zw7WiPSiNuwF5qxK124QDud68Re5MBeFi3aghlr07/nM32L+uJ9Jna1m1jWoaYvktaxZBJAOnTnD04QRpGxudW+Izy+Di/5MvjunXPu9+j3RfTbleJqOLiJ6I1QFb6/lJl3vU1XVbG+ZsKCmf/GnG0/AuBH9thic818/wGJ1kLgJG2NsiGWYPN0iwQzUUZdBMcyH07/oZdeuWezPCl5L1m8lGfTNeoXubEgoZk4ulAnewldjOkqLTCC9uL9gb1NyCztvZkpM98y6e97RcR4n2WijR6Md2vb1nTPY2o1HgNf0dKhu5zkwEAA0217PtbZ3ZyvBKecR88Fz1OSgmOB4UeyRe9siBbFKDpfcF7bweUKi6uYlPfvAAwAvJvUPfwAM3/3lSjW+8G1tCx69OjR44YFM1BfnWioF87Ztg/Fen+4eYSFlKBivKdDKDa3PTAJUGK09wYHbkS/NDqMW6yWfSHWkPTiNLYkiG9Vxadr06IXVfCcQ+PMJCN2tTBa6LSF9bu6avDMbizm9H+GWlqwlvqV5u34pVsaz9/WX7N92RRKo6Xk9cNbJIpFCh7ODXzcH6wlw7a+lKN+9aZ5NNKcukzBgkpAyCosbSwZvCRq+kbAzSMsAEefxD+3vOjK9NZfoiXGCTVQl2FDbeWthVA1+QFApM3hhV4f94OAUonpNlkH7bYtO8rk9RMAOHFF+BpP2uyH2KuAmTvRBhy72y/MoA5Xw2s9nxEUvrCIJ+Um4QQgLl/u93um7z7V5d+LwM+FWX9N1wSz+LpajmmNZtov4pUDASc0RBJ+1+fr7Afwn9+60vfJLy9vaNQ6EGQUrYkx7/77fYmXZz0QgQuAb5JSHl1wcwmLHj169LhaYED2wuLGRJuZ2ab9+E63tqggi7jNaF9rTYgEMOUPSLh/aKYp4vpUrZpaXah1jE1ftMYVaNJxn2dOFp1fpGBSNX+C1e9sh7ppt230yzwrb2Z7mxVjP5sPof8ujoCjqpjb78Z7AISUHKkcEHOPZxzlLZ/tGtTWkRuuUR33e4bCa8M8q3HucUucyLyEupkcnzYK0tfmjTXht9cUQMDcbHGYz35wSRfL5qBoYahH8gCMlesWN5Gw6BANZdDgX2gUNG2TQkObZlUwJmEXtLeUlDHhDY9q6uXELxqJUNAYlBNQXYLKXXdcXbt++Zy7vy5E3Mfo5fSFE8+jSOa9cPME3AIESZTRiz8zQbf1h6W77x2KurWu/yABS3UJ0bxanz7HzIRtBDfL8H7LytZUstdqblNHOmpxMcQD0mznCSj/XfHGozEhsqGvNmRaj1OoJEmENFikpMmWvtgdvHc6Pv4gaKjeZ9GjR48ePeaC+apEQ10vuGmEBVnnpmxd8axRm4stiihqBUBzglCsxRqtyadJqFBlDozj1tekAUB6prmU4DQHy5Fqzl/fuC4hptugauq1HTqGbdloKS1l0+TQ5zQL+21MfhLNVFR0Pluiw1yvWWe5SWszlpW2etRnQ8kRSNaeRUdg1uMkK70antfXNseq1m7t9e7F6dtGicVRNjNtcvic+DSYrGxdJbBLbqQkb89DaHrm5p17HuZo2ns5rpXu8pJA4/62BQGY7+5Zr9S9bbpu8x7HVFdXzNl32Ul5iobqLYsbD8xApaOXZN34khDCSAt7HLDQz6Eip1w4YXB8PHl5E6v1MzSdEwheICrHYBP+m2bupSzHaoUyI6yijFoWqaOl/L4besCsTSAr0LQI+0I77vpiDll4vhazMl06AGdDlawFgJPccfX2WO84drQCBb4VVsfp35SvwY0vRfcviKjq+tLHlNxMJI0v2OckWjY9Gw2TGWnBxYn33Rey3nUEkVmNFOiconvLQBOVOo+KNX99Gs5E4TVF+5GInlPh+fVSkB9pGAsjvy9Stt8X7xmdQRMluewxZUD2NFSPHj169FiE3rK4IcGzGm68RzqYpRDaHJkR4uqmrlEJrkqwoXNk7ZzUsgaXxayWo7UhShK3tnFdh/t5ESEMKC0t07SMSMLkpSrMB/H74rcrK8+qaKu9A4BEwypt+jcSAiJxEV8kBFhKwGubjZWjKUFKkqANAGpcvH7TYAga6sisiL6CEDO5Go1JbV2S2+b93kXjbKIrzVgaK9MmmFWBlRUHGASabpQH0OqIXxBQMHdhoQitVJNvOUXPrqKINAVZTVQirLmvOxchty4BAJLjty2kwDpF0c2xDANrfxFi639J6IXFjQiW4GLiRaLoCJV86JaIrKZ2cgf0JBxPrD7mRdeYVb98QWHgT95CqD5o1M89Nf86vAmVjH8hzUFZBjJCKPKdcBVRS37/hbAvME92wGXp+pUk3gSdgLx2WcpAYNm+iMSOH6CFRVW637xjiufOIhnmEN71u77V6pxaAFI+tONEg5H6bq8/A2Xm2hPdfROems36U5qoiTm+rD3BFwxA8yRkJ1o3mQlZgevS+WHSPBQkQb2vCjO03rzERg+xMO3E0xvh0EQ12e1OQIjxJgCgPv8MZDGB3LqoDtvZAunlV+V4RykA+h6Sr+B4ypKFr0hEyor/XEIk4Vgs8skEvi39zi5pKVRmRj0ni/xmw80jLHr06NHjKuOgXErXI24aYcGSwdOJsygGSkvlwv3GdQ3EloCnZbCsPUtDhpZGVTiNJLYkImvAaMFiZR00GKJ8+nF12Ob5IM9iIYwGNhhBDFeAgaOOxNphAMpSYSkhtEbH07HV7oxVwxPlxK4ub4K1JkQ68qk4rcrf54dWkYxW7HEXH3rY7jM4vIbVB14MAEjWj+DSf3sv0uHAtpMfO6rGGcDk/CbSkd4mBM59/FGMjh1Sxw5zrL3whXbMyrNPY/z5i3abOU5kKUSWOksjy0Mry7c00sxZLvp3u69vdeyFsjDWSWxFAM6SaKI0GjRXv3YXl1MXGeZXPG7I+wlKxuj6TOqa5pSS8X9eNIvFlkNsTZj3qC5A5cRF4tUlytOPqo/nn0F5+TLKHRWUMTy2YS0+KWt1Hwx96X22FqWlNn0LQ8xaIb5VKWVoacSImIXgnfXngSWA+wzuGxRcQ0523EQ+8ZYNN0tp1nXw0ADew2SEgXmgfF+DrMGyhiy9aB49kYp8CLG6jvTUver3wRDVWUU1lWceB+9cDh7ganvbnjNbWw0ETXLkBMT6EXX+qsD00U+pcxQTkBCggQqrhUggty+pJrcvASJBrSdrSjPw5nndRhkK0ETYfpsXbnhsw45Defmy6vfOGMNjh1BPFL1VbO2i/vjH9fWmyFZHEFlq25QTV2J/eGzD0WWyxsnXvBj1VE00k/ObuPBh1U49KVCXFdKhFqyTAsXWrr68KLlLuH6LLEWSZ/b8Ik+tsKDRKsRwxQpLRWVp30qWWUGjG0V0Eo9DFyq6zJvoLTSd0Uhl6GfLTEaUJE4xMTSfmSDLhj60IAg5TjMXmWYyxLuGx/pZ/5G/Lg4VN4mlXExAaYbq/DMAgOrpxzA9ew4AMLm0hemlbXtYkmVIPVqGEgHh0Zc+5cgisfeCPeFAWRZsozRX7yI0bSUSzNC++trm0chcufe58fh9ovdZ9OjRo0eP+eBeWNzQkFqrNgg0QO1U9SN3gqiiSDsxmhDSVQghMPnc5wAAo1tOWC1t8IovRPX0YyifetSdw5y7LELHnayRaE3afK93lQZXTwoUjz2J6UWlqRVbOzj8gFoxceX2UxBHTkJoZ3TxyMcDiso/r9wZz1hExkJgKSGLWeso/pxkGeqyhMjV45EMcxUBBaXJ+5o+JQJcy5De8iwwWVZ2m8hSDA6v6evbBXYmKHeURZQO86CNZJhjpK2eyaUtyJ3KbqNEWOuDhHD9zDKkq0Mkq+ocYrQ632keR2k1RYGhQRP177EfxabH29AqHAQ6JOHKdObZMuddoO0Gz6XuN5ljvUi1oE2vr1xM2ukXqZIHTaCEGK1Cli5goTz/jG2bksTSTtXOBLIo7Tu288x5e38pEUiyzN4bkaUQlbZGy1JZEF5EnR9BSFnuSoFUhbUOGVAWXzTe9hqqwgVwmHfdt+z0uKW3+CuRXgm4z7O4EVFvb+PSH70P+aFVDG691UX5THasGSvWj4AnO9h54jQAYOWW48FLJTaOIdk4ZtusNDd74SOfgshS5IcUp19evozBqdvVec+fQX3xrH0Q7cOq22RZo9pVEyLXUk10HoVjXibWXKzUL0I1KXD6vWpZ8tWTn8faXY9h9VbVt3Rl5BLmpmOgKiH1xCSLyr68sqgga0efVZPCCgtDAxmol9u92JQIJLl7POxkMRH2Wky/pScs/HbNb4lPGenPXEuILMVw1UVKcRRZsnv2oj3H2u0n1LWvDrF75ry9Rl8AyqJCXZZItABKhpfVWEFRVGHElUdRpZlKgpwHcz5NZ4R+r3ASbpw+In7e+HjsMRE92nRu11ZH2kkkNjJvlqLxOHwd+uxTss/9d0UXDo8dwujkEevP4qrA4Mi6uhb9LBv6sJoUoMvqczpSwl/o8ybeM5LoW26X9hVJuMyvSAAzPl5yqkEQGu4Jh6ZoSBv5ON6BWD8MACg+98nFY9cBzIDsy3306NGjR49F6B3cNyKIIPIUdVFi8tTT7mePXuGz5yDrGommAHaePhtqs08+47TyWlqqY3TiMESSWApJ5ClqTXfZv542Lb3PdVk6LTyyLADYfcudCYqtXVTaxC93CiS5NptXRxgd27DXwrIGT5TGVO1MUE2mlmqqxoVtsy4ryKKM+uN9LmrUpbt+kSj9Lh2myFaHSHTE08w41i5SjKXSGCt9flnUKHbU57qQtk01bgmyoaG2MqSjHJnW/JNh7q7Ps1rM960nnrXtVJPCWisrp45i9b77AAAXP/oQ5NautYJEnloHejocKIpqoCO1RqsQK1pDHowULRXlAQQOUV9Dn2cFzEGcuxJo9q1WRUPknR995+fGFJNQ0/YoMXVcVNvMnt/LSQIgVg95z5p6nkWmncxpjlQHzcmiQrkzsfeiLiv7HAKzk4tpU5YVEpGAa0MlhlQwqgIMbfUBkPUk2B7k9ERRT2JFXcP4kUdRF6Xtj3ruP49lo686ewNCpAmGxzZmQkNnEs3g0SPDfCaqxZ/IY/gTpp2QJwWqydRy7/WkCISDlHKmT7Y/0aRbjQsUW6qdalxh/Y7DAIC124+ryd08+JPC8sblzgTVzgTFlg6PDc7PkLW0AsEXjMbXML1sIk0IdaH9HoXaLx2psUiHqf1sr79wk5isORAKsmZ3viSx38vLU0wvq8goIQjDI0PIQ2ocjS9E9SVBPZlaAQSE91EkAlM9/ttPncPdJ44EY++Pc6mvWZYVyp2x59/YRKopsGS0omgpE4KrI5eCZ6Nyfp9wIKKQTG8Slp7PwvfrxO3E9Jsag9mIMPO7H4lH64et8Djz7j9wdGhdY3TyiPX7iCy1105CqCgjTxCJ0aqKnANQnDltFSPz1747xcTSfuXO2Corqm+JVUYoEagACPOu1dL6vZpCX037BIArOOHs7xMlfqan7kH17JNq23gHxcVLqAtNx5YV0uEA+ckjjeO5DDBz7+C+GiCiXwTwIv31MIBLzPwgEd0D4NMAPqu3fYCZv/vq97BHjx495qOnoa4CmPmvms9E9K8BbHqbH2XmB/fUXi1RaudaXZbOkVtWlk6Sdahhcy2dg7mWSCIHrG3baD3CM809h64sKuuYrifT0LLw2hGeVgjMajuyrKx2v37HYZsDUe5MAo2Za2ktmXJ3gvLyDsodpd2VExd9VBdSWze65ISYXbWNtEVQFzWqsXGEV+CarRWQjlKQPlZdQ3s7SZ4E56mLGuXEOKDdeBiKzVg9SRaORTWpkGrKKlsdWGe7uWdHXnI3ACBfX8UzH1CBAIY2S72gAd+apEQgke6+GetM5FtIsiygGWOLNNb+faosvN+etp4kQdSYyFK7b7a2ave79PATkGWFzFg6wxz5+qptvxpPXcJinuK5jzwMAFg5eRgrt+6iuKysSllWSPNMj2eKelLYIAFjSZp+GovYHOePX76+gsERFdWUDgeBVSuLylqxu2cvYXJ+E0f1vdg54yIR/eAJ1U4eWuZVaWtoqVwObcHoMjRBfTGfihMJsrseAABUzz6Jcx/4sL2+bHWIVNNQo5NHINLMWk8sw2tYFpaZs3G945rTUEREAL4JwJdfSTt1WWHnmfOQRYVqMg0igvwXlrzCdpQI8JZL2DMRSQYxbWUnYS8c1F6HN5Gzpl0oIXDNbkKeMESeWI7X9Ed9TjA6eQRrt7tbYs4hUaHwzun7HurJVHHFpaGQ3ORcFzW4Ztsf3w8jaxmY0GZfQAkcn2YqdpzfRUVJuX4nufmrxtTQWuG4ufMIvV+SJzoE1gkhs818N+MmywqTS2piXz25jhMPPoAz738o2NcgGQ4sfeULWKFDbAPfi5k0JkUQjmvQRJf4z5I9pxcGm62OrNApLm3b/SbnlS5khGX8XAqkqMY6CfLyLrafOqf3K7VgUxN7sVOg1jTh+U89jXSUYnRsVZ/bRZaZts0EGUzU+h1x1Gmpnx8Vtp0ON5E9p9pKV0dIh7mdYIutHUwuKmExvVxgdGRorzc/tOoEl6aDfOXLUESAuqchVRz2M3jetJ8pueUuyO1LuPDe37NjOdTVAUSWBmMPAPV06iIBx55fz6M3rwTMMizOeUAgoh8G8CYAEsBZAN/GzE/rbW8B8J1Q6w3/XWb+7YPqx/KJvL3jDQCeZeaHvd/uJaKPENF7iegNbQcS0ZuJ6INE9MELu5O23Xr06NFj+WCtZHb4d4X4cWZ+pWZbfh3APwEAInopgG8G8DIAbwTwU0TUnCy0BByoZUFEvwvg1oZNb2XmX9OfvwXAz3vbzgC4i5nPE9FrAfwXInoZM1+OG2HmtwF4GwC88tbjXE0K5Rj1IoKMkxdQ2Zay5laHc9B2g9PRaHTsOY1lLZHkCZLMaMx+1BAHzl9KCEmZQGYu9jwd6aiPJFFRRbWvmYcRR9bSqB29Uo1LVJPKUkjFTmmprLqUqMbVrFMWTmtuckyLhIA8sW36CyuhrgONvS4JSZa4sZHSfjbj4WvoUrcpEgrorMEhgoBXBt0piCh3CpTb2rl/WFmQMbVojpte3AprM3nnTkc5hLYC0mEe5Ls0jY9PUZp9TKKZoXd8SsPkG9g2EuGq43q/AQgoKdb3M6BHzf0ZDiDyDNkhZT0MJtPgnCp3xVk2RqOvdsaog5yb2lqfxoo0z0mxEz5DZj87Dgm5oAXv/iprQeKRdz8GADhyzwbu+QpVQ+zYK14IGq1i608ftceZfKM60ux9p306HATO+OyWO60Df/fTn0BdlpZqSvIwN0Z60ViVpoPjnB+z33LAV4WGiua+VTi//5sA/AIzTwE8RkSPAHg9gPcfRD8OVFgw81fO205EKYC/BOC13jFTAFP9+UNE9CiABwB8cO65pLQvSD0pLRUDuMgdX1AYmEnfTFw+3x5z/b4zy+4PgWrsXrSg7aIO6BQlVISNLErK2tILTb4Anz6qSy/xrZA2PFUWMqCNgs/TGrUX2pcQQZATXFxzEOXkC7okcwLQn3xlPevQqyYhLefoFT3JaGHjC6Ziuwz8JHVZY3DI+S/SkZsI/BDfrdObqCclzj98AQCwfWYb5VRn06/nWDu5imzNHWvunaG8/HsxOqZ4+Xx9FenqEOm6iglNRwMkw9yG6z7xXz9l/SejI0NML0/t85UN0+C++YJHJOSUiGGGJE+dXwWz1JCZ2Kqdsf1s7iUl7jpsOLCmiPxIKT85stwdo7B+vNoKB0DdRzOmdaG2FTta0Iwrm5lcM6NmBM+Rj4QI5vIvn97CZ37lo6pvv/EQDt1xCEdeqJIpV08dw8qtLuHVF8B+DSkaDMF1jXpHUWKbH/1o43nNNfqh7oBLAFVCrQpCZ50wXtIEz3sSFseJyJ/D3qaV3U4goh8B8DehfLt/Tv98O4APeLud1r8dCK61z+IrAXyGmU+bH4joBIALzFwT0X0A7gfwuWvVwR49evRowx6ExTlmfl3bxkUsDDO/FcBbtY/iewH8U7gk+KBLXTu0V1xrYfHNCCkoAPgSAD9ERBWU0+a7mfnC4qbYmvOAi65hyWBrBQBImik9KZUjuG7QnGvtpPYdtUZL45pRl3WjCW9gtNJ0mCLJkxlrxkAImkl+8/tWbBsTu0KlNdtiu0RdSRTSaYI+ckHIPGe0cSIbrdfXWI3mH+RJqL29PmkqTzorJ4bT4AzF0PRMq7ZKo81OKpTb2imaiyCqqi6lvfZyp8RznzqHy7tq3wuFxKYe88mlCYrPu6C61UQg123kguxnACgkY1uXaiiZUUi2Y5cLQkKETFthG5nAUT1uh7IE2VrmqEXhOekjyzHT9xsA0rJW470z61uri9pSpICm6LzoM5EnHm0YPh+Bo1w6y6LcHaMaF46S9AIYjIVNXnCBD8mMsW5nXIfPVeKtP5+Q+mfGlWu274GsGRceuYCLn7uk9s0fDc7hU7fpKHXvyChV4zbUdOEod9aYRx3a6/eTYeOyIA3Jo8sEMy/Nwb2IhfHwDgC/ASUsTgPwC13dAeDppoOWgWsqLJj52xp++xUAv7L3thDUKPLhJuDZ6BzzMhsR4r+w/qRZly7s06ecDD3k0zMxVVN4E2KSJcGEbfvYENZqopXMi97EG6s2BIZ1A0WWkI1eUucQgf+ka6ISR9dWl3Xwm2pr9prMOX34AsmPskpHqW3TjI9PuxkhXI0rbE8rO9GP63ZBuVNLTPTjkBBBIJzszP6+oDDfAcZYf59IiQt60h0lAqOdIhBCsSw020aJQDZQ15Kt5ki0EARgJ0o7Lrmw2e3pKMXgkJsgfU7fB9c1qohSMUJ8fG4L1aQK/AsB7SVdlBwlhCRPkK9mdt96Eo5Hru+joaXUZyUs3PjXyM2EPamQCffssUxnlCY3FiKgQH2Fi6ULE1fPr2hUqGaSGBPRGM3mH3PlYMir4LMgovu9AKCvB/AZ/fldAN5BRD8B4DYoFuaPD6of19qy6NGjR48bE3vzWVwJfpSIXgSl7X4ewHer0/MnieiXAHwKQAXge5j5wDp00wgLriWKrQlkzZBFHVgFvmPad2DHzkjZQDO5fQlC0zGBFpwIyFoi1SHuLDmgqIwmrtrUFsGOizf3NaoY7hpmqTHnqE1nLIam61sEriWqwqMppAzO35ZXEkc7xZZF3CeDWkffkGdpJF5wS5IJCK2JlkmFUjv0L4xLXChkQCEZysQ4Yp3m693PaAgVhRJSKjHM9kIyCk0FTyTjYongOLOfsVwC6ktboaOtAqOEMNLjlg0SR1et5si9iw8sgFoG8e2BVt2QB+QnPfp5NFyHz7cQFFCu0rNc01GKFa31D4sa5bT2rAcE4xtac2T3S4gQ1/GNrVGfejK0scm/abIKDF1WF5X9bqPhoufTbPPHyA8YWQYYVycpj5n/8pxtPwLgRw68E7iJhEVdSFx+cssmm/nCwje3AUc9AViYmazamO8z8jlfCemyk4tav+iaVklCukqFL0bRWB4XbpoVQ7JUgd/n+NxN8F+MtnFR+7H1g1jaS08Ewp9Utd/D0ChNwsGgbTz9tmwoqV9wUF+rOX6Q55YiWStq3L5TYnxRURPjorY+i81SYlwzJtLx7YWdMDkQGPMjfIwAMNsd1eT+tl9bzU0TK1BIICE9poVEOmofG3NvOJGQANjj5v3kyWpcBSGxsoiFOjV+DhIZ8wSDhOwYB9eiI9F8n5wfXej31T+HSCj0RXj1xTL92afkfN+ZoZtcmy5Rz3+e/Qin2O9jxsnWO4uUuKWAeXmRVTcAbhph0aNHjx5XG325jxsQspYYX5zMJKA15QUIrUE3OV+70DhNjmlhNWQByl2pb6BZ84p/j7f7ZUJihBZBFAHSoF0F1oyNS9cmuacl1pWhc8J+1cw2ospETcWO8kb6yUTJyNCCAYB8NUMVHWO2GQ3QWC/ZWubyJQ4NwEck1m5bs8cZrbcpMq3QEVZ1JQNnuHJqm+ubdXIDzTSVcWibbb6D2+QcmLHK1jLrtM5Ws8CpS14OhkgoKHUCwObR8OUwkbQupR0fk0hnAijqog7uYSZcZBZ598wkiprzG6vV9id3mn2SJ5C19Jzf4RiR98741nkc2ee/WzM10WppKV6ua1AiwdIrBRLV4bIWgvesS50r4ueOmOfBXHNT+ZkrwlUq93G94KYRFkTa7xBVMNlrZeLwQWrmNudZnvELAkSRTosUEW87l80PdZMADMuSu6gp6dWGCrJYvd9tfw33ThRMLiJP7Gd/gmnqU5PQ8CN/DDUvdXSOX7zQrx2kJlY9YV2ejSBro9MAV1p9dHxkJ+u9Zuu3IRaMi6LK5rXt97saO0olpkz8STDMxJYzAsLACDPTjvILmMisREcg+XW6QuEVK01Nz/JMyG0HxUV91hO4t69/f6kmmBchVjRC3wMHY+ZXa7B9N8oc5r+3+4HyWSw3HPd6xk0jLHr06NHjquLqRUNdF7hphAURzSzQA8xq4bOlpp3zO9ZQ92Ou+g4vbtCy97MIS1ufgdnIpTASTDmpw3wCdZzvhG2DT72YCB8TOx9ogl40FnuatoDS7Iy2JwKrS4Ale9FgrlaSNNp0YcqEVK3JhD594mgON+6mLIdIBJJMYLCh8hey1dxWaRVZhiRzFWmbcxpk8NlPAAu3hTkCcaVgQ/vVZR3cM7/emH/tdSmDexrUbUoI+VoWVAD2ncbC+y4EBRRYbC3MC/CYh6CicGxpQCIxlkgm5i4UJH1roahnnnF1rjDfyT//okgn8q5/meiFxQ0IRigYmsx/33y1v5mX3i7C1UTxtD/k82iGprauBPP6IVsie3zkQeJfODHE0T1+BFQYRTNLu7CUlv4TcBMmR/uy5IDG8OtPYVXVXWoCRbRIzI3HkEHIqPtcTiorPLjenplghBUWhoZz3/0aU2YcZs4bhRj7iW/+eZr61nZvk0zMrPVhYMahyWeQZElnuowlo5Z16zswT1lp2r/xHNG4tLUnPTp1to3Z37qGwR7IinZ8dZLyrhfcNMKiR48ePa4mmBmy7B3cNyWs1hVEJEUathdqbjWm2fBzd/wVOriWbX3sFfuNDDHHucSu9hpRB4lF49d2ffMol/m5I8tfAmamRlhjZFlTklpUWmXm++JovvAce6ehrib2Yx0c7PvV+yxuSNRFjctPbV3rbvS4UVC1TyL13OUOnj+TQ4/F6IVFjx49evSYj+dZNBRxB8fojQAieg7ADoBz17ovEY6j71NXXI/96vvUDTdan+5m5hNX0jgR/X/6HF1wjpnfeCXnu9a4aYQFABDRB+ctMHIt0PepO67HfvV96oa+Tzc/lu+t69GjR48eNx16YdGjR48ePRbiZhMWnRdAv4ro+9Qd12O/+j51Q9+nmxw3lc+iR48ePXocDG42y6JHjx49ehwAemHRo0ePHj0W4qYQFkT0RiL6LBE9QkQ/cI378jgRfYKIPkpEH9S/HSWidxPRw/rvkQPuw88S0Vkiesj7rbUPRPQWPXafJaKvvop9+kEiekqP1UeJ6Guvcp/uJKL3ENGnieiTRPT39O/XbKzm9OmajRURDYnoj4noY7pP/0z/fq2fqbZ+XdPn6qYFM9/Q/6AWuH4UwH0AcgAfA/DSa9ifxwEcj377MQA/oD//AIB/ecB9+BIArwHw0KI+AHipHrMBgHv1WCZXqU8/COB/bdj3avXpFIDX6M/rAP5Un/uajdWcPl2zsYIqUbymP2cA/juAP3MdPFNt/bqmz9XN+u9msCxeD+ARZv4cMxcAfgHAm65xn2K8CcDP6c8/B+AvHuTJmPl9AC507MObAPwCM0+Z+TEAj0CN6dXoUxuuVp/OMPOH9ectAJ8GcDuu4VjN6VMbrkafmJm39ddM/2Nc+2eqrV9tuCr9ullxMwiL2wE86X0/jfkv10GDAfwOEX2IiN6sf7uFmc8AajIAcPIa9KutD9d6/L6XiD6uaSpDY1z1PhHRPQBeDaWdXhdjFfUJuIZjRUQJEX0UwFkA72bm62KcWvoFXCfP1c2Em0FYNNVVvpbxwF/EzK8B8DUAvoeIvuQa9qULruX4/TSAFwB4EMAZAP/6WvSJiNYA/AqAv8/Ml+ft2vDbgfSroU/XdKyYuWbmBwHcAeD1RPTyObtftXFq6dd18VzdbLgZhMVpAHd63+8A8PQ16guY+Wn99yyAd0KZuc8S0SkA0H/PXoOutfXhmo0fMz+rX3YJ4GfgKIGr1iciyqAm5bcz86/qn6/pWDX16XoYK92PSwB+H8AbcR09U36/rpexutlwMwiLPwFwPxHdS0Q5gG8G8K5r0REiWiWidfMZwJ8H8JDuz7fq3b4VwK9dg+619eFdAL6ZiAZEdC+A+wH88dXokJloNL4BaqyuWp+IiAD8RwCfZuaf8DZds7Fq69O1HCsiOkFEh/XnEYCvBPAZXONnqq1f1/q5umlxrT3sy/gH4GuhokYeBfDWa9iP+6CiLT4G4JOmLwCOAfg9AA/rv0cPuB8/D2V+l1Da1HfO6wOAt+qx+yyAr7mKffrPAD4B4ONQL/Kpq9ynL4aiIT4O4KP639dey7Ga06drNlYAXgngI/rcDwH4J4ue66t0/9r6dU2fq5v1X1/uo0ePHj16LMTNQEP16NGjR48DRi8sevTo0aPHQvTCokePHj16LEQvLHr06NGjx0L0wqJHjx49eixELyx69OjRo8dC9MLieQQi2l68157b/HrSZeGJ6C8S0Uv30cbvE9Hr9rj/Z4no6xu23UNeGfSbHUT0j7zPI12SuyCi49eyXz1uPvTCoscVgZnfxcw/qr/+Ragy0FcDf42ZDzRTn4iSg2x/SbDCgpnHrOok9SUseiwdvbB4HoIUfpyIHiK1UNNf1b9/mdba/18i+gwRvV2XnwARfa3+7Q+J6N8S0a/r37+NiP4dEf1ZAF8P4Me1dvsC32IgouNE9Lj+PCKiX9BVQX8RwMjr258novcT0YeJ6Jd1Qb1F1/NaUgvgvB/A93i/J/o6/0Sf67v074KIforUgjm/TkS/SUTfqLc9TkT/hIj+EMBfaeuPPud7SVUX/m2vRtLfJaJP6fP9wpw+r5KqiPonRPQRInqT/v0eIvoDfb4P63EFEZ0iovfpsX2IiN5ARD8KwFgTb+9083v02C+udQp5/+/q/QOwrf/+ZQDvhlo46hYAT0AtuvNlADahCqwJAO+HKj8xhCrtfK8+/ucB/Lr+/G0A/p3+/H8D+EbvfL8P4HX683EAj+vP/wuAn9WfXwmgAvA6vc/7AKzqbd8PXcIhug7brv7+cQBfqj//OPQCSwDeDOAf688DAB+EWvTmGwH8pr7GWwFcNP2GWrzqf/P6PNMfqHUT/huAE/r3v+pdz9MABvrz4Tn34l8A+OtmP6hyNasAVgAM9e/3A/ig/vwP4crHJADW/Xsatf04ogW4+n////bOKLTqOorjn29qiAh7iOFTFiYrMGdZQeYQn3wZ+KIQMSJ8SKiQXtbegmBPYSBFKywRyUQjxD344BBaWsYqqW2hOILwQWhTEUxFJdfp4Zw/3S7/e+/GNq5u5wN/uPf8/vd3z+9y+Z3/Oef/PyePmR6LSRYiHcBhM5vEK4eeAl4A/gJ+MrNLAPI+AY8DN4E/zBvGgBuLndWTToNNwEcAZjYqaTTkL+JhrDPh0DyMG6yaSGrBN+VTITqIl4cHL+TYXngNQAu+AXcAX5tXJR2XNFg17VcN9HkSeBo4GfJFeN0rcMN1SFI/0F9H9S3AVknd8X4psBI3Nh9LegaYBNpi/Gdgv7wibb+ZDdeZO0lmnTQWC5Oyuv4FdyteT+L/kXrn1+Me/4U6l1aNlRUlE97A5pVpfIdqzFWM7TKzgf8Jpc4Gc96qp4+ktcA5M9tQ8tlO3BhuBd6VtMbM7tXQbZuZjVXN/R4wAazDf7s74J0G5b1ROoGDknab2RcN1pEks0bmLBYmp4GXI6bfim9u9Uo1XwBWyTu3gYddyriB940uuAg8F6+3V8hPA10A8mY17SEfAjZKWh1jyyS1UQfzPgbXJXWEqKtieAB4I67GkdQmLx3/PbAtchcr8PBbGbX0GQNaJW0I+RJJayQ9BDxqZoNADx5eqpVzGQB2VeSEng15C/BneD2v4l4Lkh4DLpvZ53gJ8/Vx/t/F+pJkLkljsTA5hodLRoBv8Bj9eK2Tzew28CZwIhK/E3huo5ojwDuRsH0C+ADfrH/A4/8FnwLLI/zUQxgqM7uC50AOx9gQ8NQU1rMD6IsE9+0K+T7gPPCL/HbavbindBQvk17IfixbTy19zHu9bwfelzSClxF/Cd/Yv5T0G146e08YszJ68dzHaOjWG/JPgNckDeEhqMLL2QwMS/oVzzl9GPLPYo5McCdzSpYoT6aEpOVmdjOuhPuA381sT5N0+RboNrOzM5ijWM8juLHaWM9gPkjEXWfPm9nVZuuSzB/Ss0imyuuR8D6Hh0r2NlGXa8ABlTyUNw2Ox3q+A3rng6FQPJSHeyz/NFmdZJ6RnkWSzCGSdgBvV4nPmNlbZecnyf1KGoskSZKkIRmGSpIkSRqSxiJJkiRpSBqLJEmSpCFpLJIkSZKG/AtxDdTWg0bo+QAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_season.ts[-1]-ds_gra_season2.ts[-1]).plot()  # Just checking there are NOT same"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "15adc8db-a9de-4ccb-bb34-b31e4f7fedd5",
@@ -4290,7 +2535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 29,
    "id": "ef6ab42f-c91b-4049-bd22-a027db7ea9a1",
    "metadata": {},
    "outputs": [],
@@ -4300,7 +2545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 30,
    "id": "735e7f9d-c35e-481f-9639-c698acf6618a",
    "metadata": {},
    "outputs": [
@@ -4310,7 +2555,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4321,7 +2566,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 31,
    "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
    "metadata": {},
    "outputs": [
@@ -4689,13 +2934,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4675a95f-b98f-4baf-94b2-7af96a944ef1' class='xr-array-in' type='checkbox' checked><label for='section-4675a95f-b98f-4baf-94b2-7af96a944ef1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fdc2ba43-4ab3-4991-9b62-58171a122280' class='xr-array-in' type='checkbox' checked><label for='section-fdc2ba43-4ab3-4991-9b62-58171a122280' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-934f1850-dfbc-45f7-9853-3d32522baba9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-934f1850-dfbc-45f7-9853-3d32522baba9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-e33f40ef-e9c8-4d65-aced-c9b4ac026aa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e33f40ef-e9c8-4d65-aced-c9b4ac026aa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f0025e-f5af-4c88-beed-a642f489bbbf' class='xr-var-data-in' type='checkbox'><label for='data-90f0025e-f5af-4c88-beed-a642f489bbbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a510637c-4943-48e4-936d-6cd6bca57b83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a510637c-4943-48e4-936d-6cd6bca57b83' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-9aa5fbc6-682c-430d-bbf1-2c9c1f51df7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aa5fbc6-682c-430d-bbf1-2c9c1f51df7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6922e3cc-1243-4c68-8b66-0dafa09fa076' class='xr-var-data-in' type='checkbox'><label for='data-6922e3cc-1243-4c68-8b66-0dafa09fa076' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -4711,7 +2956,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-3283bd0b-91b8-40f6-b963-605a63b75b96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3283bd0b-91b8-40f6-b963-605a63b75b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac9a5f5e-bfd0-47b0-9892-576ac1fa62d8' class='xr-var-data-in' type='checkbox'><label for='data-ac9a5f5e-bfd0-47b0-9892-576ac1fa62d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f629dc94-9b5d-4b00-9799-422ea044b5da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f629dc94-9b5d-4b00-9799-422ea044b5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b88df2a0-c826-4b97-bf26-ccc79e82deeb' class='xr-var-data-in' type='checkbox'><label for='data-b88df2a0-c826-4b97-bf26-ccc79e82deeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -4734,7 +2979,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5091c227-50ce-4ef6-a930-1518d87f4b9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5091c227-50ce-4ef6-a930-1518d87f4b9b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1e54521-3849-4440-9567-8621b027a431' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1e54521-3849-4440-9567-8621b027a431' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -4750,7 +2995,7 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4759,6 +3004,39 @@
     "ds_gra_day.ts[0] - ds_gra_month.ts[0]"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "878b6b6a-7651-47cf-9618-ae50dfc15e2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15bac6d90>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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EWkl/zth3pOZFxFO35CLiLkmP5eyY+5TXtyQtpWg8EvCxiKhkwY+MNNqM862XdAxwMTARODMibm73eczMRmXD6A8x3PedpKPS+tOBpcB8YCXwGHBEo31biUPS+4EPADtLWl5atQ3wq5xj5D7lJWA/YOeI+LSkGZL2ioirRxp0rohYSnERzcz6Tu47Jjnqfd+lRFKZD4YZJbeN35XfBX4M/CdQfp/l4Yh4IOcAube8vk6Ri18NfBp4GLgQeHF2qGZm4804elM+Ih6kaCc/rNVj5CaUvSNirqTr04n/ImnzVk9qZjYu+NnSKrkJ5cn06FhlPJQdaMvdQzOzscsDbFXLfbHxFGAxsKOkzwC/BD7bsajMzMYCjylfJfcpr3MlXUvRMC/goIi4taORmZn1swD5Pk2VhglF0valxfuA88rrclv+zczGpQGqfeRoVkO5lo2v988A/pLmtwXuAmZ1Mjgzs37mNpRqDdtQImJWROxM8dLMmyJickQ8k2IsFA+uZWZmT8ltlH9xenkGgIj4MRldGZuZjWtulK+S+9jwOkmfAL5DcXneQTGCo5nZYHKj/CZyayiHATtQPDq8OM23/Dalmdm44BpKldzHhh8Aju1wLGZmY4Zwo3ythjUUSSc2O0DONmZm45JrKFWa1VD+VdJDDdaLov/9E9sWkZnZWNDG3obHi2YJ5QyajyV8RptiMTMbW5xQqjRMKBHxqW4FYmY21vgpr2q5jw2bmVkt11CqOKGYmbViwBrcczihmJm1yI3y1bJebJS0q6RLJd2UlndPb86bmQ0uPzZcJfdN+TOAE4AnASJiOcXjwmZmA0uRNw2K3ISyZURcXVO2fjQnlvQFSbdJWi5psaRtU/lMSX+TdEOaTh/NeczMOiIoBkLPmQZEbkJZJ2kXNo4pfwiwdpTnvgR4YUTsDvyeogZUcUdEzEnTUaM8j5lZ22kE06DIbZQ/GlgEPF/SPcAfKHocbllE/LS0eBVwyGiOZ2bWdQN0OytHbueQdwKvkbQVMCEiHm5zHO8BLigtz5J0PfAQ8ImI+EW9nSQtBBYCTNxuuzaHZGbW2CC1j+RoNqb8h4YpByAivtxk/58Bz6qz6uMR8aO0zccp2mPOTevWAjMi4n5JewI/lPSCiNikT7GIWERRc2LSjOn+pzWz7vK3TpVmNZRKP17PA14MLEnLbwKubHbwiHhNo/WSDqcYTni/iIi0z+PA42n+Wkl3ALsCy5qdz8ysazzA1iay+vKS9FNgbuVWV+qy/vujObGk/YH/AF4ZEY+VyncAHoiIIUk7A7OBO0dzLjOzjnANpUpuo/wM4InS8hPAzFGe+2vAJOCSdAvtqvRE177ApyWtB4aAo9IAX2ZmfcVtKNVyE8o5wNWSFlPk5IOBs0dz4oh47jDlFwIXjubYZmZd4YRSJfcpr89I+jHwilR0RERc37mwzMz6n2so1bISiqQZwDpgcbksIu7qVGBmZn1twPrpypF7y+u/2Xjpng7MAlYAL+hEUGZm/U74Ka9aube8/rG8LGku8L6ORGRmNla4hlIlty+vKhFxHcV7KWZmA0sRWdOoziFtL+kSSbenn3W7BZG0v6QVklZKOr5UXrcj3k7IHQ/lQ6XpOEnfBf7cqaDMzPpe7lgoo6/FHA9cGhGzgUvTchVJE4FTgQOA3YDDJO2WVjfqiLetcmso25SmSRRtKgs6FZSZ2VjQpfFQFgBnpfmzgIPqbLMXsDIi7oyIJ4Dz035ExE8jojLcyFXAtFFHNIzcRvlbIqLqzXhJb2GUb8ubmY1lXWqU3yki1gJExFpJO9bZZipwd2l5NbB3ne1qO+Jtq9yEcgKbJo96ZWZmgyO/9jFZUrk/wkWpc1ugcUe6mcevN+xKVXR1OuJtu2a9DR8AzAemSjqltOofGOWIjWZmY9rIbmeti4h5wx6qQUe6ku6VNCXVTqYA99XZbDUwvbQ8DVhTOsYmHfF2QrM2lDUUvfz+Hbi2NC0BXt+poMzMxoTuNMovAQ5P84cDP6qzzTXAbEmzJG0OHJr2K3fEe2C5I95OaNbb8I3AjZLOLTXqmJkNPNG1rlc+B3xP0pHAXcBbACQ9G/hmRMyPiPWSjgEuBiYCZ0bEzWn/4Tribbtmt7y+FxFvBa6XNr106TE0M7PB1Lm7R6VTxP3AfnXK11A0SVSWlwJL62xXtyPeTmjWKH9s+vnGTgdiZjameICtTTRsQ6k8qgZ8ICL+WJ6AD3Q+PDOz/qUNedOgyH2x8bV1yg5oZyBmZmNOdxrlx4xmbSjvp6iJ7CxpeWnVNsCvOhmYmVm/83go1Zq1oXwX+DHwn1T3H/Owh+U1s4EWdKVRfixp9tjwg8CDwGEA6ZX/LYCtJW3tAbbMbJC5hlItt7fhN0m6HfgDcAWwiqLmYmY2kCoDbLlRfqPcRvn/DbwE+H1EzKJ4JtptKGY2uCLypwGRm1CeTC/XTJA0ISIuA+aM5sSSTpR0j6Qb0jS/tO6ENEjMCknu4sXM+lKXuq8fM3J7G/6rpK2BK4FzJd1HezqHPDkivlguSIPCHEoxXv2zgZ9J2jUihtpwPjOz9hmgZJEjt4ayAPgb8D+BnwB3AG/qUEwLgPMj4vGI+AOwkmLwGDOzvuIaSrWsGkpEPFpaPGvYDUfuGEnvoujR+MMR8ReKgWKuKm2zOpVtQtJCYCHAxO3qDrNsZtYZAQwNULbI0OzFxoepX6kTEBHxD032bzRozGnASen4JwFfohhNrOlAMU8VFgPULAKYNGO6/2XNrKsGqfaRo9l7KNuM5uCNBo0pk3QGcFFabDhQjJlZ3xigJ7hy5LahtF0aeaziYOCmNL8EOFTSJEmzgNnA1d2Oz8ysGbehVMt9yqsTPi9pDsXtrFXA+wAi4mZJ3wNuoXiS7Gg/4WVmfWfAOn7M0bOEEhHvbLDuM8BnuhiOmdmIFCM2OqOU9bKGYmY2pslPeVVxQjEza4VveW3CCcXMrCWD1U9XDicUM7MWDdITXDmcUMzMWuUaShUnFDOzVsRgjXWSwwnFzKxVG1xDKXNCMTNrkd9DqeaEYmbWKieUKk4oZmatCMBtKFWcUMzMWiDCt7xqOKGYmbVqg6soZU4oZmat8C2vTTihmJm1yLe8qjmhmJm1ygmlihOKmVlL3DlkLScUM7NWBE4oNZxQzMxa5AG2qk3odQBmZmNWRN40CpK2l3SJpNvTz+2G2W5/SSskrZR0fJ31x0kKSZNHFVADTihmZq0Iis4hc6bROR64NCJmA5em5SqSJgKnAgcAuwGHSdqttH468FrgrtEG04gTiplZSzJrJ6NvZ1kAnJXmzwIOqrPNXsDKiLgzIp4Azk/7VZwMfJQOD1rcszYUSRcAz0uL2wJ/jYg5kmYCtwIr0rqrIuKo7kdoZtZEfrKYLGlZaXlRRCzK3HeniFhbnC7WStqxzjZTgbtLy6uBvQEkHQjcExE3SsqNtyU9SygR8bbKvKQvAQ+WVt8REXO6HpSZ2UjkJ5R1ETFvuJWSfgY8q86qj2cev16mCElbpmO8LvM4o9Lzp7xUpMy3Aq/udSxmZtkiYGioTYeK1wy3TtK9kqak2skU4L46m60GppeWpwFrgF2AWUCldjINuE7SXhHxp7YEX9IPbSivAO6NiNtLZbMkXS/pCkmvGG5HSQslLZO0bOiRRzsfqZlZWXfaUJYAh6f5w4Ef1dnmGmC2pFmSNgcOBZZExO8iYseImBkRMykSz9xOJBPocA2lUTUuIioX5TDgvNK6tcCMiLhf0p7ADyW9ICIeqj1Iuge5CGDSjOl+INzMuqfylFfnfQ74nqQjKZ7SeguApGcD34yI+RGxXtIxwMXARODMiLi5G8GVdTShNKrGAUh6GvDPwJ6lfR4HHk/z10q6A9gVWFb3IGZmvdKFN+Uj4n5gvzrla4D5peWlwNImx5rZ7vjKen3L6zXAbRGxulIgaYf0TDWSdgZmA3f2KD4zs+F155bXmNHrRvlDqb7dBbAv8GlJ64Eh4KiIeKDrkZmZNdLGRvnxoqcJJSLeXafsQuDC7kdjZjZCA1T7yNHrGoqZ2djlhFLFCcXMrCVt6adrXHFCMTNrRUCEB5Uvc0IxM2uVayhVnFDMzFrhp7w24YRiZtYqN8pXcUIxM2tRbHAbSpkTiplZSwbrLfgcTihmZq3oXueQY4YTiplZCwIIN8pXcUIxM2tFBPg9lCpOKGZmLQrf8qrihGJm1irXUKooxslTCpL+DDwKrOt1LDUm45hy9WNcjinPWIvpORGxw2gOLukn6Rw51kXE/qM531gwbhIKgKRlETGv13GUOaZ8/RiXY8rjmAx6P2KjmZmNE04oZmbWFuMtoSzqdQB1OKZ8/RiXY8rjmGx8taGYmVnvjLcaipmZ9YgTipmZtcW4SCiS9pe0QtJKScf3OJZVkn4n6QZJy1LZ9pIukXR7+rldh2M4U9J9km4qlQ0bg6QT0rVbIen1XYzpREn3pGt1g6T5XY5puqTLJN0q6WZJx6bynl2rBjH17FpJ2kLS1ZJuTDF9KpX3+ndquLh6+ns10CJiTE/AROAOYGdgc+BGYLcexrMKmFxT9nng+DR/PPBfHY5hX2AucFOzGIDd0jWbBMxK13Jil2I6ETiuzrbdimkKMDfNbwP8Pp27Z9eqQUw9u1aAgK3T/GbAb4GX9MHv1HBx9fT3apCn8VBD2QtYGRF3RsQTwPnAgh7HVGsBcFaaPws4qJMni4grgQcyY1gAnB8Rj0fEH4CVFNe0GzENp1sxrY2I69L8w8CtwFR6eK0axDScbsQUEfFIWtwsTUHvf6eGi2s4XYlrkI2HhDIVuLu0vJrG/wE7LYCfSrpW0sJUtlNErIXiCwPYsQdxDRdDr6/fMZKWp1tilVsmXY9J0kzgRRR/5fbFtaqJCXp4rSRNlHQDcB9wSUT0xXUaJi7ok9+rQTMeEorqlPXyWeh9ImIucABwtKR9exhLjl5ev9OAXYA5wFrgS72ISdLWwIXAByPioUab1inrSFx1YurptYqIoYiYA0wD9pL0wgabd+06DRNXX/xeDaLxkFBWA9NLy9OANT2KhYhYk37eByymqFLfK2kKQPp5Xw9CGy6Gnl2/iLg3fSFsAM5g4+2HrsUkaTOKL+5zI+IHqbin16peTP1wrVIcfwUuB/anj36nynH1y7UaROMhoVwDzJY0S9LmwKHAkl4EImkrSdtU5oHXATeleA5Pmx0O/KgH4Q0XwxLgUEmTJM0CZgNXdyOgypdRcjDFtepaTJIEfAu4NSK+XFrVs2s1XEy9vFaSdpC0bZp/OvAa4DZ6/Ds1XFy9/r0aaL1+KqAdEzCf4mmYO4CP9zCOnSmeIrkRuLkSC/BM4FLg9vRz+w7HcR5FVf9Jir/KjmwUA/DxdO1WAAd0MaZzgN8Byyn+s0/pckwvp7jlsRy4IU3ze3mtGsTUs2sF7A5cn859E/DJZr/XXfr3Gy6unv5eDfLkrlfMzKwtxsMtLzMz6wNOKGZm1hZOKGZm1hZOKGZm1hZOKGZm1hZOKGZm1hZOKANE0iPNtxrxMQ9UGjJA0kGSdmvhGJdLmjfC7VdIOrDOupkqdZE/3kn6WGn+6am79ickTe5lXDaYnFBsVCJiSUR8Li0eRNFFeDe8PSI62iOCpImdPH6bPJVQIuJvUfRr5e5ErCecUAaQCl+QdJOKwcDelspflf76/7+SbpN0buoKBEnzU9kvJZ0i6aJU/m5JX5P0MuBA4Avpr+RdyjUPSZMlrUrzT5d0fuoN9gLg6aXYXifpN5Kuk/T91Elis8+zp4pBln4DHF0qn5g+5zXpXO9L5RMkfV3FoEwXSVoq6ZC0bpWkT0r6JfCW4eJJ57xCRa/SF5f6tPp3Sbek853fIOatVPSEe42k6yUtSOUzJf0ine+6dF2RNEXSlena3iTpFZI+B1RqJedm/eObdVKvX9X31L0JeCT9fDNwCcXgZDsBd1EM7PQq4EGKTvMmAL+h6ApkC4puv2el/c8DLkrz7wa+lua/DRxSOt/lwLw0PxlYleY/BJyZ5ncH1gPz0jZXAluldf9B6k6j5nM8ddy0vBx4ZZr/AmkQL2Ah8Ik0PwlYRjGw0iHA0vQZnwX8pRI3xQBpHy3FvEk8FONu/BrYIZW/rfR51gCT0vy2Df4tPgu8o7IdRddBWwFbAluk8tnAsjT/YTZ25TMR2Kb8b1pz7FXUDPLmyVM3pqdhg+jlwHkRMUTRY+wVwIuBh4CrI2I1gIpxJmYCjwB3RjEoERQJZWHtQUdgX+AUgIhYLml5Kn8JxS2zX6WK0eYUSW1Ykp5B8cV9RSo6h2LoACg659y9UvsAnkHxJf1y4PtR9Eb7J0mX1Rz2gibxPA94IXBJKp9I0U8ZFMntXEk/BH7YIPTXAQdKOi4tbwHMoEhIX5M0BxgCdk3rrwHOVNET8Q8j4oYGxzbrCSeUwVRvXIiKx0vzQxS/I422b2Q9G2+rblGzrl4ncqIYJOmwEZxDwxyrsu7fIuLiqkLpDU2O+WijeCT9I3BzRLy0zr5voEiYBwL/S9ILImL9MLG9OSJW1Bz7ROBeYA+Ka/d3KEa8VDG2zhuAcyR9ISLObvI5zLrKbSiD6UrgbamNYQeKL8BG3XjfBuysYgRBKG7x1PMwxTjoFauAPdP8IaXyK4G3A6gYEGn3VH4VsI+k56Z1W0ralQaiGAfjQUkvT0VvL62+GHh/+qseSbuqGFbgl8CbU1vKThS3+uoZLp4VwA6SXprKN5P0AkkTgOkRcRnwUYpbWcO1AV0M/FupjepFqfwZwNpUe3onRe0HSc8B7ouIMyi6t5+btn+y8vnMes0JZTAtprg1cyPwc4o2gz8Nt3FE/A34APCT1Fh9L0VbS63zgY+kRuZdgC9SfKH/mqI9ouI0YOt0q+ujpGQWEX+maJM5L627Cnh+xuc5Ajg1Ncr/rVT+TeAW4DoVjxJ/g6LGdSFFF/qVst/W+zzDxRMRT1AkyP+SdCNFF/Mvo/jy/46k31F0q35ySnj1nETRFrM8xXZSKv86cLikqyhud1VqS68CbpB0PUUb2FdT+aJ0DDfKW8+5+3rLImnriHgk/UV9KnB7RJzco1guB46LiGWjOEbl8zyTIqHt0yipjiXpabp5EbGu17HYYHENxXK9NzXS30xxW+YbPYzlAeDbqvNi4whclD7PL4CTxkMyUXqxkaLms6HH4dgAcg3FrIMkHQEcW1P8q4g4ut72ZmOZE4qZmbWFb3mZmVlbOKGYmVlbOKGYmVlbOKGYmVlb/H/lMvRptiKY7wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_day.ts[-1]-ds_gra_month.ts[-1]).plot()  # Just checking there ARE same"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "95c405c5-10d9-4017-b2f6-86567eb50d8c",
@@ -4769,7 +3047,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 32,
    "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
    "metadata": {},
    "outputs": [],
@@ -4779,7 +3057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 33,
    "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
    "metadata": {},
    "outputs": [
@@ -4789,7 +3067,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4800,7 +3078,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 34,
    "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
    "metadata": {},
    "outputs": [
@@ -5168,13 +3446,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4d7d09c4-60d9-4bb9-ab5f-857c40a0e348' class='xr-array-in' type='checkbox' checked><label for='section-4d7d09c4-60d9-4bb9-ab5f-857c40a0e348' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-85b9042d-eb10-4e61-a9d3-1c0d49dc935c' class='xr-array-in' type='checkbox' checked><label for='section-85b9042d-eb10-4e61-a9d3-1c0d49dc935c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4c49a404-255e-404b-8b5c-ee2f1accb1b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c49a404-255e-404b-8b5c-ee2f1accb1b2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-54ca6772-8d27-4d24-882f-5cae9a3dd7c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54ca6772-8d27-4d24-882f-5cae9a3dd7c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44229770-01f4-46bc-a82d-92f237a5dcdd' class='xr-var-data-in' type='checkbox'><label for='data-44229770-01f4-46bc-a82d-92f237a5dcdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-976bf54d-abd3-44a4-8890-4ba8c837c824' class='xr-section-summary-in' type='checkbox'  checked><label for='section-976bf54d-abd3-44a4-8890-4ba8c837c824' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-e11d787a-34ed-4f6d-819e-b72c11fd42e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e11d787a-34ed-4f6d-819e-b72c11fd42e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2b8ee6a-0342-44f0-a919-29dd89795742' class='xr-var-data-in' type='checkbox'><label for='data-a2b8ee6a-0342-44f0-a919-29dd89795742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -5190,7 +3468,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ce43f1b5-08ea-41ff-8a53-58bb1a99e42d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce43f1b5-08ea-41ff-8a53-58bb1a99e42d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b1cd80c-c771-41a7-9ed1-972dae3eab3a' class='xr-var-data-in' type='checkbox'><label for='data-1b1cd80c-c771-41a7-9ed1-972dae3eab3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-2bd9a306-eeb3-4f8e-8607-22b63ca9a805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bd9a306-eeb3-4f8e-8607-22b63ca9a805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a9e6aab-dbee-42b2-8c7d-a39286b41fd7' class='xr-var-data-in' type='checkbox'><label for='data-2a9e6aab-dbee-42b2-8c7d-a39286b41fd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -5213,7 +3491,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e3f93fe-f118-4059-a7b2-3fabcb7e25e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e3f93fe-f118-4059-a7b2-3fabcb7e25e2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc3620b9-7697-4a6f-939d-ad6b3777b773' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc3620b9-7697-4a6f-939d-ad6b3777b773' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -5229,7 +3507,7 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5240,9 +3518,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "id": "c48c0ef6-3819-40fe-8cd0-d8df3b451827",
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x15c7fb8e0>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_hour.ts[-1]-ds_gra_month.ts[-1]).plot()  # Just checking there ARE same"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90837e4d-80b9-4829-81dc-cc58fb995df2",
+   "metadata": {},
    "outputs": [],
    "source": []
   }

From 36ca82fbf358655c0cedc15a137215de6c0df89b Mon Sep 17 00:00:00 2001
From: Jiwoo Lee <lee1043@llnl.gov>
Date: Fri, 20 May 2022 12:07:33 -0700
Subject: [PATCH 7/7] update, clean up, and add new notebook for daily data

---
 devel_test/temporal_average_daily.ipynb       | 3721 +++++++++++++++++
 ...e.ipynb => temporal_average_monthly.ipynb} |  160 +-
 2 files changed, 3802 insertions(+), 79 deletions(-)
 create mode 100644 devel_test/temporal_average_daily.ipynb
 rename devel_test/{temporal_average.ipynb => temporal_average_monthly.ipynb} (83%)

diff --git a/devel_test/temporal_average_daily.ipynb b/devel_test/temporal_average_daily.ipynb
new file mode 100644
index 0000000..71a78a9
--- /dev/null
+++ b/devel_test/temporal_average_daily.ipynb
@@ -0,0 +1,3721 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "ab1d3dea-b953-4e53-a94d-ab9a2d1ab39c",
+   "metadata": {},
+   "source": [
+    "# Temporal Average Testing\n",
+    "\n",
+    "Test procedure:\n",
+    "- XCDAT is source-installed from branch `feature/201-temporal-mean`\n",
+    "- PR: https://github.com/xCDAT/xcdat/pull/236\n",
+    "\n",
+    "## Load test data -- daily, 6 yr dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ac226d47-9fdc-4f9c-b2ff-d9542b23c5f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a0ba4da0-603f-4437-ab82-7b3fa9a7c2d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "demo_data_dir = '../tutorials/demo_data/CMIP5_demo_timeseries/historical/atmos/day/pr'\n",
+    "demo_filename = 'pr_day_GISS-E2-H_historical_r6i1p1_20000101-20051231.nc'\n",
+    "demo_file = os.path.join(demo_data_dir, demo_filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8a67df64-9f0b-4515-8fdc-2122a2eddd1c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import xcdat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c20b0719-f1a3-4781-a8af-465c05cf4240",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds = xcdat.open_dataset(demo_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "d965ac21-d875-4951-bb2d-70a6dedade3a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pr = ds.pr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "1b9227cd-3c9a-4135-8228-b3b17eabe81c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (time: 2190, lat: 90, lon: 144)&gt;\n",
+       "[28382400 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * time     (time) object 2000-01-01 12:00:00 ... 2005-12-31 12:00:00\n",
+       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon      (lon) float64 1.25 3.75 6.25 8.75 11.25 ... 351.2 353.8 356.2 358.8\n",
+       "Attributes:\n",
+       "    standard_name:     precipitation_flux\n",
+       "    long_name:         Precipitation\n",
+       "    comment:           at surface; includes both liquid and solid phases from...\n",
+       "    units:             kg m-2 s-1\n",
+       "    original_name:     dummy\n",
+       "    cell_methods:      time: mean\n",
+       "    cell_measures:     area: areacella\n",
+       "    history:           2013-04-18T19:18:11Z altered by CMOR: replaced missing...\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2190</li><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dce35bc2-0614-43d7-b3d8-8661a0f30191' class='xr-array-in' type='checkbox' checked><label for='section-dce35bc2-0614-43d7-b3d8-8661a0f30191' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[28382400 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-ce9fbcb3-fa66-4f27-83b2-bd571c742d20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce9fbcb3-fa66-4f27-83b2-bd571c742d20' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-01 12:00:00 ... 2005-12-...</div><input id='attrs-490e0cff-91c5-437a-9d34-5ac28d774508' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-490e0cff-91c5-437a-9d34-5ac28d774508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fca086d-e8a3-454e-9b07-4c14ff4cb053' class='xr-var-data-in' type='checkbox'><label for='data-1fca086d-e8a3-454e-9b07-4c14ff4cb053' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2000, 1, 1, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2000, 1, 2, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2000, 1, 3, 12, 0, 0, 0, has_year_zero=True), ...,\n",
+       "       cftime.DatetimeNoLeap(2005, 12, 29, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2005, 12, 30, 12, 0, 0, 0, has_year_zero=True),\n",
+       "       cftime.DatetimeNoLeap(2005, 12, 31, 12, 0, 0, 0, has_year_zero=True)],\n",
+       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-e62b58da-19d4-4270-879a-9b4b4584be1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e62b58da-19d4-4270-879a-9b4b4584be1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22c473e0-5359-42b8-bb2a-144bebbfdff0' class='xr-var-data-in' type='checkbox'><label for='data-22c473e0-5359-42b8-bb2a-144bebbfdff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-33852048-a61a-41f3-8346-4f92230841f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33852048-a61a-41f3-8346-4f92230841f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a803c9d-97d7-4390-9bcd-bcecb717e167' class='xr-var-data-in' type='checkbox'><label for='data-2a803c9d-97d7-4390-9bcd-bcecb717e167' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77c75b3e-7639-481e-8eae-069aba6b2d80' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77c75b3e-7639-481e-8eae-069aba6b2d80' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2013-04-18T19:18:11Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'pr' (time: 2190, lat: 90, lon: 144)>\n",
+       "[28382400 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * time     (time) object 2000-01-01 12:00:00 ... 2005-12-31 12:00:00\n",
+       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon      (lon) float64 1.25 3.75 6.25 8.75 11.25 ... 351.2 353.8 356.2 358.8\n",
+       "Attributes:\n",
+       "    standard_name:     precipitation_flux\n",
+       "    long_name:         Precipitation\n",
+       "    comment:           at surface; includes both liquid and solid phases from...\n",
+       "    units:             kg m-2 s-1\n",
+       "    original_name:     dummy\n",
+       "    cell_methods:      time: mean\n",
+       "    cell_measures:     area: areacella\n",
+       "    history:           2013-04-18T19:18:11Z altered by CMOR: replaced missing...\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation..."
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "51bf1c04-a1fd-4e5b-a560-1d74405ce66f",
+   "metadata": {},
+   "source": [
+    "## 1. Temporal Average\n",
+    "\n",
+    "### 1.1 Default (`center_times=False`, `weighted=True`)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "553043f8-3982-4300-b026-6e4a73ad05b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month = ds.temporal.average(\"pr\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "347e0e12-418c-4644-94dc-b405eedcaeb7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month = ds.temporal.average(\"pr\", weighted=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "40e19a21-cf46-46cf-ab5e-a48682008d40",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(90, 144)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_month.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "c20553c6-3095-4e91-944e-125ad3076731",
+   "metadata": {},
+   "outputs": [
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 90, bnds: 2, lon: 144)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon       (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -88.0 -88.0 -86.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 0.0 2.5 2.5 5.0 ... 355.0 357.5 357.5 360.0\n",
+       "    pr        (lat, lon) float64 7.904e-07 7.904e-07 ... 3.448e-06 3.448e-06\n",
+       "Attributes: (12/27)\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            6\n",
+       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e52c052a-b233-4861-960a-d65b5ad8443d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e52c052a-b233-4861-960a-d65b5ad8443d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9808d219-5ab1-4265-9268-eb6ff821a63d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9808d219-5ab1-4265-9268-eb6ff821a63d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-6a67af8b-fcec-49e2-b6fb-57180c7febaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a67af8b-fcec-49e2-b6fb-57180c7febaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-517cc6a0-5173-4380-8ca5-5bc9c02a0d8b' class='xr-var-data-in' type='checkbox'><label for='data-517cc6a0-5173-4380-8ca5-5bc9c02a0d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-ba88084d-339c-4b36-a62c-65aeacf15167' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba88084d-339c-4b36-a62c-65aeacf15167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f42842e6-9b7c-4973-b495-8b23f8b368ca' class='xr-var-data-in' type='checkbox'><label for='data-f42842e6-9b7c-4973-b495-8b23f8b368ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a15c22ae-6c0a-45dc-b5d1-4388b8957d0e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a15c22ae-6c0a-45dc-b5d1-4388b8957d0e' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53d7c22f-aff0-4e03-ad11-70d0b696f1a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-53d7c22f-aff0-4e03-ad11-70d0b696f1a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-703cfdcc-b61d-420d-8102-7649c8d6202a' class='xr-var-data-in' type='checkbox'><label for='data-703cfdcc-b61d-420d-8102-7649c8d6202a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [-88., -86.],\n",
+       "       [-86., -84.],\n",
+       "       [-84., -82.],\n",
+       "       [-82., -80.],\n",
+       "       [-80., -78.],\n",
+       "       [-78., -76.],\n",
+       "       [-76., -74.],\n",
+       "       [-74., -72.],\n",
+       "       [-72., -70.],\n",
+       "       [-70., -68.],\n",
+       "       [-68., -66.],\n",
+       "       [-66., -64.],\n",
+       "       [-64., -62.],\n",
+       "       [-62., -60.],\n",
+       "       [-60., -58.],\n",
+       "       [-58., -56.],\n",
+       "       [-56., -54.],\n",
+       "       [-54., -52.],\n",
+       "       [-52., -50.],\n",
+       "       [-50., -48.],\n",
+       "       [-48., -46.],\n",
+       "       [-46., -44.],\n",
+       "       [-44., -42.],\n",
+       "       [-42., -40.],\n",
+       "       [-40., -38.],\n",
+       "       [-38., -36.],\n",
+       "       [-36., -34.],\n",
+       "       [-34., -32.],\n",
+       "       [-32., -30.],\n",
+       "       [-30., -28.],\n",
+       "       [-28., -26.],\n",
+       "       [-26., -24.],\n",
+       "       [-24., -22.],\n",
+       "       [-22., -20.],\n",
+       "       [-20., -18.],\n",
+       "       [-18., -16.],\n",
+       "       [-16., -14.],\n",
+       "       [-14., -12.],\n",
+       "       [-12., -10.],\n",
+       "       [-10.,  -8.],\n",
+       "       [ -8.,  -6.],\n",
+       "       [ -6.,  -4.],\n",
+       "       [ -4.,  -2.],\n",
+       "       [ -2.,   0.],\n",
+       "       [  0.,   2.],\n",
+       "       [  2.,   4.],\n",
+       "       [  4.,   6.],\n",
+       "       [  6.,   8.],\n",
+       "       [  8.,  10.],\n",
+       "       [ 10.,  12.],\n",
+       "       [ 12.,  14.],\n",
+       "       [ 14.,  16.],\n",
+       "       [ 16.,  18.],\n",
+       "       [ 18.,  20.],\n",
+       "       [ 20.,  22.],\n",
+       "       [ 22.,  24.],\n",
+       "       [ 24.,  26.],\n",
+       "       [ 26.,  28.],\n",
+       "       [ 28.,  30.],\n",
+       "       [ 30.,  32.],\n",
+       "       [ 32.,  34.],\n",
+       "       [ 34.,  36.],\n",
+       "       [ 36.,  38.],\n",
+       "       [ 38.,  40.],\n",
+       "       [ 40.,  42.],\n",
+       "       [ 42.,  44.],\n",
+       "       [ 44.,  46.],\n",
+       "       [ 46.,  48.],\n",
+       "       [ 48.,  50.],\n",
+       "       [ 50.,  52.],\n",
+       "       [ 52.,  54.],\n",
+       "       [ 54.,  56.],\n",
+       "       [ 56.,  58.],\n",
+       "       [ 58.,  60.],\n",
+       "       [ 60.,  62.],\n",
+       "       [ 62.,  64.],\n",
+       "       [ 64.,  66.],\n",
+       "       [ 66.,  68.],\n",
+       "       [ 68.,  70.],\n",
+       "       [ 70.,  72.],\n",
+       "       [ 72.,  74.],\n",
+       "       [ 74.,  76.],\n",
+       "       [ 76.,  78.],\n",
+       "       [ 78.,  80.],\n",
+       "       [ 80.,  82.],\n",
+       "       [ 82.,  84.],\n",
+       "       [ 84.,  86.],\n",
+       "       [ 86.,  88.],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-307690b9-13af-46e7-9d21-e5aac43d20b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-307690b9-13af-46e7-9d21-e5aac43d20b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2324f8c1-fc3c-4e91-aae4-8f380e98eae9' class='xr-var-data-in' type='checkbox'><label for='data-2324f8c1-fc3c-4e91-aae4-8f380e98eae9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [  2.5,   5. ],\n",
+       "       [  5. ,   7.5],\n",
+       "       ...,\n",
+       "       [352.5, 355. ],\n",
+       "       [355. , 357.5],\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.904e-07 7.904e-07 ... 3.448e-06</div><input id='attrs-252b9809-7d4e-4ecd-bfaf-61a33c2fa300' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-252b9809-7d4e-4ecd-bfaf-61a33c2fa300' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2615b518-411c-4c7c-8b05-d5172596c006' class='xr-var-data-in' type='checkbox'><label for='data-2615b518-411c-4c7c-8b05-d5172596c006' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>dummy</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2013-04-18T19:18:11Z altered by CMOR: replaced missing value flag (-1e+30) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_GISS-E2-H_historical_r0i0p0.nc areacella: areacella_fx_GISS-E2-H_historical_r0i0p0.nc</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>average</dd><dt><span>freq :</span></dt><dd>day</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[7.90422321e-07, 7.90422321e-07, 7.90422321e-07, ...,\n",
+       "        7.90422321e-07, 7.90422321e-07, 7.90422321e-07],\n",
+       "       [1.40761676e-06, 1.47176690e-06, 1.59294996e-06, ...,\n",
+       "        1.56964630e-06, 1.48251336e-06, 1.40310309e-06],\n",
+       "       [2.18994881e-06, 1.95212633e-06, 1.82568941e-06, ...,\n",
+       "        3.02005329e-06, 2.73270763e-06, 2.42857161e-06],\n",
+       "       ...,\n",
+       "       [8.99962503e-06, 9.07416458e-06, 9.17712682e-06, ...,\n",
+       "        8.79387425e-06, 8.73545086e-06, 8.77054593e-06],\n",
+       "       [7.50127394e-06, 7.46026056e-06, 7.53139687e-06, ...,\n",
+       "        7.24340800e-06, 7.27545021e-06, 7.35771297e-06],\n",
+       "       [3.44792129e-06, 3.44792129e-06, 3.44792129e-06, ...,\n",
+       "        3.44792129e-06, 3.44792129e-06, 3.44792129e-06]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-787f700d-8cdd-4045-b7cb-86eff4358249' class='xr-section-summary-in' type='checkbox'  ><label for='section-787f700d-8cdd-4045-b7cb-86eff4358249' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>2510.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>b31006b5-e988-4b70-8908-858a18cfa2bb</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2013-04-18T19:18:11Z</dd><dt><span>history :</span></dt><dd>2013-04-18T19:18:11Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table day (27 April 2011) 86d1558d99b6ed1e7a886ab3fd717b58</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>6</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 90, bnds: 2, lon: 144)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon       (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    pr        (lat, lon) float64 7.904e-07 7.904e-07 ... 3.448e-06 3.448e-06\n",
+       "Attributes: (12/27)\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            6\n",
+       "    cmor_version:           2.5.7"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "66e7ac8a-a4d2-428c-952f-427dde5cb6ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x163d390d0>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ds_ave_month.pr.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "acf885d0-9298-4ad7-b9a1-28901cead816",
+   "metadata": {},
+   "source": [
+    "### 1.2 `weighted=False`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "435f61c7-be19-4e1f-bdee-3c3471378af4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month_nw = ds.temporal.average(\"pr\", weighted=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ab0543ba-d8d5-4f70-bb63-44741cfcf2c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x163eb2130>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Ue/4AjMDuu47nOJ7UOWLntyrqdpy6IHHJeJjMHWkJAer2NJpzBwrchKWRJjG4KmxxZRbdUgnzgroaSxix60p0B3PfUJrVpxi/WaD3wNZHcV10EnZuq2KJhM1blTt2Qnc9xZopxzpgiQ+dOQBAdPpJAECzXAMNCT9WLZZ5ioOmyNqd6zlvJVbXaVTNBd31w0J5yPmAAFDoLQ4PDw8Pj35BAHmLYwOAU6fdu6pw5Z8yLTUKCEMTwvAZD0sFfxqKNjXXVS1O03FD1UDr89MgHcfScfnxO+U8u54pr4XAZtCezthH1dIwDdNSDds6/nxOVUvS3oVYD3t5f5z2nQuaUyE12KXWmmXVmpBjq7K9G5SdBt7VU5ssxXTZSthrjSFXnT2r5lzzmpfLMXpdpjlDtdQwIITKDxaXm05uILMIS5bMkGtNmqXw9gaezdKw5Ia2DlIvBWC9z6btFuuEY2vtqxZpkrIzzKoFf/VSzMcpCHNB3V2bXI/AqqYHKhrkjzOmYNL0YbNkbU5cIoeuF5s/xxMWVVzKsYuvO2uiN23aEBK5+bMKbuN0chaI7uvSj4MIxLq+9XtkazUoWBqn5uVCGyVCS8dN9DMLWlemhBEjGZQkEGuwJAPJ96mm1kF05qBsn5E08e4VL5RjzTrnFI0p2cfWcTQ/IbIWAuqWMBDMTzsPhCWDcKHq/LxA5F1VHh4eHh79gwgISwvrZi4FbKgHBweRU72cTzZnaQBAY+IAOpv2AsjSSI0XpxplaYlAFuvgShOk2qGBdlytJ9W4gRb7uXTJqOxiC9amNK0Ny2fmOyc5T6Ui552YT9Cx1FzT4owTqJQVZwFZ7CMNSy4WUGxb6q5d03AtbZeRjxuYhq4xHFcNJ9cV636mLYZhxVkrTdWmp1jO3wxkn5lQrIqSCtKJGWEoGrrphqZVB2qBdNCbIhqAswJDlWVWVdp5tTAami9ddYVfC4v2imyvcdqrfddKgfOnO6iWnRbSVs3CqeW+NWbJmmWWZ2YFgChvbaq1Fs1LTCoZEk2civErhcXTuDaEVK2RYswuKlRhuoLKpI2owD8WutRa9FyXWS0x5+6PFoiScrGZRT2n93GkKqNMthNnAYaFlOf24HYAuRRslg9mOikePCVrcv9WYW5uNvW7ohZBOK2dFCwlu9vK4od3f1y2hXolXbW4n/8Gkb0l6ehcqmZpysqEXSyGPF94V5WHh4eHR/8g8sFxDw8PD4/+QfDpuE97pBSgFVQxq9HedltcOU1NhxyKtEq8NelcU+GUsBK7RjcFmHsqbYxlgd/TvVXZVkmeHZRL27XUTw3WGS+UoegOCKmRNXUqrEdLecyaNul5kq7jcEIh3dLSIC39t2uBYSKEGpQ0+vGsTFqD3yq7VbCXLFCLQIKOuesaUvnTVOaipn7fJFcyXHXlvZa0UOq5Ltu3rMHZVpClB6fcOxlV9ZWVVdszV0u9O4tW1OjZ11xyqV57JerlxGIAqcpfbAjk0ny5d+7bCTu3laMO1/PZFQ8k6tq0wHdUdmuGLWVc37dLIrNzq6U6f8PS4C1sz7jr6CRpj2yWhmvuIlvbFLfR0RThoJCr6yjGCxH1ckiu4ZmjaS+0dq0NaJMuPc9oBCTK8WansVRkm6NJzRgoh3K+A2fmMVSVa2/qPDkOOEsPH9wmbzWRIE+zHlwjgXPXkE33weQhAEA8om0rcgkrHeOhW0VadRBAF45W/aLCuttZ2jv3b4noQSJ6gIheRESjRHQbET2iryMrj+Th4eFxIUEIwqCvfxsNF4PF8VsA/pmZ30hEZQB1AL8M4OPM/C4iegeAdwD4xeUGSVJgqpM6rfFMSzSXsTENkmsgjUs1RKcPyDYttDK+qbJq0mZFmIVASQfhpKQWUiyaTzKkwXBr9qQavNMqc6y1xcYzhnZzS8/7OoAZp8n27mtaXHa9VrwVItHzWFMZU6rYFbaZVi/7hQFQLnAQuSJEld+sFQsmumB2Z85po8XrsmIuV9ylQdkoZASzp2WnMDc/Obj6rEi2L7Yw7bqMs6ir2rAFecNK0wV3F6SnmmXg6H4D9z5oSRC6ouvBLLNWbCmn8v7EvJxvZzNyadP3npDA+mhN5vqaEbVMZ8QytbXE5YZjUI7VwjUt29iZW05WTdtOjMuqjo6e2ywOu56qFlk6vjCd81bUdEFws5iKvGPGVrsYm7Kt63Rgk2zQtUNmGSjSyoBLJjE2XFtvh6dlDY3p3HzsMbGwNzfKGK8r225FguORWztmjfW2ha0iV3wb9FpkhtOQuU7USGqUyBU3qrGDVtr7PTofUAAE5Y33UOgH6/rgIKJBAC8H8EMAwMwdAB0iuhnS1AQA3gPgk1jhweHh4eFxobERrYl+sN5XfQWAEwD+hIjuIqI/IqIGgC3WFlFfN6+nkB4eHh4LQAQK+/u30bDerqoIwH4AP83MXyKi34K4pfoCEd0C4BYA2LFrlwsQAkCj3FuYE2o+PYeRC4anatZbdW9ilOkW/FXzOZg741wbaWNUPjPXgOW5m6ltAfXa8AICIUc7btTe6mKay0XCzW1h7hFzWVkQ1vL2pztWU0DoqGlurhw7JuXeY61Gg4hc/YGjkNdc+0hdU1NdkbWswlasqpkCpNVBnS+5dgtwm+vDuLMs+J8MbQdXmjoXmqSgrquKVhW75ky5Og6raj+tDXvqemFFJc8FhuN25lpz97Q38G1zERpfFAVg3cfud1nvdUUD9TEN9hw7G7PV0WPXoLhCj86IW+ZLR2SM67f1Jlx0EkZD59AlUCi9/pi6P7tbpDaoGAifT9hds3qFsmQDxXyglfDqJopTRsXNqexT18QAx1RgQf9O5n4y96PVPWTNpeIe2c0FNxczQq3faSkPmdUiDZTlWHP5vfQycf1eXe8iqWj1vLIaZH3d5ZhE3ayJ8YdRilTXUJEp4WhS1TmR96HOTStmR+1u7rpmefUK9ghA4IPj64KDAA4y85f0/d9CHiTHiGgbAOjr8cUOZuZbmfkGZr5hbGz8ggjs4eHhAUC5qoK+/m00rKvFwcxHiegpIrqamR8C8GoA9+u/twB4l75+sJ/xkjTT1Me1vLekKbem5qeNMUylqs20RUMaUSWEcqmMAJCGEgBPq4OITh2QYwYkoG2WRTgp45s2ZOmXweypBcyf7rrV0sl4c0SAOGXHpmpKocXETWsbUg6kKBcId+m3lqaq1gOMWdcCjSXRIme7qdOepzRVcrAiMkau+twqrWWISVX/x2tNdx1FNtlYj42sQl0tk2j6OLpN8TYav5Cz3FR7jHROLAkgCsixuRaro62q3gKfNjcdKqFpTK9hb6W9JRM4kl5tQ5qkjLJqucZaS7Fo4FaBDA3gDuQCoabxB2pmDVc1MKsyT7sAfhYoHtYU1IGyfDYydqWcd0b0IpeAYHOi6yYqDziLqe2aWYkcqatmt+ZJFjTPZA3ddclr3dKBLeBtbNC1oayhV8c4qzT91lJb9VizkifbyQKOr0poad+W/tsblAe3XTq0s2gc44JaIppsUjcrvdvNGKLV2mlBv8dq6UQlWw+5IL+lVut8TbV704vPF76OY/3w0wD+UjOqHgPwwxBL6P1E9FYATwJ40zrK5+Hh4bEAFBCCVXR9PZ2w7g8OZv4qgBsW+ejVF1gUDw8Pj7OCtzie5mAWN4FVEweFCuUToQTmyiE5d4Xta26LyMgC1e1kgbugNYlkWAjbAm1wYzn5Fkw0AsMgdwxasm+6+So5oVa4muuqxaKtNLtyDChwRISulqAQLDdXjgWKk5QxGIir4WhLxttakvfzoZj0FrS2YonhEnCm00s/bsu/VagXMZhrZqaTOJfDZLu3jsLGGgq1GZAGwNPGqHM9GOlcEY5okKp6ntQFhI1Qb0azAMyd181VpgNCDW/08JvUw2IJAWHB3WWuumraBs1ZlXdvj/akuannmAZntRJGc14NRCYjg7RAsdVVQKvohyo1PDkl7pjT8zI/W2YPAAA66rIyGIGlrZOIU5RjWW9NUndNpGwDGmC3ZI14/Aq9hlxzLCPoNGaBAXEbptSrLSfMziU2SNrI6al7e/YJGkpKOLYHADBNTZeEYa7DgUiTMNQdNa/fryo02WRqMkuSsEQUa4xl75Vw1GpeuDqQ64eubsa4N+HhRKu3f3kjCnBkRo4x99l0ZxVdVZdw5fiGeXB4eHh4XEiQVo5fitgwD44gEK28bIFADeLNVCQIa3zUErwULWFCq3G31DTQafTjVtVsKYKlmrMESAObpNZDogFg064sFTXedGVWvmy03CxaVF3LWEk5mCZCpZIOyHW+rRbujAWILQga5gO5Wm2706W/Cs9PvX0CADBdHddrV3GiACOVnmlBSQPCkVXNo1erz7cfNa20WQhGupTXkw/J+ZRqHmmCSHmETFt0leMWmNV9LbjbSRijLFpoKx3omQM7n1lfxj+V58aydE7T3gPl87Lq6XKg6dNW8Y9M+y3yj5nVYtxINHPCJUm4xAOtJLfKdWtnai1mqwObsW9Q5mtev3Yx7emRsaMyBmppWOJAElbQrcgaKWkisGsoprJ2Ri7rkZWSDhK1nDvK32XJBp2uWWEyVlOtptLcGZT0PgRzEzIXW8QaskSO4ORjcuyUWDrbBlKkVbHmp3Vcx3MVmKWoAfxAU6RzrYutyZOtAzLL02jQjWo+TVwAPZyUpIWmcrAlailaxb01kvra8TlcPSbzY9bxtmZv0sR5gTytuoeHh4fH2YAIQenS/AndMFcdgtGkLmheGTO1vaTxN5kuKumXsm1ANVXXNCbo5f05FYkmFZYbIOXhMbbYSJlHY2svG4tmGQ8Jf06endTO3bCGNo6lVmUPLMWSs8I/1SxDzdqwtEJrN2raV/L5D6C0/zVybvU7d5WHKtJ4QkPjPabRdhJGqOeJVDpjiLXCOdfsx5r8qJ+aiDCj2tvWhhU0qhasMp7Z/CwAmSZL3Ra6Y+J7d8WBqt271GSNRRlDbLMcgBM5p/mwLX7h2GrVSxA7ht3ss5Pq77Y4lvF0mTZqbVlbpUGUq5rCq+c26zF2cSb1+yt3WTjZQjgj1pzFC1hnLCoooO76cinZtXlt0PTVj8n5NE26fN3r5XwWEzAGZmacUevYLM4i+5lZhhm/VhmppS3rPFmMoFpWnihdmGe6uh4r4xiw9aDp0lbgOknyWtryLJVJji2HhJIVymrMJNWCynBOYlzjaq2ngbZS7rbceqNCcWyo69oxR3c1Nb46gFi5qYJKbwzI1qitWVtD128qAyz7zur3djUNBKJLl3Jkwzw4PDw8PC4sfCMnDw8PD4+zgVaOX4rYQA8OEtNVg3hZgM76Yau7JoxcEPXAjGy7TIPJpTNPAcgawdSNhpqygKw1WmrrZ5a+2gnFDHcVvBxnPZiNv0pdRxa4N3eUpYE2eR4MbYqjwcNIg6BkVcxGuW1uk5d9N4ITjwLIAomBNcFR493ori3gHgbk5DYZp9si03BV3Vxq0ptracC4ijhFon3CrVHPiTlzC/VyIzXqWWpqoNdjgfyuNdtRULGpEMeuiY+bY2u0pPtYGrCrog844+3Se2ysRnaMubUsfbYWBa6yuWQBZ3UvWTLBgPo+aF7ckWl1wFF8u2rsqvKeWY9xhTEKcBA6F2g4LW4u2nOtnEeDvEZvXu9KKmw4eVTG2HKNc9dZQkCzIeMm2gSqo+tzsODazB8zOKWtATQJJFA326imEFOOs8rWmXPpqQvsyLx9Z9S91pnOqNy7ctKGcZhbYNsSIDRhgcp153asFKrOXY9wTSpwfcaNEy4H49xyLlFdq1A2BERl953bXJPzzMa96+z8QKDAPzg8PDw8PPoFART6yvEFIKIP9THGaWb+odUR59yRAmhzANMtJ1TLnm2JtvMvj0uw7YbtQ3jWJtFiLDXPlF1LH82ax4h2nAYlx7JpKY3WrGZIi9MqczL+0WQYANAshajZMcbCq1xELlBqATvTmEt1l07p8nKNn8dYS42DyRhWZ0+hs/3ZcggtvohNYzZti5ClBJvmPaAcWKaPmWKWlCSwaUHFOGUM6JtT86nbBgCjesEuIcE02W7LMepOqtZ5ZqqX4bShmmfGgBuB416+JytNNGsiLGrh5aCYAe0KF81SLBeio92UM6Zg3WbWRFiX9WAsvSVLyY7bSCwJQq3JaOKQnriggWq6b3nykEvhTQbl1QLsdOhBGWNYLABLckhGdjoZKyr3aCntOa+1EC5bgSWqKuO8a1Q2dOhOAMDEx+TrXN8pxayly5+pMmpzsr0vQvj4HXJ8RVOSxyTNt1zuTZc2iyEoD+DojKzVUy25p0Sy3ocqou1XZuU6O9qk69hMjE11DWxrwaxjm7Y2sJYKH2UNnwLjLtNGbBjRVGFrymXMyHOauDCyGwZLbe4kq6crExFCn1W1KJ4B4F8t8zkB+N3VE8fDw8Pj6QMf41gcv8LMn1puByL6tVWUx8PDw+PpAfJZVYuCmd+/0gD97HMhwBCXiQVsP/yIBCl3DYl5/Mo9Ympva0aonXgYQI5nSt0oBuu3HU4cBABQdQiBui2syY71+a5Nyj5nGuK6mNP6gcFy4FwqzoRuizsLFQtsillurrFySI4uu2L1FEbbbhTsarpbtfngyO6MmlxrSSxIHiqlvAXSa9Vh2Z52nXvCXBwUK621ytTWSmWruLX6EkIWlDTeH+deMs4qq0XRZIPOyGWuKVEK48jqPcb4qKLWaZWjjsNt2XZsVmS15lwWCN4xKM4lq2CvlQLntrJq5amO9XA3uvhe1xUzuyB4Wq27cwPAhN5Lc5ENag1InVPnHgm1X7mjIS8rvbpVzVulfFTN6g60RgGTWj+kdSPJqLpW1B05maj7ME6dDA02vial71e3mlvD5ioLy666PNmyV+R/00/KMR2tBZpWpoEdEqSPzjwF1nWBIa1PKVmTJJmvrQ25hmOaEHHP8TmXDGH06qd03hLlYhuqC+dXRa9ivBai1ha5rbIexX71WkGeQpkZ6hmVfGBV+wrjdavoGPOjV+j54XyvldCSZLBqIMAHx5cDEe0D8AsALssfw8yvWiO5PDw8PC5ueItjRfwNgD8A8IcAVrcTyirDNKNXXi6Vr5vr1r5SA6AhobVpX88xtePCrZTWhwEAdEQsEmy+HABwujSCMM6sAiDTYB8m0X6uJNHYn7SYbyNrg2p8SBboa2sKZVJshJQClbak3VpgM9kiGpdZJYaka014Oq7JlNM6QxHCrJSOWg+nVROsRSEaJQ0Fl3rTHB3XUa4yGAAamp8bzE/iKIvFZE2lzMqzqu1Hz4i1tKUuQdipma6zWGxfG9cquYvsuUfbobNoSqrV2fm21tVK0gpsl0AQVdDUtM1GTQK0p9q9KcKTmqo5bBZOQCjrZ5b2a2slq8aWV7OKGCXXXtg4zGDV0XoPuhoILtv9rDTcOrDXdJNoxmeqot2b5Wbrpqo3ocwJwjNPyhxrUD4J5fomK6LND6g1ZpX/nGtkNRvoPY5Etpqmn4c1sUTbak2XK01Eav107vm0jPeqt8jlqTVhltxjp8WaOT7bcd8Fm68d2k53U13Oa8kHHbX2BjGPVkXOXdf0bNZ0duu4xMZMrHNxai5GZIkNysgAl9Qgx0yXhuW6dPuZ+cStu+aEpKxTIQ38vODrOFZEzMy/v6aSeHh4eDyN4LOqlgARKbUs/i8R/SSADwBo2+fMfHo1hCCiEMAdAA4x87foef8awB4ABwB8FzOfWW6MgAj1UuC0m50urdP6JGTaSUkL5k6PiO832iyvxll1aOeLZbse+8DxOewZFi3q+Kxo88/bKhqSS+/UIqRnjsuUPjLRwVVKQZtoO0xj1DUOIZPNzhOnjET7eth1nFD/vu2zpaTFdlUdC2FWHGXFgepft4KykqY6NpUTKc6xyJITv5f/x2Ba/qmWXN9YZQDNpJel1nUE1WG31DNOLJuj8a7400dUkzw2l/TsM6ftfK2nx6HplmOyHa+Xe2QJJk70XKf59dulhjtGiV9d0aNpw6bVW5vdkMh9Nql9MqquDau96ml0TjiIkDSkaM+x72qswWQpGIiy3bRrXQ/GpzY2JYyz3XHp28LGS6ZnZIrctVpRZKSFhonyqZ3SmENdLclWzJjpGr9Vb0+XaY1bnYzFAkkmZU3vaJYxOCXjUlXWt1mznS1XAwC+fkbW0sOnJDYxOdfFdTs07VfbD4/WRYbxjqYbW2GlWpNJYwy1rsbjXEtaTe+1Ir55sdQsXjHZ7qKuaeWjkPEmYO16Zbst69O6Vh84OYtvuEwt9wFZd0lpYSHh+eBStThWuuqvQH7Q3wKJcXxet9n21cLPAngg9/4dAD7OzHsBfFzfe3h4eFw80BhHP/9WHopeT0QPEdGjRLTg946IXkFEk0T0Vf3379fkmvrESllVlwMAEVWZeT7/GZG2ajtPENFOAN8M4J0A/o1uvhnAK/Tv9wD4JIBfXI3zeXh4eKwWViOrSj0uvwvgtQAOAvgyEX2Ime8v7PoZZv6W8z7hKqBfB93nAezvY9u54H8B+LcABnLbtjDzEQBg5iNEtHmxA4noFgC3AMDunTsQzpx0rTtnNFDW7IjpW1d3DbWnndndUZM21faerEHD2QmlLFffyw3bGgsaKRW5lWZTGSNRH8VQJXSpoQOppBZaimGg6bgG4+MJiRCqCyLQwPaoBmQbM5paq64JOz/FbUftbQFTc71YCixrA6mhQCP3Qa7HVNoboLfU3rK6FyzwvOXxuwAA8TNe4dww5gq5PFIqe2sYpO4uVtdFO05xMhZXS11PZzJaG9WqamXmuuom7FxU25qaxqounENVCXAO6DGlXPMnSx+26nULvps/zVJqI01JnQ7qODStXErc60LcUs5o4QGgnSMzt0ZaNpHOXai+v4q1eDW+JgCsCQ9QBgFbD+a6slTv+UICAYjA6sK0NVXWgPawympB66OzMp9PTc5j/zZZZ4NQnU+ZBTrqstwRZe2HAWDoqdvRfvQeAEDpJd8un2l6sbkyDeWcFn1oSsbfvUtktBRrl1o7LWs63aw8cmnsKt/5kdsBANHWPbKPpo5bMy3jhEvB7rttsLRvc03Zd9RSvvdvbWZuVE1eKGlDsdUAESFYHcqRGwE8ysyP6bjvgyjPxQfHRYOVYhxbAewAUCOi5yFz8w4COG9nIRF9C4DjzPwVInrF2R7PzLcCuBUArr/uOavJXubh4eGxPAgIyn0Hx8eJKO/ev1V/vwD5jX0q99lBAC9YZIwXEdHdAA4DeDsz33e2Iq8WVrrq1wH4IQA7AfwPZA+OKQC/vArnfwmANxDRTQCqAAaJ6C8AHCOibWptbANwfKWBKIkRTh9HMiwpoM1YGEYtaJkoY2yQdBGophcGoqFbKugsehsHTcyJxnQsJByaEg3zGePyvDTep0pO2wWAQU3LLZXLrmDJmi5Zqmag/Dz23hXwdVvSAxfAgVkZb09dZGgPynVVT0sg1fHwELkCMutkU9NCwETTMGvGmDonAcdOdQS1YxJSSoakdaez0PTY8MiDyKNz5IDs/4wADQ1SDiVqST0q34egLJpz9+qXAwCOq/Z7Zj7GtTXZ95Ep0YJ3D/U2bporBNp3DVVQccFpvR/KzGpMrWZNWJOjvBFo6aMWwLfAejQ/AQCItRiS4hQ7BkQWs4JGAk1IOPUEgEwLjrTFMCN0PFOBshZboZzxURlvWKA8ZbMJIdQ1UrNUWWuPqtaKrcOAepMYqqGkagOZVh0VLA0L9htfWBhUnXVi96Wm81lRaytWluNqqs2SNl2BihUj1jLrCgBOa7OnI9Oy74NHxJK/bLyO11wxpueUfR86Kfd6xy7h2qq7AlgNqJeGURuQdVfeIzxrrAWo8ZCsc0sy0CRd7GiWMKPXY+ns3UIGQlstbLvXIWUs0PN6P4Zzacrnj7Nixz3JzDcsOdBCFBXhOwFcxswz+nv5DwD29nvy1cayV83M7wHwagA/zsyvYuZX6r+bmfnvz/fkzPxLzLyTmfcA+B4A/8LMbwbwIUhAHvr6wfM9l4eHh8dqgrSOYxWC4wcB5AtMdkKsCgdmnmLmGf37wwBKRDS+mtdzNljxipg5BfBjF0CWPN4F4LVE9AgkYPSuC3x+Dw8Pj+WxellVXwawl4guJ6IyRInuYSYnoq2kPDlEdCPkt/vUGlxVX+jXQXcbEb0dUlsxaxtXq45Dx/okJHsKzHwKYun0f3wYIRnY7HoVW0/rxCpQtcYhHt7hXAA1NQantLe1uUmsqni4WnPjqxWMg0oH/kylZndNgNSd0tVGTLW0g7oG5l1TKTW/Uw10WkOnTiBj1SYfRzIogW6jGTcTe05dEu0hqWavqYkcJm3Xv9mMW6satoCzuXCsGj0gclXlxpvUHNAA9LFH5DoOiCsreu4rAAAzL79Rzj+fOBdR9cTXZeAhcVUk1hP6i38HAJj+w/cCAGafmEL0p78BALh6dkpl3Kcyibuuqe4643wanDmRBUo1b2Kz3p+xIZk/a4wE69kdEio653FJ3YI6KaEFRa23dVfcKeWohpL2gg+nRclLHlZX9Li4U1hrAOx8lMYuYG6vSaHOwu6F8ShFQUbJnw+YywbbrjUYHXk/oPNMaYzJjlZAl3uTCIqv9hs1WA7dvtYC4HFN+oiMP2te3o9Wte5i+ji6e8SbMq/uMmMbOKgB8NGa7HvTteKS2zZQcd+XR7Sa/HkalDcXY1fdxNGsBMmbQYJg6pjM6az8hMSasMJBb7DZmqAFYd2NZ/Ua0/qdcAXl5trM0e07HjJN8hibOorVxGpkVTFzTEQ/BeAjEIfzu5n5PiL6cf38DwC8EcBPEFEMoAXge5i56M66YOj3wfEj+vq23DYGcMXqiuPh4eHxNAERKFiVrCpzP324sO0Pcn//DoDfWZWTrQL6enBYPcfFDQKCIKtO1Ven3Vt6aVjKWGuJiiMAyKqX7XHeSRjbNSW0Pi8ac4dFszReIdeAyVqkAq4lrG0zBlqytpjW6EZbenKp4uQf1WMtYDumht6pxFrUqsxJ1zXzsSC5BdtLqs3ZeeKKauGcoPOJvwIAlF/9ZjlWZYNWM9M3yPZZXSLN0KrFU8eOW9v6DABAdFBSOP/rZa8BAPzgz7xEzqMa4I3/4+edlp3ukQzuRFOSre3siFp31iwpGdiM6diqu0W0oQmxcCwgPTskCQK2iOsnHnbaO1WVS0pTlW0OHLeUojx3KksbtSSFzWI5GZdUXBt18wYA4fQxdy/jYQkA2722NGnHTKucVXHKLqBtlqZLatD7F8M4uTQArkzBM6VhjJdExo5aApYQYPxZtnYtfbVeClwK7aTO43RHzrutqUyxapEMTUkSQHfTVZjV1G035xpo3ra1qtd+vGc+W6WyY8MdqsixbbVwTmml/Hitt91xdPqAa43Mlpqu1py1wi0ljqACgHDQFfna7Htq82rNyU61NXElypgkzBqZ2PwsrB4IiFYz2P70Qb/suCUAPwHg5brpkwD+DzN3lzzIw8PDYyOD4FvHroDfh3TW/D19/wO6bbnugB4eHh4bGORip5ca+n1wPJ+Zn5t7/y9aiHLxIAiRVoeyvt6ugU6lZ7ewPYOKNVKy3tVGKhcYBbc1+5HtUUDOBWE592Y1u8pUc1klmRuCHpWqWNopLh2rhmV1n5irwgWt5yddIJ1UbgsItjRAHCUZZTQAjNaaziXhXCCKtCEuFkcBXlaa8IQw+MrvlW3qPjjZlaWQDA6LjI5gppeMMAqAU0pNXhuU62m0ZM7f/hc/DgCoPEMCrFTRuWpuwqGSBJgnldxwq1ZWm6vFqo2Vkd3VagAZNX6slOKRBrobU9JEK31Mqtq5PgjeJqntXesJbvfQ3IRlpYDX3udUHUB48nHZSbXHZNs1Mp6uIavAr6nMca55VifQ2h89j1V/hxrotloDQrZWjNDPNV1a4sfH1kUZhNMdmYOKumOsqn2y21tHZO7Xoekn0B29TEeSdXHdJllT5iZCKtdwuikuv8lWiq6uoWKiiFVtnwgkA3SrFr7Vp48irmvtirryrLbEBedVtsZ9t8mg5So6z3iFnEddVC11wVXsxGmvG3k25gXEkU2tTzKiyVTvKWuyw9fPtLFrUGu1Ct/xVQHBPzhWQEJEVzLz1wGAiK7ARd6Xw8PDw2MtQWdXALih0O+D4xcAfIKIHoM8Zy8D8MNrJtU5gInAQYi0bHxJyj9lloFZHgm5ynELXBqNtsG0VJfGyuysEGt8FOiHxmcV0SKazJ7rZDzjn1ItNVYtH4X8bqNUz5/btCljlCwpbfZASTl8GIBZHJq6iCckWB2OS+DWNMxAqap59AqnkZv8k20Zw1qD2pzY52adHZ6JnSbZVqsg2fdKAMCwpuXGx6TpUHDZM+V8pQq2VOT4rRrkT0syB1aBb+1hZ7V503A1clXQp+eNHlxmYUhTrI3jia4WGnxOY7Sbov3GaiU4DVOtPNNww5yVZtXzc5rCa+meHWsUZJquatQclpAqL5jdqNhyI6wRllocZW3GxMiCuK4PrK7RDsmcu+C5IxJTLq5uC6N635+SpYtqU86fJknPkJurmoId1xzV+qhmUszq/To6Y6m7lirc29Y3Dwt0T8wbn5fOjar/1e4chmbEAmwOavqyWXNqvUQnJcWbNZBMtYazSobUOqjq9VkwO1FLbi4R2dOUM1p9l4iiuqsF2nWzUefvG606i31BEstqwFscy4OZP05EewFcDZmuB5m5vcJhHh4eHhsYBPJZVSviekhjpQjAc4kIzPxnayLVecA4gkz/d9aDbQnLjtPJ/OpLldG4JkfImv2Y0mg+bYttmJaYRhX33rRAaxkbTkrxUahFSC5NVnmTwFnKJ+t1OF+8EaW6C9UU3yBERy2nL7/m9QCA939NUiZ/8edfBgA4+TO/DQB4zoP/IOd/yZWYUs1+hOT5P6qtVu36ntRCx53K4zR4VKyYgVIN7SEp1pox6+CEkHgmZ+S86aQUFfKjX5W52rXXMfjGqpUaj9Ix5bOaavfGZ8ohOe3W7pNZPzZfVsTnLKlyA5HOurGWZm1t1e9e0tiRFgpyqeaYjTs5ZmMACFRDr2oTMGqrPx5lN0+W5mnrI0l7F1N+ndg6KzbLKq5DW6vOmi3XXSHc/Se0WJFk7WxpyP2x+3lE53PrwGYM5Vqoyvi9VvKcxqpOzsm9vnyk5lJczQLsahzB+NvMIh1oyb1OHv0qwoFhEVzvrVkANq/1zVLsGWgh5Uxp2M3L6UTjZJqKbNNXUWPcLIZqSCC1vq35U7FY0OCat9FCS4MX8wycK8gHx5cFEf05gCsBfBVZbIMBXHQPDg8PD48LA//gWAk3ALh2PUvcPTw8PC4q+DqOFXEvgK0AjqyhLKsCo6Z2ATNNgbVAHQfRAnN1JeuVCKiymPPBrNC0W0V6HPam+yLfDEjPbfxIyYgEqy2AXzw/MbuAaDGIxwXmZTPTiRlVrTwf3Ckpuz92hci27RtfAQBoDImr7OcmpGr715lxYEJcVKVRrYBXuY9pQHVWg5eVaXGrPdC4FgAwVAkwOy1zsaehXEQHtN+MphdH171KZNR01rjSQLsssk1p051pda1YY6XY3Boa2BwoB85NYb2yo7ZU7dO0NkCyHu6atsq1ITcvJn8RLslB03O75QEYR8BIqO6y2JpLKYeZuonaFTnPXI6vy1J1LQ3W3CQu81b/CpgRaKp1MUXcXEd2jLnbQgsunziAuU3i7nn2Ztn2hafEPfetV4/1zNFoqvxoky2EygJQiySh4+C0HGu91S0346S2D5juJHjGJlmbe3VdNAO5T+Z2Mpwsi9tp9PpvBmZ6e4tPBZLubimwXXM5agV+3EkwaMzygd1/2cm1ItDZMDfhfAJUrTrfeM10fsw9XEyvl3lUt9ZquqgcyLVBuNTQ74NjHMD9RHQ7ABcUZ+Y3rIlUHh4eHhc7iEBReeX9NiD6fXD86loKsRogZlCaOIZRx4VDvRogU1bM56ySPvyU1pYVmkpr78O8tYCMCZeRZVtYMA+qGRW1H+cAzG13GZkrKEpMhOSrHwcAfPFzUhD3ox+UPvZHn30zAGAbRBP8h7/+DADgv75+L377U8L79M6bpNjtTm3Mc+WoaKe7VCUktUCuaUsDKU4rOKkFY8GsaJpoSBqrNeNJrBmPYioJMTFjqaEWbJVXa7g0X6juasXsmjBZwLaqXFuhWgJdvQflOQ3GB5HTOlUBd5ZAVUNz86l8MKkteMNumqXJGtRyCuZ1XNXcZ3MtXe0YE9u8uBbcLZd627KGccv5w50G7m4u5/7POKtiXUPhpn1uHEuT3r9d5uKozutuNWKPsmj7mweHnGbeSMUK36v39hHltH5yUrbff0Qsube9aDfGtNjysTNybK1kQXFtyayWonGndcIBwBio9ftk1s+8JhcYOy/neNzmtcBvPulNpXXz6vjk5PrKYSVLh7bkAguS23dFxzarjxFm3y2b89hVtq4OvMWxNJj5U8t9TkRfYOYXrY5IHh4eHk8DrCI77tMNq/W4rK68y0IQ0S4i+gQRPUBE9xHRz+r2USK6jYge0deRVZLTw8PDY5WgWVX9/NtgOJs6juVwrtlWMYCfZ+Y7iWgAwFeI6DZIn/OPM/O7iOgdAN4B4BeXFUArx0OlPTf6bFdfYS4so7JGfy6qIiwQ54pXC24mC9jmz+3Oh8IxvYcu+lkRxc8DTvBPP/RbALJK5+BaoTXf9vBHAACnr5X6js///lsAADVK8D/eIMFuq1143ZXybK7MaIOdp8SVlWwXnq3wjFQHH/7z92DnW6Uh5MlN0i96dKfUdYRK497VOZ5ibQY0H7umUlNt7WntOOvFVWHcVB11a4wOh85VZTUf9jpcregxWuegTZTmE85qPxzvmLyfZ+W7ShdOsGs4pD3nTZ2K9F47uvMoc6NEBe+WuR8rBbeX0YOHs6dcP21zUYX6WRpYIzHjnbLaExmjG7Nz/2hZhUsisPvX0n21rANB64zULAHOhWScZtYg6vJhSd649gXStXS8Sq7mY29FEgLSmups6iYainSsM+Km5NEBJFrBb9djr+auNTeeBb4DylyTrkZHvx12LyrKCwbOkkUy97PWfKhzypqp2T1xX0lmRNOynq2hm8m6KiB4V9V6gJmPQDO1mHmaiB4AsAPAzQBeobu9B0LjvuyDw8PDw+NCgkA+Hfc8cd65bkS0B8DzAHwJwBZ9qICZjxDR5iWOuQXALQCwa5doTTOhtq10VbiCslYZp+X6goDZ2WTqWUqlwVJOqavao1oczAsnxTRXLqRf5oN7pik7zbgQ+DMttJpIwDtoTeLmz/0JAOBvXvRDAICDv/7/AQC2PF+sisEnHwYAjCkj7kSy2Wm120JNbWXRPo9Ewn666SqpAm45LV/mdeKn/xe2SFwWYwfvlGO13W179/UA4Ky+VirLqxYFLth5UoPtg9XeL9x0oXL8y4dnMF6XuR3XgK1p2Xb7TAu3qulaKTBSAFTmJW26VRGNuRj/tqSGFMCEatmWYmuasXbTRUlZZBNSCyRlRJomWtL10Mk1bMqjrIsrrTQyNlyFNaQqaRvflmros11L6c72taC0C/arej0yK5bg7KCkelvFdTsccXP+t/eLdVCJ5DpeulvOd1VTLnRGLa3j8ykOTsn11MaHAQDf/FtfAAB87OeED2xem0I1NKW8OnPMJRNYUsSUWpHDLFZLR1OxZ3Ri4yRjVbAkhkrYe4MseF5WT0HASZZkoq/2vTWrxaY+tYSEgBybtR1j635VQARcollVfdlZRNQgkpknon1E9AZt7mT4gfMRgoiaAP4OwM8x81S/xzHzrcx8AzPfML5p0/mI4OHh4XHWoCDo699GQ78Wx6cBvEyD1B8HcAeA7wbw/QDAzPeeqwD6APo7AH/JzH+vm48R0Ta1NrYBOL7iQCyae63Uy9xqSFXzyMcIzDcaFHylxX4czNnfFuOIJkTTs9akpBaN9dHI60/GnFpM3Sz2Fwgp22baovn1Byq9nEHUmnPnTU5KAeDL//UrAQDVYdHwWDXB2vOlpWu3KqZCLSLXbpbV9390XsZ95LRYMpvqMsYpLdg7/Zu/DgDY/a4/Rem4FPw5w02truhrHwUABFsvBwBsGd3jru2wdu4drirXkarG1dDiBvJ51QUPOjg0LamTZdXmzTdfUn11QrvdDuv2oDOLE2lNjxkGADR0vsoTTwEAKppaa4WhYAaX5Z6Zpmz34Pi8/DFYFh0ptThMylAqJwxWZJxWt/dY034HK8pTVqtgUuM7plzXG6LsWJzC5triPaZJVyJy1lVaSDfG8cflOvU13SWtUcPZU3iitgcA8OZnyxqNHpTkSGoJM/Jk5UoAwNCkHEtDl2OTWnkWg3j3j0hvlUPTcsFmubW0AHCMWohOaqq2rv1BjTmx9nixOM9QRaxxaxcMZJZGnLMS8nNCZLGQwBVGLpXObt/fOM19j806sbbAwSpaCJcwV1W/j0Ji5jkA3wHgfzPztwO49nxPTmJ3/zGAB5j5N3MffQjAW/TvtwD44Pmey8PDw2PVQUF//zYY+rU4iIheBLEw3nqWxy6Hl0DcXF8joq/qtl8G8C4A7yeitwJ4EsCbVuFcHh4eHqsI2pAPhX7Q74//zwH4JQAfYOb7tAPgJ8735Mz8WSwdWH/1WY6GhBkltupeMSGL5ithYe6wBR4rheZFpVxENdRmTKma4dZydaEYyl3EKbraoKfYZrboorLKWklF1PTK2GjAe9Mua7FU7Lp2p5UGkmeKi2qzNlIyHiaqSxC0s00aKpm5DsA134mHJah6xxMSTN4zLC696O5/BgBcOSZB8s4bXifXMH8a3BG/k/luu5/+G3mvzXgibWBlwcwznYzWfKdWpFsjH3vdofTt5sbY1ixjt7b9NLfJtO4busC6vJ/WYPJQdx6DdQnaltU9YpHu+SG5Tgt0Wztdrg254884V1JGyw1k7jRL/6wiW1fOtaivFqi3BkjjoVWhT2GzBsNbyjvVKVxX11VLy1iblcK8UQrcZ7YuTCbeJmOZv2ZSXXTh8DAGrBr7YWEMSK68Ud4/eRcA4HR1DwCgri7FEzMxRtWVeGRGXFPWOram3w1LJLjnmKzDl+0eRKDtASJtFxCbTz/NvgtA5soKkKWOW5Muu55WrHxn5mI093EQINXUB+NVSwv08+berSeaCBPUXJW5tTIIzEW5GqCFFPmXCs6mcvxTRNIEgJkfA/AzaymYh4eHx8UNOruUzA2EfvtxvAgSi2gC2E1EzwXwY8z8k2sp3NmAwCgnbcdfZNqiaX7G8tmhCGXVOk9q8K6dWOtMgRmfbMVIUeDS7oyR0523M6t/9KYKpkHoUkM5Z+0AOcZPTTkcUa3OgqdAZiFZkdsmFm01NobRy56vsrJrZDR/lwQ/o2/9aQBAVwOBptUnLj2WUVE5rXXrG7bGej1CgJxeKUHRiYqcb2BAWrIeCYbxK3eI1vaN14o1cu0LxaK5ckTnyArqXKA/wW4SGSc7Mt4gJPDNtV72YtcoKyCMK6+VXR+ppROcljTPmlp/4ZTmTsycQkUL04LLpTiREmWYtQjqjPBPmTUWAxjSFOpaUzTnUiznCbV4DB3laRqUlO/5JCvIq0KZdAPR0Ee0pWvQFosmjSQYn9ZHXBOriiZWlMty7ZMs+1iTpKGTDwIA2p//F5HjtT+CTiAyWhB+rK2MtAXG3VOtbH2alTC3U1Jp73xSZDo1dxUA4Acf/H9yrLafvXLvfiQNscxGjkkabrJXmISiE5LSXdok3GatWM53YLKDq9T67t4pnGml/eIsiO//osh/nby3tXamneCBE/K9ee5WSfM+Pa8WtiY6jFZ6G7IBORZptagj/e6FWuzLyp5rhYfh7CkEc2JJW1quMfiuGjZgxlQ/6Peq/xeA1wE4BQDMfDeAl6+RTB4eHh4XPRjiju3n30ZD3w46Zn6Kes2yZKl9PTw8PDY8cum+lxr6fXA8RUQvBsBEVIbENx5YO7HOHjETTicljLXFFWGugqZWs7K6bapTRx31+pia2KSmejdcnM8onJ/CpDanidX/smlWOXDUhdP9v78DAIi+4xfkdfKI6yk+o8daMNQqgptKWW0B1ZSzGg8LDm4KxLSefa/0Dec3C2V6szshsnfb7noq10rwM1X3RVi1BjdyvvGy/HG6G2BQA5YDibh9zOU2M3QZAODOo/L+8mGR7RPHZaxnbEqxc6Su8oqs//KYJA4888YdPfOW5406FchcN7VOI/3oewAAD79Xaj+u+ck3y/Xe+B0ApE/2ca1r2Br2LlNqi2yRuq6S0xL4pCBEcJVUrx8qbwMAjKm7yzi4To3sBZA1bQonDoJ1vqrqmqIpcQNZD3Vc/WJ3HYDUhpRZjn9SPZUDFZmf8dMH5Pq0udTDE7Kf1BWJvMNVqaswqvnrKjJ/wSGhxbdK/PB1PwoAeHyWcHh6tmdO55ri8tsXCT+YBX/37JD1SGmM6MSjAIDjw3LNVol/+Yi4yOY/KvU45R1yz9Mn70d3ZI8cP68Xpvf4sYaMsUMX79UWeecE9NAdcvys1O52vvRPAIDJhyWBY8sVmpxR0+sicmvHmoEdbhkVuuDrZ+SeWE/1VpxiVF26rsFWoi7MWXU/KhdXZ1hciqg0nftqrjwMAGjMrHIvOv/gWBY/DuC3IDxSBwF8FMDb1kooDw8Pj4sf5LOqlgMzn4RWiV+siOanMP7QbQg3SXAvHtsDAAg0jbY9KJYH1YZcINHYcQPVtudS0W6sStuYdNNyAzUN01n8ujMq1dHmvSt/84/LmBrkDaePIQnknEHVLA5lFtWg+FPaSGeklnE62bnN8ggmRAse/AZhuI01yM/KFdSqjKB+r7Dg0ha5ZquKPjXXG8j/zGE530t2DaBV1vRUlX9CEuYwOSfj10sih2l8I7WMYeb79otlYUymxnz78BmrziU9v2iAOwfLuGxSDFSzDo7fLQHgySdEa3zkD98LALh2l2i29bCMmU3CuvvErNyvugaTNw/1VusGqoFOju1zlfa3PSpaaLMic3vjDgmk335gAgDwzM1yT2qV3Tg+K3Jvbco4u09IlfljfyIy7fvlKwAAj8ZSef/U5DxeKYo9djdEpo5qnt1xqcYunZExNqlV+xd3H8H3PUetICVYrkUyp585LbI8NiUNsp7XEGvlmXpdtSjBrkFtk6s6+Z666ub3fRUAMPfoPQCA8k17AEib26lRSdWtqVJ8lbaDdRX43/lzAIAzLAI1SwGqp6UKPH6urDfTqKNA1pKlA5c1CeXYbAy+TNLBL9OEikBTnce2K6GEfo8akHm++uRXcNVusUKiQyL3roZYUPa9GlAaYGOAGKtFbr0Z35nN7Yy2tR16WCoEUk29/qcn5vHCnTKXQ7omzTJbNVyiFke/XFX7iOjjRHSvvn8OEf27tRXNw8PD4yIGUf//Nhj6fVz+IaQAsAsAzHwPgO9ZK6E8PDw8nhbwlCPLos7MtxeyquKldl4XVJvgq1+M6ZLkdDemJNA4MyBulSmtUJ2YDzGmxaONkpjBNXXtdLWw+lENzO1oiiuhFJILSjZZ3D0dpSEnqwo3X6cGnePR3U60kRMShGxuEdfLIe26Y9TieVdJrMR6FQ0iN9VtwpovHk7IdQXaNIk2XenIDC0Yb66BM20Z44SO/+KdSlw4F7uK4Amt8XjsjFxXsxz1yPToGdnv8mFxc2yvJAgflfx8I9RrVcUN5KqM7/kwAGCP0rlH2y/HzKMyB/OnxDU1cq24dPbMy3k6Gvxt3ydjB4NjaOp6a1qlsBIUnvkLSRQoqZto8Cahiz89n+DyE18BAPxgogHTbRIsp44QQW67WgLBdxyW800A2KTuOKt7oJrM4+W/+W4AwJTWUOybkGDvVWNDYK3PsLqA0PqhtyXZ4HBF3FKcowlwc7xFkgumOuLK2z0k4790XN2TWtWf3nkfAGDHZc/Emb/5o55rLr3622Q+dY7rL7oJAPBEIrLvnD2BuT/5DQBA9VlCK5e+TOjfJttyz8fVHVlmq8DOqrwt0Px3j8r1vO4qcSVZoyerY9nSiHDfCZmDw7G41ppl8eM98zr5DiQzkmxQOi6yPrXtBdh1RlyVJ/7hfQCA4f37ZU6eL8dY8kLQlXUeTE26eayNiQsunJJ5GlBa+vSqFwDIAuzfXnkcaUvaBCSRyNTZeR1WExsx1bYf9PvgOElEV0LvCRG9EdqAycPDw+PSBF2yBYD9PjjeBuBWANcQ0SEAj+MiC5YzBWiXB1DVqvC7uqJpPLcrKYJNTc/dPLwdJ1Wrb8xKuuXJiqQJWgW3UXvXQ0cc7hYIB6LxVbSa2VrUQlNiLVBXro44DqrhpgaNT0g71h2bRNs+E8u+W1Xjrc8cxRlN1RzSSuT46pfJsY98Ts73pGjureeKhtk4fDfia6RVbKKWU/iIVP2O7pFjTTsMVBf7xIEJF+y++7BcxyuvFKvh9z9/AADwffslwPiRR0Rb/PkdkmTQ3bwP2Cry25w0T4omyVpdn7SVDv3lb5TdZk+hdo2ktFaU2v1kLOdvvr43DbOd44dK771NxnumVB5bFfDwD0nK82RZtOAZDZpe/tQdSLaLdh3WxDJLKhJ4nnzf/wYAHPmCBOlf/F/+MwCgc98XUN4j1dDdK0XG+OiTAIC5T0hldWlQLIRjj4qGu+3NbwWf1IptS53VQPYnjorG/pnHxFJ87T6hH79+xxD2joll0XhUuKOuUovNmoC1y1JZzqOypqolbUKUxog0tbozNasyHhCZp2R9V3T97T75VSfX+Hf/K5mDAZHB0ok1FwOnY/nj8LSsz+uSA5hUbd4q+K8el/m7S9OzX7ZNrvNo2+jwGU9qkseorqmrRkXWM2rZjOo9N+tsSz1EekCSPqaflNfhG2VcszSMqj/+wj8AAKKXfKfT7hvWwlfbwZJaeWYlVZSTLd5ydS4RRq41Uot9VUAE+KyqxUFEIYCfYObXKFdVwMzTay+ah4eHx0WOS9RVRZzvbLTUTkT/wsyvugDynDP279/Pn/7s59x76wdkPnwrvmuWAqdN2bYPPSTa9Hc8QzSYo7O9vEmXDZVdaq6hzZrSqDsZe6nN52Q7ddxTxvw6fPoROfYO0aSjreLP5ZZoc9QYxBNXfiMAYFtTm+BooZmlEVqLUONIAqc40RHLZfuEchzd/yUAQPnZLwUAzIyLFhl96H/IdTUGEb5UrIFTgfiHjSPICq/uPy5aXKSpti/YMej2s1jAUe1mNKYqbOOMNvQxTdn85YcexIkrXwEAGNJ0Y2PBPa5jfO34tF63aIiVKMDR6XbP3L7yckm/nG5bcyuRw81zs+SsROO+Ms21fETiBd1xSa19qi33ZGcjQOmUyI1YZOHT6oXdLvNmWqtpzJMDuxy7cKpW3lxVrB/X2jVVdl5N+abWJJLPS5+y0i7V6geGAQCz25+LPBqH75axlYuL2rOuQDMZlpgdK79WOHlUZdR0adWAk6Ht2fxrgaNZx8YhZhbxnGsPHKLWUUtaCxhNQzc26EmSe3tIrZRnDGW1DF3NtSkr11eR1y06Luufyw107xeruPQMjUuU1DKItPWyMemqpyAZ3uks9q7GCsNJiVt1h2ROjCXX2I07Sep44Sz13hh0Bxr1rzDzDTgPXP+86/jzn/qXvvatDo2d9/kuJvRrZ91FRB8C8DcAZm1jrmOfh4eHx6WFS5hypN+rHoUQHL4KwLfqv29ZK6EAgIheT0QPEdGjRPSOtTyXh4eHxzlhleo4Vvq9I8Fv6+f3ENH+8xObAiL6rnM+vh9X1YWGxlUeBvBaCMXJlwF8LzPfv9Qxz9u/nz/x6c+6qmWD0ZIPxRMAxI3Cn3s/AODUCyS+b9xUlgJ773FpBHPliJjNO/kMYustri6r6Vj2HdRGPZYC2yKt9kXXmfBPzWiQUHmTjBrbGgfta6qJPXUE8Yi4r6a0p/XY6YdE7gkJ5FuqaPcysXqnOqnrs17Tql9Hb/38bwIAPB5K0PXyRDmd4nn81gFxOfzk9Vt1m7gzzIWzq5q4fQHg8p/8EADgU7/9vY7+2zJNraLXUly72sDH0kx31eGaWpnrzeZrFjJfD5+W81y3KXNRTIbiHhtKJAAcnTog42tjKguWnlKvUMKMQXW5WSDY3DGW8GCr47i6yjoJO/eZVUVvb/SmVhv9vaWiAlkihbmmKlRoWqT33txbHFWc62Ze14hR/5tb1TXasn7wNkYau/myH6GOcq/Z9ViDKrdfrhe20esbXXxXe7hbWm6esn9e52DolCQ8TP2TpMs23vRTMry6rAK9rujYQ0hnxZ10+gpJxhidPiD7KKdYOiUptWeuFELtdpxiSyLbLMBtiJTry1xWgTa/mhjbh3qp1zVpWq9954t9y5tBghaHPfsYVsVVtX8/f+6zn+lr31qjueT5+vm9I6KbAPw0gJsAvADAbzHzC85HfiL6NDOfE8t5v/04fnuRzZMA7mDmD57LiVfAjQAe1YZRIKL3AbgZwJIPDg8PD48LjtVxVfXze3czgD9j0fS/SETDRLSNmc+nLOI2Ino7gL9Gbwji9EoH9hvjqAK4BhLjAIDvBHAfgLcS0SuZ+efOStyVsQPAU7n3ByFP2R4Q0S0AbgGAXbt2gYichWGBb7OonkwkMHjg1DzGny0W2p99Wgq6fuJFUhRmFsEeLXYbVE00OHkSgaZ1mgYelIYBAEmgzLSqKTU0qIg0ccG7K1X7OxxJ+uXXtRDswZNyrz6rMo7Vh1Cd1LThhmqUY5IqWt78DABA9Ut6C7Twa/RZL0WiDYJS1d5csF01vsuG5PVYSbizOu/8cbzu538XAPDYlFo9iaRFtgMJNFpDrEd+QOZq942/CEA07Zo29ZkcFV6paEYsmReXJKB+X6iFX3pdU0mE0Ulham1/UZhTW68XDbb+CSlse/5VzwEAzP6LBBtnj57C+Fsl7dYCpKyMrTavVhBoOit1WjgGKfSydrOu5a6q9dsrGkhXpuCkVHeWxLDd75ak/UYTch7aJI2P0oqmiKa8gOk4Vt0/JNX09fOyJgrMxylibaSl9Flo6z5qvKKrXGlZ62JN6KDUWSupcpSFej5jmU01mBzOT/W8B7JU51BZZBNlj7Xvhmn3YdJ2aet8Ru5p6S3/QeZErdkT4YjOgRwzP/xsbN8pcg+p1fNAKAkcs5E2iLqyijy+fmYeA1vlrg0c/hoAYHqrNN6K1GLrDkoBpTGkNakL1vkbTVVGnQtDR5lwLQCehiXUuvJdS0hkyDdLO18wEbh/OpFxIroj9/5WZr5V/+7n926xfXbg/OrpfgSyPIoN+a5Y6cB+HxxXAXgVs/gZiOj3IQy5rwXwtf7l7BuL3Y0FPjWd+FsBcVWtgRweHh4ei4Md63w/OLmMa6yf37u+fhPPEtdCHhov1bE+A+AP+jmw3wfHDgANiHsK+vd2Zk6IqH12svaFgwB25d7vBHB4Dc7j4eHhcY5gZ/GdJ/r5vVuL38T3AJgCYKGI79VtKwbN+31w/DqArxLRJyFPvpcD+C9aEPixs5W2D3wZwF4iuhzAIQih4vctd0DKko9ulNGGU9oM6LIhcTPsaT+J0809AIDv1+poC7pZAO2RUxIcf82YPBPjzXvdeNY0aaAlbsAZSP5+SV1UFrClAGANEk9/UiqQt71YGxDteiEA4AXbJEh5XCvZj810UdKIaVl9IAORfPaENv1pPu87AWSB3OOzHWyb1/z5UEz30y8Xy/NrR8Wk35HIbd7SlLnY8x//wOW1V5TWmpWy/PLPi8JRfZ7EzAZ2DgMA/vhHpMf50ZkY84PiurldKdHH6xLELoUyB8/VAPdDp8RNMBScdvNSevmb5HVWLOzktdKsaEJdjANbpcah/MUPutqFx/7LrwEAdn/nNwMAgvE9AIDJSGR75LQEap+5aQQVdf8MVJQGX+fp8IxkGwyqu6mj7oxakuKpKbnPY1r5zDUZt7lZXSH64zD42GcBAOll1yFWbqpD0zLuvFLmD5Z7g7FHZ3up5gEgUXeJ1RtYXUxbx7Ae8V29lnaSYKvWt+xUV3S3JLLZqKd1nY8pX1nQmcVc1OyRrTQs691cYZZU8WRLrrscEga0x3xHA93OGVTw5VvzsU31yLntOs6x1NXrkH2Oa13U1eqOf8H23c6VaG5WS7CwgLprQaBJKV0EqMyLCzGtibssVA6sROtdahNS8T81IL+vk+0Era6yM6holbBv11JfWCU3Rz+/dx8C8FMa/3gBgMnzjG8AwNXMnC8i+gQR3d3Pgf324/hjIvowJIhDAH6Zme1p9wtnJWp/54uJ6KcAfARACODdzHzfap/Hw8PD41zByOIp5zXOEr93RPTj+vkfAPgwJKPqUQBzAH74vE8s9XkvZOYvAgARvQDA51Y4BkD/leME4aa6gpn/IxHtBrCVmW8/D6FXFdc9bz9/9JOfcZqdNY2x9FhDLZ13Ae7otGgoVrlrFa+zGkhrKBNuMD/l0hBLWv3avvfz8l6rgHmncCS5it7D96N7QHiRDn5YGsyUB0R/2/QCCQRHL3wDAOBjE6IZ7h2ru5RCq5a++oAYdEFZxrUK7MOq6ZZCclXf9x4Xbe3qcQnIWiOlrx2b0TFFi3vNFWPYXBedwQK0FuMbiWSf9BN/BgCoXCPsslbFPNXc4ealdFICpg83ZA4+8bhYYe/73AEAwJ++RY79+GOn8YNXy7Ubl9P2wax5UB47ArGS4tve4yqrO8dEsWq8RqyV+JG7AADhM14ksmmQ/NF2HZ9/UrTSHdr4yNh+XzQtrLmBpjNPbX8eAGC2y46rKd9QCwBO6PztHsyC4gCQIrMsLNh6TCvgA53I+0/InL/vyxLPvGJTE8/S6ntrfPXyy+T6LFniyIxYPjdsl/2MY+x0K8HDp+TevvYKOaaq2rXdl08fF9nMet7aLOOMWiGW9KHGF7YqK8HkfG+gOArJcUU9JDF2XFPVZBvjZNIgvTEOfOXIjHPXPGNcrSBdSyd1/i4bkns9lmZpv4bKcUk3n9ska6j6NWlKduaa1wIAvnhI1sMr9wzhKc1Rt/Rps9CsYdk143LPq7Niicw3NmFWU98tBd5SyPduHjzvdNzr9u/nf/nUZ/vad2ywcdFVjhPRAwCuBvCkbtoNaQmeAmBmfs5Sx/brqvo9HexVAP4jgGkAfwfg+ecos4eHh8fTHk/zjJzXn+uB/VocdzLzfiK6i5mfp9vuLvjH1hVWAGjcNFaINa/PRnMxT84n2NoSLTAe3dMzhnH4lDWtMHpSNFukCdAUzQ6hct5oumA4JdrwzKj4/Y33Z9PMAZwekPFvPyza58Mn5fXbniF+24pqnveoRXDD9gHc9nXR2p+7VbTO3UPinDVf+mefEI3a2G13D9VwXWVC5P+kFGtNPyFexIErJc2YvllSX43hdMdABXccFpXyWVvE2ilba019NS1850C5Z/tUJ8F27VNi2txRjR+cbnV75vO6LaKBnmolzoe9PRFeMDoiKb0n9wiz7yjE2nuyI9rpnUem8Yhq7a++alyvWe6laZyxqo+bIpH1DFecLB+4V9JJa2oZvOIKuX97tX2quRg+8+QkSnofrhwRS+3glFgA1j7X4k7WRvdrx2fxbI1/2Lz87X2SzvxalXVe52aum7i5ee5WmWvzbhir7H/4gLRYfds3itb90l2izW+GFj5OHMYTg8LPZBqzFWiG03Je8+s/PiFz0U1TVCOzPrT9r1oTLdj9k8G2TooVDSLEo7JmDEc7Mud2/0YjLZzUokKLOwBZeuxTLTmvxQpfvEvWci2W9Xc0qboCyhJknqzwLx2QdOqiZbpvAHhyzoo75XzWXnZkRnvWWAqyFkF2h3a4NWrfS7cOR5YuyOsX1z1vP9/Wp8WxeejiszjOB/1aHF2tbrR+HJsAveMeHh4elyguRuaNC4F+yx5/G8AHAGwmoncC+CyA/7JmUnl4eHhc5GCI9tzPv42GfrOq/pKIvgLg1ZCsqm9j5gfWVLKzBIFQDgOwq8K15kUCS33cVGGc1MrmcaWMtgrr6VEN0M2d7Bk7Hd/j0gYn1Btj7pJAq25dM6MxSd2dHbkCofokzK1hQUQLYhtm2mL+j0w/gZfsFpfDlw5pdBLi3jD3yRceE1fWv/kGaaZ01SAhCTSl8WXfAQAYvUICjmRU0spDdbX2zB188GN4w26p1A1nxK3FcxK4tGZGW3RlPNUWmS/rSsBxYGAryl2l+A7FtXP5cEXH73UDWTB5cyNCrStBzgc7kmSwd6+4qB46Ii4qCyZ/6TGJ0736ms0oq6vFXDozHXGx/PUBmYPn7xoGAOxUTqwHTky69NufebHcY0vDvVNdc3cdkVeb8zAgDKvb7wsa3L9mqwTbX7Jbxjf+K3N7nGl18fYPCRvEdz5PKu33acMjazdc+9SfAABK1wtNPg9WwCW5Dx1NpT0+K+P+wZsliWBfKOfvqktuLpHz10cCbFUZw9YEAKCtqc/hiLiWZlqxzpXM576xhgtSm0svKWt1ua7Dkaqc/08ekXvy5meNI7AGZZryOqqF8BW95+iIK6xUFRkPpgOOVt+wp3NAxt8hstXavWm0W9IYDOP00u9RR+RONN39lZu1Je8xSRdPw12oROqyVDdXOZH5nFQ33UBb28xqQ6eodRpDmkZctfayq2wgJBvxqdAHln1wENFo7u1xAH+V/6wfThMPDw+PjQjmS9dVtZLF8RWIRUaQVK0z+vcwJIXr8rUU7qyg7MWmcapy6BhIZ1Nr6ERI9O/WkBREWaHVkGosFlif2yN0MSkDdU3xq9W1DadxAmkqKD0pZSb1IQma3zER4sZJSQEdLmlL1c3Xm6hyPrVahk5KA6bjf/bHaDREe/6WH32nyOiuR8a4+Tky/t6SnD984lGc2CHJbY91RCMb3iX7XKGBdeM5sutEmrpA+snHxOradNPN8tmn/hwAEJ8RNt4d3/52AMCptgT0g26KiUStrIyAFQAwoemdY1qkVtImR+AU6ef/DgBw9QvlPJPxMABp2AQAr7xcdJQf3SWa5onGiEuttoxd4yH75KNiEf757WKd7N0i92D7cM0lDRgr7tU10Uq375PguBXXWVHc3Udn8GENpHdiLZDUtNJR1WwHJ4XTbGxC9vumq16ImgbOb75CS+S+KK1p+AlNyx0TK9Aabz051UFZzWGel32euUksNgsaM8t7486yQO4j83VQWzT9qzT+WztzQOZx8DI9VrbftEebaIHx9Rk5fkDXWZjKeQ+p8bBrQL7+f/4Zub4f3FvB47FYTtt1vMqc8FudisRaGKnKPS0fFYfD7toQaFaC4NYAy1LTB2JZo+2qHDvTtoZRJdfI64kJEWaTpnTPnpF9rhyRgHplj6ztmU6KGT3G7ouZVPp1xrQWLzarcp2zXHLJC+Z5qLKyCK8SLlGDY/kYBzNfzsxXQApTvpWZx5l5DNKLwzdx8vDwuKTB3N+/jYZ+g+PPZ+YP2xtm/icA37A2Inl4eHhc/GBI3LKffxsN/abjniSifwfgLyDz9WZIR8CLBsQMYnYcT1HQS6ttLopGKcCWsrgCUnOFqMEZN8Z7xmwp104nYcyVxNUxrhTi7Y+JS6f28m8HAHSf8zoAcMHF0VoVnS3C91Q5+YjKRE4GAGiqayw5LJTj1eEBNL/zxwEAT2klsgVkrUbCenKzNXTa83zMzSkXUSDjWvV0rDxTz+yIK2LTvPZvvualKO8SmvbNzxRXVXxcemhzR6vCbxI5ZvT8pmFMtlNXiWxzO1jSudbrm9SAflPvBaUJ6KXfLXNwQq4Vm0S2/UPifjiSiCuOSVwhY9RCMKM04JqY0NLl+n0akD4xazULcv69ozUc0j7lxnWEQMYfbEu9Q7Mp9zg6/QQA4LKrrsC3b5N9rKmQ8Sg5PiXleJr++3fLGFtuxxufL5XN3TskESGZ1K+D9i0PbpQGmeYauepL70bw2n8FADgwK+Na86dA6c6ND2oLy/07VJHrJMoSDWYiceEMlGXcYXVzDgwLZT5D5m8qLWG0pvLrsYn2JSfqrbf5+CuU/6o2jCZkzZfUn2qV6ZvuF7r7Y1e8Qt7rPZmpjKKh480qzb4xC0AD3WVt3jXeFhcjcw1JKut3WAPr9t3YrZxyNvfVQOQ51Urc98Z+hq0hVltdjMY/1i3JmK1udoy5RFe71Wuy8Z4JfaHfWfxeSNuDD+i/TbrNw8PD45LFpeqq6jcd9zSAn11jWc4LDCDmrKrULqycSJqn8TmBU0C7l7ZYNKKGsnm2NGxtmrRp+6PV0Gk5ibJ18rcLt2M6I5rshFo0CSRQO9vpOh6j4U2iibGyhBqT6aFY9r3sum8FAFT2vwFn1MpRZRGPKY/ReF2b5WigczbVwO3UE9ilKcHDI1t0XwkSWmDwdFMCj0OpzEUwewo0IYHM1hWSfhtepay8B74s16XWSW2o2TMnowG5eTmh17NFW62O1UUm+6LYMVWkSMsStD02Jm1f65a1EMsY1mjpMMQi2JbOYHZIUmotSDym93I8lGDs7m1iIZjWV+tOY9uI3OdWJDI9PivyDyl78Yhal5PDks58fDrGzgEZp6MBdau+NstqRLXV+VMS7G1ecy0OD0uDrfomDQTPizbdbcr6eETH2KRMAwMAIuU5O5RI+uiWumjdTU3GCOY0bVV50XadEqLS6R37M+tkTqzUtCqWh1VJW4vVTnVY3nPqrO9aSyyaNBLrYadyVaW63pNrxDKebCcYquS+JwBIU1ttn82aJMLa2Gxg7hiOlWT+xupy7ExX07KtbbNWrFs7W3r0duzYJ+turtqbEDBRSAw4owkFewZC18LXkjwsWYIcy3Av822jFDgGYPskDUpYLTAY6dOddOQcsazFQUS/utIA/ezj4eHhseHQp7VxKVoc/4qIppb5nCDc8b+6ahJ5eHh4PE2w2gWFTxes9OD4Q0B9L8vvc9HB9QLWYJhrsMQpWCmi66EG0yABZyNgt8WwVV0w050U81pPMdw6AACI1D2UauOcU3NiYhv99bWbG9jUkqrsbnWXjisDD1QsYNdrWh+e6aJaaDRj/c/N1Waf1zToGsyedsFjc43VClTlRvA2qDn4aS0FjCZeqeRZay5au4WHrazkdVYXY26PCqVI1GUwrtTszULzLJt6CwwHc2cAda1EgVyP1adUtSd3zca3FdkNXH3DoZbcn1FNCKipG6WkZJTVKUlYQBpjflTaJU+0einDzW0GDeSW1JVVCcl9dkSbZW3S+77zpLiK5u/6tJz/WeJyTE4dwZaOuChPatX+8XQYAPCpe2T7tgGR+disuGee9cpbMKTNMl+mLqkkkGtPtar5ZFNcc468UQn/mk/dAdRk/lJ1Ec1VxR2Z1HUfDSKH3Tmdx5q79lZNXFRlvTFFDTjVIPZg7jZaQyXSnt3ONfaENv669pVyvhN3Y/xKmYNgRtx1Ha35MHeT9T9P1I1XHdsO1pYGDb32A4kmn2iwfNY44NUpMp8GzvVK5prUtWIklPa9zfXMci4qo7vvrGI0m7ExrYl+sOyDg5l/ba1OTES/AeBbAXQAfB3ADzPzhH72SwDeCiAB8DPM/JG1ksPDw8PjXJFcok+OftNx1wK3Afgl7X713wD8EoBfJKJrIe6vZwLYDuBjRLSPmZNlxgJACIicBhBo0IraElCFBme5VAN1Rcue59qCUQCgqpaApUB2EnYB7fExoU+vdCR4bEHJK4dFyxpWzezwdAdTI5JOWXWakIw77SpoRRs9Ops1qDF68bbyGQ2rTCXl5QkntTpXKay725/lrKpm0lvKbdeh9EkINJDPlSbmlGfKVWcn1uJUeZLKw72fK308iDA2KwHa9lYJDJslZfNl6Z+k6ZKlga0uZXbAgrzaFlazPxFpAyxLm66GZZQ0dXenptDGoaaApqJ1m5VXqe7Q6wxwSq0Gy75saoX35rZYJRwMqMxYgH3RhMg2KZpzMizjhloFPnHnnQCA2qYR17Z06HMfAACMvv7HAACPK2+W0amHpBp0N8VIImslueeTcp4XSBX9CRKtu62WoWtuZRZCuwWK5f6EGqyuaZJGC5oarecpBzq/RO6+WGA95VBfZXsY9Fq3QPa9SXQdd0oyXyWj3d8uVpdZKTy2Owuk66u1b7YmYdNqCZvFFQ9vR6gpyKne2y1xL327yWYGOBEtaMZkwXBbb3aM3dtyznq334XV7BxrdRyXIlY3qfkswMwfZdYEb+CLkObrAHAzgPcxc5uZH4e0SrxxPWT08PDwWBIsJIf9/NtoWE+LI48fAfDX+vcOyIPEcFC3LQAR3QLgFgDYtWuX4+IB4OIYVtRlWnkKQlq2AiG5o8acWy6oI5bmN1wNnRY1pdZCnKrGXhXNP9DtFmdolEMc1OZLFiuxMUwzt9jAcHtCZEYdUJ9yVdNhLYXRfMxpRTRA09jOlMec35bU+WsKa0nlJ7UmrJhrHtECzasb9LZHNe2tpM92Vk6u8MxBcKWX7TfzHxsfmGw3rb+KGB3TdvV64rJqsmpJGaNpJ1FG3G6ISJsXWQOlY8p0a4VeWvflYiqn4sS5DhL9THv9YH5wu8qkmqyOsb3cBSlzL4e6Zoa29sxN6XJJIQ6+Jv798o7LXEyo+mxpX4sjwlX2ql2y710nrWBT5nV7etpxhgXP/2aR+2FpPzyu8YKTHbn2ocDWsfIs1RqIT0iBJm2SGA6pxVapDffIapMShJxNjIV39G0AixXIB5aW203ZWRa2PJy1opaNFUPadwcju9yp+UG5nvIzXgoAiDSOFodWuKfsvDMnQC3JuaGmWNhRKOvb1qV9N6ypGgdlJHbvbHZczIZ7ZHZTkbK732ZJBavILuUtjhVARPuI6ONEdK++f45Wkq903MeI6N5F/t2c2+dXIJUVf2mbFhlq0bvDzLcy8w3MfMOm8fHFdvHw8PBYIzAS7u/fRkO/FscfAvgFAP8HAJj5HiJ6L4D/vNxBzPya5T4nordACBNfzRk/8UEAu3K77QRwuE85PTw8PC4ILmWLo98HR52ZbzfTUBEvtXM/IKLXA/hFAN/AzHO5jz4E4L1E9JuQ4PheALf3MyYHUZaG606k1aq5G2zumJr6UopuGy7sN9lOnBlkgTlza1kA2oLnR2fE9TJQjpym0dQGOubKMZprE2lOqdrLIYHLEvgNLBdAXWxBW9wpllrZLokbIMVCF5u9dz3UdYxEq2aTOEVQCEIGHb0FmsbpGNg1CBppqmV3814nU7Z4ZOdGS/apa6A7Vl6l+ZRQvC0WOI01gF41OdQ10iwHqJd6GyhZSrCRWZtLznzIQ5UAwxqAnikN91zHpFYk29xbY6mgNel6VZv7J9E0WHPxmbtz4BnC71W+6rkueNz+7AdlvOvF3RRMCx395sbmnuvlMEI4KfqPo+LfIa440kZb1UjdnxPSQxuzEwCA7tEnEWgqslWV24RGej5zZXb1/pXSGIG6a1P9DtjCNrdN7L4SGkQPMppw57Ik4yXTpAXlQ7M1FsRtl25LZbnvsEZKer2BujYPpnLdu8IyUg3uB0+K+695tVSmmwtsRu/XpijRsQ6gPLInfxnODdWxBIvCGguDLFmGze2H1QNzrlXBJYazITm8ElnP8TcCOHKe5/4dABUAt+kD6YvM/OPMfB8RvR/A/ZCH09tWzqjy8PDwuPDYiG6oftDvg+NtAG4FcA0RHQLwOIQh95zBzFct89k7AbzzrMaDaNgl9Ab8XPtMp3mw47gZjTTYqlqvsXhaauOUBrofOjmHpgbUdw5qimnQmwq4c1Bbhqra00kZm7VALpqfkJMrj5BZJ6Yxm/Y22c4Cd4Ma1bWFWdZgbJJLEbZjixaHxS3NjLZiN3vfCJIlOXvKmmbc0jRMl+qoWmOMAJGmXZomaxosq6VhCDXwTVHFyWuaq0nsrFgds+IsucDNW1VTj8+wBo8jtdh0DGc5ducQHpYGQ80dEqSeK6lloPta8kJJC+rCsOwsC+OKirQ4jcsy56RtTfE8ZcRtjrvkC2NH5uNyDDWlMG/bsFpqExLUTga3ort5n06MfHZSU4NtbrbNS7p0974vAADSWQkgV697uSsSNEylWrRnhXlkFpvOZ5Jk1qodlEsQATJeN/vti5ndtrAQarT7pBnQGD4hyQBppYFQ5yJWhuDosLYuLmnK7h4pKh3SBIm5YCuqqSZFaAO0SNPM2xWxRCJdB5aEkDbGXFHqZDQs46WyVqu6D+v6CIOMvblSMDGsVe1qQFxVqzbc0wr9khw+BuA1RNQAEDDz9NqK5eHh4XGRgzPF6lLDSj3H/80S2wEAzPybayCTh4eHx0UPxsZs0tQPVrI4jKfqagDPhwSuAaEK+fRaCXWuIGQcVakL7hVMeGTU5FNdNb/VfTGm5DdldbHESl0+H6e4fpu4YSxga+4FK74NtUJ9XIOYZ9opKtNSrRx05DOrwbAcddNWakrrXi5XHCeW452yiJ/WqJTV7dSK9TqRBQktoOmqbwtuOquZANGCattEOaPMlWQuI3O1GKLKAOb03PWoN8jaDrWBE7Svs1F+J12UQ3ONZUFV2UdrPk4dkDG3aMA47TqeJKuSd8kEVn9jjbHCRI+J0bnqJT37VnQOrDGQbbdK9qg7B+qqLFYDcuhhGS8StyQNDOt7uYaZNERHZRgZk7qK6KTWWSTi7gyN/tyq3hGgoq4ww4gGiM+oM+mJRPbd9TJpdVM5LXMSH7gP4U5xc4UkFeu1Ia2n0F70lphgMnO54dwyds2ZP17vPazSurceB8hcvLZOnpiUe3pGG4rduONZAIBTc7G7D5uvFpcUZuU6p3dL3e5TWs/ULCUqB5CoW+nK3eJS7A5tAwDMTMm+xudm3+dTaGCkpnVPyk1mc2s8dNZErVPNcWXpGlxNF5WBka2jSw19cVUR0UcB7DcXlVKp/82aS+fh4eFxscK7qlbEbsDUSED/3rPq0pwHGKJx220MnTtN3ge5GkJLf6xpGmGc9mrsLTaeXOUbCshpXIPKL1W1JjlqEdRU6yk/JXxGozueg2BSGemDjJkXACr6PtXXmVgDqSm7quh6geHWGiGV56dUpoa7TkttbURmhWSVwECOLZQzxtEIvfxFpo1aYD3RPypacZ1ZT7OAsbq6xleaQqsMrWlYCJK3Z1zaqEt91Xtgc2KyRWckyJw2xlzqqe0b6XmtAt+a/kzHGjSPOwh1fjpamZ5xFKllpevArJZyfdTJ1t4izZlK9WG5Vk2BRqoyhrIualGAqbZoxtOqyQ5c/TLZRTmsjOvL3LolIrAGuDvKQ5alvMrwdp9aek9mGpcDADZdtwusXGGkrLVmPdpaTQtB8nDiIDAoWjyrtUcqa8YlpufNBcKtgt9Stz/8qFgPz99u1rLevzSzHoyt9mBTmmNtG5B7MHBSLLdrGpIwMK9p5wcms58SZy18/v0AgM0veBMAuOD5bDfjnzquSSWjA1LZX25P6nX1/oxVlJPNzQkA1u9PO06xWvB1HCvjzwHcTkQfgMzXtwP4szWTysPDw+NpgEu0jKPvrKp3EtE/AXiZbvphZr5r7cQ6ezDkJnZj42vSoqbIeHJyWpXGI6ptTQEcvAxA5gc3Xd/iGPvG6jg2o70f1BKIVcvuqrVCFdGyR1RbRZo4Zt54VMa3NN+j0+IH36wcVkOTj4uMURXtWi9PkmmHgWpglgbqirko12ZT03nNWjFN1nzQVhzGAEr2WSxxhCSsuPGALF3WUpdD9UGH7Rk0tKcFUkt/1LiLasqRxVo6prHHjt/KNOZAubh48nj+ckChaLjxF/4vSi//LvlbYwFlvR9maZh1ZtZRWBnF8BFZlkFL2Xc3i9ZesZRN7Wcxq91X2nGKQC2BSGNRXdVoQ9VYjQE5s9iyH4zT88rlpXGzYR3f1p3dv1acOkutYtdKloYd65iy72zXjrFATYhjdenVYe1sDTUd/3RHLITRUO4NR1WQ9uagtNxzTGA9anROnNVHgSv4DNSi+KarRnqOtXVxUNsG51PBbd0F0zJf3Ye/AgAo7btedmiIxTFajdy8fX5W5v4Fschd/fLfAwC+fo20UzYe1HqJsK1urMHyYjFDs0ihcTpLp6a47axWK3C11N3VgLc4VgAR7QZwEsAH8tuY+cm1EszDw8PjogazS8K51NCvq+r/IVdvBeByAA9BemZ4eHh4XHLwWVUrgJmfnX9PRPsB/NiaSHSOCLCQswnIApDmmklBmfmq6XtRoQp8Rl0f+0JNqWyMYVtTXC3mJrG2r+24NwDt0jEnD7mWrhYcNxnM3WDiJkPaMGjqiGt2cyYWh4ZVRTtCJktrVaaw2W6KeinqGc9cbBa4z/h6ss/LGsjuhOY4Qc/5LODt0o1bEzpn00gL5n5VA4+OAj7QMY0jqz7q9g00tTa09qlTp3vGCgZl36AxCBz4qgzzrNfqdcgVHJwWt+HJOXFv7B0TeSop4dTW5wEARqbE/ZceEC6kQOnvSdOlm1sl7fcUGqjZXGjQ2lyV5tJ0sqnLqpzG4Gi7yiSfTWkDqmH1Chnn0iGlgt81UHLuKwvM27rL0qeDnuu07Q9PJShrm2NL5bZ7bUHyMRaXI80rhX5zPAs8t402vtdl5Vw81ogpnnf3rP1//wAAUH/ZG0TmLcLTZS66TcqKEFDG12SfxSPiVitfIfPF6pasaDB7vFTDWFVkCapSlR9v/355/xkhyb78i38sMn3jLe4aaFauzbjdbL6SUO+/8px1djxX5gDk2AssLbe7ir/z4h73D46+wcx3EtHzV1sYDw8Pj6cNGN5VtRwKFeQBgP0ATqyJROcJ17hF0wqp3cuOEnbb4JJoxGZ5VFk0mYGTwrEzog2P2pqKGhAhVM3CWpuWQ2VZtXRcswymtRBrYBxpVVlxtSApcnxMyi5rVooGMdP6iGh9AEYDMSniQBs4aatXK5wbVfalE1RzGuygaqPTqlZZmi6prdHJ8VyRtlQtF+qiHJdUsbmVxcNLNRdMTTUQbO/DU8LqammQ85Y22Z1HS/nAakZNpZaTtWXlQdEi43s/J9c5NAael3mxNrMziSQgjNXk2O0DMqZd//HZGKNVa3wlQVd+1qvlVRtfBVo8Bm2q1GEGkTXnygWyAVSqUmDWUIsk0FRfOn0Qm/YI8//peSvUVEtAA7NDWizYVGZdBkBzch1NtbparHxTet/sN8gyRm3s2U7ibpSlk9Y0EH060VRutSaGSKwk6sy69OGMYVk+M0vEUlTd9nLdJXSENfks/vrd8l7bBNtasp/LEgEltYbsPCdbIuPmcSmOtHbH4aTMfXfzXoSFIj7jJYuuFOfG3Bf/WY75mFgeePn3OJZiNmZlO62u1admzJKT11bMGKrIT9y4FomW+bxIvXtgCTmXIvq1OAZyf8eQmMffrb44Hh4eHk8f+Kyq5XE/M/dUihPRm+Crxz08PC5RMLOz0C819Pvg+CUsfEgstm1dQcjVPVhuetp7Y6k756p7UwvMbpWK17TSG7itnTwgx9SHXPOdKzXw95TWYpiryrGDjwqHUDy8E6FWJFs9Q7ucN9yy4DzF1lc5AqmLjS0IqhxVVr9hvcHL6rIaL2fXF0yrO6YmdQ/m+rBmU+bemOumLujtAuklq3fphblvAnV7zJeHnGvPXBOkbqBkQPu765yXtDp9PqigbL2sNZ/e9g2Uij1V9w2+4Qdkv+ljToYJqquM8v70vMzJiTm5BzsGxCVYDhkPn5Zga3mTuAdbHZF/q9aCWADf+KkG6gGOdkWGhnobrXHUsVlxbwxqjcbYuPBFVTZd5ar/K+qmGVYXWfz4vXLte9S1Y3xbpRo46q2oNxfL6ZbWgqAX5ibc3Ci5YHQ5lutjqvXIajT/zYbWnnTnc4tS3Y9dPVZdtFbFn1iNCxGg7sfwpp8AADyl/b22cq+LytJQUhBKxgpgNPQk6/yhlow/NCDfr81VXQOcOnexretA56n7xIMAssZYqVK1B4fvRzAiSSRNvZ5kSFzJ5o7e1RT35Bldno0S0FQXX5dFNqs2Xw0wLgzlCBGNAvhrCFvHAQDfxcxnFtnvAIBpCOVFzMw3rJVMyzbEIqJvIqL/DWAHEf127t+f4jw7AObO8XYiYiIaz237JSJ6lIgeIqLXrcZ5PDw8PFYTrFxV/fw7T7wDwMeZeS+Aj+v7pfBKZr5uLR8awMoWx2EAdwB4A4Cv5LZPA/jX53tyItoF4LUAnsxtuxbA90BqRLYD+BgR7VupCyAlHVQnnkSqgW3TplgtBdP+EURZ9bVZGqpxhadEjHh6QnatK99RuYbZIbE0KqrtWNV3LdYKZdUa7fzTMWEykGdhWavLq12rNpdDhiqiIUFfy51px0llQfIuWaqt8kJpcDSyqtk0dmmVrMyoxmxrGnmpwAxaCTN+K8tDj5WN1zQ0qyg3rdWqjEsgUFub8KilMTPUW3k/rCymFrxMUs4FdcWymFcrIlTmWUNrXrXJaNwFnAc0j9kaLtlcDGjg8/is8isx4x/vE0vlua+SwOyM9hVNG8oaqwHWwLRvZNqTzYWlWJbUqmhpskFSkdc0CjGrSRJc8HFH26VSPdZU7JmKpBcPzB13+9gayTiqSGWVMac7Vi0t92KoErrPhqt1lSntGcNgTcLGy2FW6a7zZs2grOLaUlPn9Y84TZ2VE+l3ZKaj6ay63s1CtSSUMAASawOrlvpIQ60vW1v6engu42EbURmyVGA5T6hV5pY6HGjDLcyeceMnOn/ZuhdLjlKrZhfTtBGySzyJ9DNjLFgtXCCSw5sBvEL/fg+AT0Labq8bVmLHvRvA3UT0l8yrmI6Q4X8C+LcAPpjbdjOA9zFzG8DjRPQogBsBfGENzu/h4eFxTmCsijXRD7Yw8xEAYOYjRLR5if0YwEeJiAH8H2a+da0EWqmR0/uZ+bsA3KXC9ICZn3OuJyaiNwA4xMx3E/WoTTsAfDH3/qBuW2yMWwDcAgC7d+5AWm44a8JpI6p9mFZESRc8sEUGME1c4wrplr3yfru2WlWth+an0Zg4IOOp5l23FEfVgjjU81oB4OheF0cwbREatzCtzooJrahrjhrOiTwcWgGeattawFSNzGdrWnEEhBnXEACU0o6ex3p3mJYouw2GCRBaO1mdAuvJoAKYxQObT52jAFmcIlXtPbt/yrUU9xawAYBFYp6c7CKPqwbVolHZ7fqOzXadtWAtQYdI3m+qV3TeZN8HToqs//jAMbzzddKR2L7QVmw5rRbVcCI+7rQmfv6BzizqdfHrdwo9O6b0/MYea9dzbLbrzj2qPVzsfIkWFpombbxelvoNZGsm1DVp2rv1oBityfVZb5ZaRBiGWEg0LXMfahHcNrUEXM8VjYEEs1PuQiyN2CyOQO9pEvYyxoYBOUumnGvhC+RSlbu9fGgU5FiE1UKz1NpmebDnGEtdnemkmFZDpq5xq3G10EhTr61o1O5JdbTtrsPSck+ZdVoomGx15b7VmyWkyl9lhYD5+3De4LOyOMaJ6I7c+1vzP+xE9DEAWxcehl85C4lewsyH9cFyGxE9yMxr0jdpJVfVz+rrt5zL4CtMxi8D+MbFDltk26J3Ryf+VgC4/rrnXJp5cR4eHuuClDPXcR84uVzcgZlfs9RnRHSMiLaptbENwPHF9mPmw/p6XJnMb8QaNdxbNjhu5hGAn2TmJ/L/APzkSoMz82uY+VnFfwAeg/Bd3a2ZADsB3ElEWyEWxq7cMDshsRYPDw+PiwoXKDj+IQBv0b/fgl7XPgCAiBqk6WxE1IAo5fee74mXQr/puK/FwmDMNy2yrS8w89cAOD+dPjxuYOaTRPQhAO8lot+EBMf3Arh9pTHTIMJcddS1YZ1TM7yq5qsFAhNknEFGtWyVsy49VlM1O9uEw3EuqKOZaHVtge/HwXiVtkpwtBEkaAZiwh9Xk92Cxy51Ul1U5upJmJ3b4lQqLrF5Dfyaa6Rpp9frSUGOs4eUej1W87ycWgVt7+scEbZWxaXWgjX3kfHm1OfRMDedBlYtAJlEVaAsrh1zSdj1tFQ081DN53i8bHz1ROHUnFX291JiB3pvaqXAufjMxdFVN6HGqPGZJ8V18eH7JSD+315/lXOjTaRatZ9kAVkga0NrgdS0VHPNn2pWAa/JCvZ9b2hw3tyG7YQRdHu5vFzjLRtXK9fNxdcNKy4t25IYzEVk44fq6imrq/GMJkYMVELQlK4/o223and141UnD8r5c42xLM07Pf6EyFLWdODt0rCqqvxrVU2TjXN6pLmmLm9aSq9cR61i3GmaZoxalnKsspkMlipsY9na3tnMfnaM48uldut3r3RKuMZKxlIwsAXdpvxkWFtle51Vl+LJObnezQ2596WAnPuqkxhTwjmxLC2KCxjjeBeA9xPRWyGJRG8CACLaDuCPmPkmAFsAfEB/SyIA72Xmf14rgVaKcfwExLK4gojuyX00AOBzayEQM99HRO8HcD8k5fdtK2VUeXh4eFxoMGcPxbU9D58C8OpFth8GcJP+/RiA5665MIqVHr/vBfBPAP4renOHp5n59OKHnD2YeU/h/TsBvPNsxkhSCbrNq0ZhjZbmncahmnQpcNxGTTufFqGxsYUmGhTVoF8SNDETyt4N66CrgfXDgQTxavvkvprHM0wIiIYBAENagDfA7vpkXH1vSly9FDjt3QLDQ1p81imkNkZuvxTVSK7ZUoXTQrDQAs5TbUv3TDCbqjYbyb7TGlqyuUnUwhioaKvQ3Ngmd2rpxHY+YxnWz51FlSZoBhZ0lfNeNqBcVUdFG47H9ui+WgzHgdPm7btpX1HTNIeqMta7vmmv2y/UZIiaHmzHmkHgCihV+6c0dlZIMCtLuqzXOq5WkCU8tLVd71gtcgFZs6qaUHZa1ZipYpp0tv7iSIvrVLbZdm8guj4v6c2WuFAtiaV6Yi7GaFMSOiz4bUVujmdrYIeOoV/LIHBWT6BNuLhgDZkFTKrtVwI4Dqm6plpDvxPx+OU6rsjGOYt0rrGl5zosGN7StGKzNu0enJpP3drICvTU0lTrz+C+m0HkkhUszXxyvjfRs1nu/Tmb6mTnsYSH+VUml/I9xxcBM08CmATwvQCg0foqgCYRNX0jJw8Pj0sVVgB4KaJfdtxvBWAxh+MALgPwAHwjJw8Pj0sUDM9VtRL+M4AXAvgYMz+PiF4JtUIuFgSBuHos79yqgM31Ui24rADgDFmfbXkdCSWwyprv7samzFUEdXWEsPHEXD6iPckHtZq5GpFzk7Ti3gxjc0cZz5W5LqI0cSZ7VsGrbgzjxNJgNWlF70C5AdagakddR1bHEUa9AWI7XzWKnMurrccOagMpqGtsXq+vzRYY1nlN2M2FXUdD+ZrCkgXae3P+GxQ7X8GguqygufbGb4RCdXtImZvJvpwn53p5mZ6zWQPq3Xk3htXxpHHvNVu1vjXgMm6sYO4MUp0nMq6ljob5g96vR1lrAcphiDNx730y1x6sSdiM0OsbcwEHJSeDOd0GK9Y0S92QDWEasJqDfKMnq8WJAzlPx7EQaJ2D1qvYGEDmsmTlSDPuMAtE21xYjdB0lzCkrr54VJgSOnpsWGhX4LjTGGi7RAFtAmVuYf0umuyWQDBaC90aOabJH3ZPg81SB2OlQTY3rTh132Vz3xqFvq3HbL1k68942sq5uVwtXMoWx7LpuDl0NUATEFHAzJ8AcN3aieXh4eFx8eMCpeNedOjX4pggoiakmOQvieg4VonkcLUQAqiH7CqeU22JOqDBscRp/wtNS9MEJ6qS7mfcSKEytDYbNZxOtCq7oLEYK6ppSNZKNkmzSm0LzNmhpklaWrC1ZQUFqGgAs63Nn7LWt4nKJLU/dp0BBWDj/dFKZGvdatphVYO9rro9jZ1wU4kGNLWpULVQBe4qy3NbjSvKVQSnll6MHpmdldTpujRVF1TVtFkLTNv2CccBlc2X3TKzHiL9YN5VPGftb+2vulpBFkS267DAulmg1cYYSG+QcTiRpv0am6yllwbtWZW5hhGV2ywPC5Z3tGEVNGBs97rJMTqaXmszXFIWn1CbPrneDtbON5d0YO2ME5XbbpNp33Y9troDThBqYNulVNtc6z5hq5cpdrAy4ALzBrM0zCpx7Wg1db1cbiCqiPxFHiv7wTQtfy6XnrtFO3qNK+uvC6hbEy27P4ncg0qp4jjXbFwLdA9ogH2IlcpXrzcZHnX3VvMQUF3Fny0GkKTeVbUcbgYwDyE2/H4AQwD+41oJ5eHh4XHRgzemNdEP+npwMPNs7u171kgWDw8Pj6cNUs6KOC81rFQAOI3FeaIIADPz4JpIdQ5gSOWrcqa5fHdDEor7YagSOteRmftmJltQT9PEUVcytTYHGC1ppbVRpDu/kzkexFyeCzLitbBgsluF+ALCuBxFOrRBT1SoQ5hNZfzSkDSKsoY+QXsGUDeC9SNPwkKTHCWOMwI5hOWs5zfJuDYnZ+Z7ay3NxWeNhOKUXW685eVbhbc1JHIBYz22Xmk6V0eq5ws0IN3VMJvdt5oLqKYux79TyL23QKptNRdIJSSkGuwvBu8swB4rx+IMZWNl7kwN9muTochcVeqeMYK8YH7K0XOPqHsw0QQL3XXBvT8TBygHGsjWa0yo10Vl12Oymgu1k3CWiGCTrk6poUTrHvS2WYA6rQygG2nzomIjJ3VZddQdWtJgPDh1F2BrJ9QgP7SewtxA5rZLkxjQvuHmZrJAtLkUbSHYuqhF5O67rXN7nda1lJZ61wUlXTR0zczq99NIFMxNOB1IskRFqfs5Zw2YbDNpv2HdlSGuKm9xLAAzDyz3uYeHh8cli0s4q2r1iFvWGQkDM90UVQ2yhmGvxh7nAnWmoVhcy269LYKOKkrlUHmAECMJRPeJTDu0AHGnV0M3zYk4FxQPeq0Ua9MaFgLRHESYV4umq5qXadumhdqxHU3LTCtVV2FtxPeJqqoW5I+VW8ra0IJTp1E2VINs6bwl3JvObBqfmeRRQE7Dny/Qp9urXa8hSRkla9Sjlo41qHL3R/e1KnpEWYW/pa1aOmmM3vMoszk6Seq091ZiMkGvx9KK9TyRWQTZtkag9zLJ5kmEVI2dOtlFuc/U2rOUZE2FZg2SO4r7oJRV3KuMLsUVZqH1BpftnodBZkGVcpYSALCuA9cQyV6TDhKVoaMauJ3P9Z6ytWz3BAGorA2UdG3a/XKXXbL0aa0gjyruu1V1gXudez3GrKR88Lxs7X06Mtd118bWKr3VUtN0hxIR5uftO6Ep9lHvuG39HrV0jsKAXIJFsXp9NXABuaouOmyYB4eHh4fHhYZ/cDzNQSS+VfMLu5ah+rlpWd2UnfbRTnp9so6l1jpu6jERBa4oy5hou8r1tEDLtpaeIMQ6gMlgbKF2nsFQtS7VWimNUVcLAGoBpBXR8Lp6q0zjdGy/KS+IAZjGaimIpnVbKiUocLGGUGMy9faEvKp2be1NrSmT43zKpSObxdFxnEfmr5bP8wRwobbEtRThSGclDEUOs2g6OSvNpd/a/YllviJL6XXNuuR9PZkDs/rm1SdvcaSmabIqj11Fmxk1TXV2VoSCjbFX+ZMCTc9GkiAZ7G3C5uIHUaVnu8nWiNtIVCazOCzuY1xRVsjW7RVDUpN13s3Stbmhdqdn32nlVOsmDFt5tr7rsDnWGItZ2LDYW+rWfFac2psuaynkVbU8TncDx5dlVlDXLCWVtW4WvDa1oribs9j0OxAY+3NFZdGU29waCy1+xL3eBEOxto8oFyvE4nN7PriUCwA3zIPDw8PD40KCGUh8VpWHh4eHR/9gF4u51LDhHhzmOioFvVEwM1EDygJvrsLVuX3UlaTHnG4ZBw85OnBL3QwKbhmDcxMl7Mx650oquHBmqbe5TDmNs4i9upesEZAFGlN1dyS5lE1zk2X9w/U8cS+HUNn6hrcmEKjryFwrlqJpPj2rNq5ramorFxC3dNyxqnITmevP3E0uNVSvgSgz6TXYak20SF0UdQtIW5VzZcBxcLmvpjX7SXrdM64BV9xx80XKN9awY6x63lyNlqoakqMOd2m3NsdGYa9p2S4Q3pnJ+KycEFoVbgvNzmeuK04RaFuZUGXsaNr0fLf3x8fWZyXX79vcMLaWrJGTu3/qEiu7AHw2nq2HucTWZtqzz1Al490KqNffU6Tot3va0vTwSphtq2q6cao0/pZgkTWXMuFiQDne3H3Rz+y74ZLcLdCd5+uy/u66MsxFVi9EvvNuVZMxWcXgONCb8nspYZWn8exARD9NRA8R0X1E9Ou57b9ERI/qZ69bTxk9PDw8FgUDacp9/dtoWDeLQxl2bwbwHGZua68PENG1AL4HQtm+HcDHiGjfSl0AQ0g6pQVMDaaRRVFWwOY+ywXM8+/LLpU3l8Kr+0xogVxY0HKKGlMlJKflWJCQ0RvsNQ09Y6qto9Zo6vwsfp2ZjNZ2NjOX7RALslqQP7WAvbYOpXIdZLxLxgCrlgAv0VrTZByohI7/xwK1FQ0ucyFRwFIumYKctWABUm03qqyyxl3lUmGDKGOntVRNTYl2acVuLONiqmfXU0BaCFobTxS1JhFa0yLbV60VGhC+KddmtjGq56k5i8PODdJr1baw1k7VFdSFJQQWQNe5tkQHinot36L3g5AlHlTZrK1g0Z0jlwrNOa4vS1G2QyxQLK+nWvLaLAdohGqNUC9bseNVKzRaMpZhILu3USJrywLrFvju4cwyS0OtOFvw1jbXGm7lM7urrthWZdEpMIvD1p2ldHc5s6ps/iqrqCozFuRTXDJYT4vjJwC8i5nbAMDMx3X7zQDex8xtZn4cwKMAblwnGT08PDyWBDP39W+jYT0fHPsAvIyIvkREnyKi5+v2HQCeyu13ULd5eHh4XDxgRhKnff3baFhTVxURfQzA1kU++hU99wikQdTzAbyfiK5A5nHJY9FHNhHdAuAWANi1a5e4KfSKzGVl+fWRNe4JQxBZbULvDTXXVOaiyoKGkav2XkIgNYUHcgFNc0XEhep1czeUXT9vq/cg54axympXXWyuD5PZ6K2jCmzKUn1tdmZ0X3NriNkfa5f1dnkAJaPYDnq5qrJqZRlr3ui89fN2nLp5mc1RoANA3SrV9Tonk6yRD6k7y5IWmsqTVNHe3xbgNiTlWrYQNBAbWn25uX+0liA1V0i3hUCpwq0OxRosWQ2N3b9AXTHV+ohzRQVzEzKOucucMN2e8yFNQGi5vwGAI3PL6Gs+EAxNBrB7V7Fu94KSXk9Jz5Nq4oK5R4MwV2ltrh0lp3KJAtYTXmtPahG5e2gV+FbLYLVIQ4U6mU7CSKlXlwxcbZPKYi6//H6FpAVz0zmnmbrvLICfBCXnirWWAkzqstT5KiuvWmT90dPsZyFzWaFH/rDwfQuJXMKLrdlg8Z+Sc4K4qjaeNdEP1vTBwcyvWeozIvoJAH/PYsfdTlJFNA6xMHbldt0J4PAS498K4FYAuH7//kvzDnp4eKwPONdD5RLDeqbj/gOAVwH4JBHtg6jFJwF8CMB7ich6nO8FcPuKo3EK6ray9L4cl459DohhYKmMKPcGtq0xTKmgwYQBuaBdUWGxoKutH6uMLgWRs3rKXQn8ViyFU4OjSVOqj40RNAwIpHm4rCeqWWDdgteqXQc5PiW7ZgtnGjeVcR8Zx1OSC6LH6qXUDErXFMlQca02odcjr1FATmtrFNIfo7YETsuqNdbUqimHJRektOlzippp4bFp9TqfUXVBO1mn5VpQvGAxtitDgLXPdanAvfIXGYrnEnIsyM6SiSz5WTdbdXO+MZJp+MqY62RRrTsttB9GEGUBYbv/mo5rMtps2lpyijWnLjGALJ3ZkkDiXo4quzdJ7hqLaaqOQ00TFKDafCmsOIaEIoV0EPbOiQMFLknCLApngVjCQ+E+hWk39/3s5dqCs1pEjiA9AwCoVQfQLchQIExYwApAlAX1zaovJs+cL7zFceHxbgDvJqJ7AXQAvEWtj/uI6P0A7odw371tpYwqDw8Pj/WAf3BcYDBzB8Cbl/jsnQDeeVYDUgCEpQUezLZTdlTDThlUyAmwmi1Lm7W2lcZsyohyvmWVMeptz2q9LqxPAw4/DKooN9H4HgBAPCwxfvM5d7VSzqTJc04ZV5ClTJpfumO+etXYqhyD2nJOSw0lLWALTUNTLTVFFn9xBV06Y8Y0Wp6QvIS0Koz6VdfaNVsqVq9mxY+u9a0VdaW9sYhaOXDHO+3U4j7VYTnfVk2B1ZiUFejlYf1SoPGJyI2l6aXxQt4uu04rWgzbEv9xhXMUZHEenTf7rNg6lvRYlKrgokVRKEq0Obdjk6jekwoOAGWNZ6V2f/TVacydjP/KigdZr90s3bAQj3FWLqeZxl+4LjtPkVcrTNruxphVZJapM0A0TdasIeq2EOu9MuvBxRF07ZhMxvnFURlwLLtqVVqNoMZoSNcSLD4SRC5mU5xHLlhHrqA3txZcarxZOKsAZnaFuJcaNlzluIeHh8eFwqVax+EfHB4eHh7nANbK8UsRG+rBwUHkUlItEOwo082c5TRHKS6bzIw1N4eZwkbfHTMQqWltri/jbhpRqmjHc6QujHB8J9KqdNadqEkFMrfF3TBYNo6nXldLGNAC2nSjlT6h/WzN5TJu3YtSOJ6ppD7acx3OJaZjVMMstdbxWukcWGOjznA+oS0LmufD1Aen5Jq3NkWGbiBurUalt0GVBX0pTVyKpKV1ugQFnTf7vK1pmUk3dSm0BnNVOPpuazaVa6s6EBXDYRoUtZTaQmU5B6GTKbQA8+xp+axi/F0a1LY0WqIsEGxuLHMLOZdcVjFu123z4lw5mhAQmktMXXzmpnFprFHFudMcFXuBC8sFm23u0wQddSE5SvxCO1uDoxELys7VaymuLU3cMNepy2nQ80yjilDXW6Bp7q4drKWuL8ZK4CrG9f6Ye9ONH/TOSdx2iQGWvhy7NgHGo7WQP87my83fKmdB+RiHh4eHh0f/YP/geNqDicBECFwxncC0qyxOFoALRUG2j2mwFm50TKRRgHJbCstCTfe0xkBWnBZrUM8K6Gh8X6YJ63imgdtaM44n0iBpMDOBtDYs2zRV0yynrY3eW2WyzqchEtbgbruXR8u0xFqh1SqwsMrSMY4W5stkNc0zIGBTPez5zKw6Z8WkvUWEWXPUTOstZjG4lGT9+HNPTeFFu8Rim9TrqhaK0SLjxjLmU+Ys7cFSQlWbNw3duJXMcgxTzrRo483SArZQGzdZkDrRtN20NgQEhaZPmkzgmnJpQNgK8hjZPTO+JFdQ6ILH0z2vlppM3XmwFgU6p7paGIlaQZm1bHJRlryQmx/5BE6mPAKiLB03lusYUBnNIuzad0K/D7XK0IJGXqb5s6UZa2qtYxDuzGX8YoWCwwUwxup4fsG1l/Q8lijgCmk5s0grJoPdj0JCwPmBfR2Hh4eHh0f/YAbSDUgn0g/8g8PDw8PjHOGD409zEDOCpOs4nopVpHmYC8VMdwvmNQouF1dB3p1zAehSniocwDxJADMs8FvJOBY07JWiyJfj8usbYy7HPijIYFTp1YJ7Jlyk+c5KyJvXxWPDQuNm+3gxi3zp0/YmJDBRRt3kXIm99QF2D8yT9co9Q3jktLgXNjdkTsz1dnhGXHvbm7Ld5oTSOJs/q/J2HE7icjE+pYoFk4Mwq8VxldTar155klJLGFjkgttsAVqlATeuNP18OUeMyWL1Dfbe9TO3wdLYBYnNnWZ1Ltasq+haDChX7xD0JmEU93X9yym79kRdbHa/LNB9WhMWavVhGTPlBUkL9r1yPclUVuszT1El4/gyd50lJhj1fCGJgdI4c2sVXFQL+37rd4U7rn2AoVj3cr7YiMy3/WDDPDg8PDw8LiSY2QfHn/5ggFOnMRc13OAslPJSYWfTvhZDiF4tzkKthEybLyqq7PJUNbBu7TIpctWuFkAt8gy5Mc5hvTpG0mUslOK4haLcvj8Dcte5zLltjEZp4Vw9a7NaCa5lq2iPQ4PaLCnWKn01FIL5acfeaqnQmQBq4ViANs93Zamtqv0mmqBQrFA22TtJ6rIvbH3ZvubxtoSBknF9IQWZtcpm7Wg6s3KWufNYgNpkpsCxw1og2ppzxfre0rTTnAXnGjipVXJqTuZx95BYZWU7j449z2VUbA4KC6HQ3RYzmswwUCKXTGKWtO3rmptZ0oQxOgdlRFHv99S+C5by7FoLqxVISZwF9Y0ZwVohq5UZnXlSPrcK9takSwW2NPl0FSvHAe+q8vDw8PA4S3B6adLo+QeHh4eHxzmAOUUad1becQNiAz04CBxEWWWtbi3m9S8HXsLnkq82Le5j7osCAfjy5ylYt05WIkTWZMoCzIvIkN++mEzng7MZylwTXAiGF7GcfH2dz6ryK1Ir4ZoXFdxPaamW9b0+/YSeXF2VWgXuiP0sAN4cX0Dsl7k55dU8l/kGX+bKMdeiuaiKJIuW1DDTSTFaVeLAro1j9TX6PuklAzT3ykQcoNVN3LnzMpkr01V/6/ZWnOYq1QWXqYvKgtSOYFDnrMazjpK/6OK1+o3NNatgF7dbglLW3MzdS63EX1Dfo66r3HhhISmCzP1ptRlGs96Zzfq7K2x+LKBuNTOWEBEPb89o2410cjXBACfe4vDw8PDw6BvsXVVPf7Bomy7wnAUW5Y9ebqTF0A+PTXGf1dD28ymxaSGB2FFsmVa/esbFeaN47Y4nqWgdLWOxLTu+HtYxym2n8Ys22tUUWNNkuVLNKPEbwtvlguDGJVVsApV0nTZqFOJLcTlZ0sRsN0VbA85ntKr90VMyfkktgvG6jGla/7ZmpvFacyHT1F3DJrUA4gEJlhsfWpKrbs8SKeS9Bb5rOqZZII1cWnXKvXNepL3P08hbYD5wecWyj7VOdgwD+tNRAly7Y2s2ZSjOY5hLC6bCOigyFoSWVWDJDGmc0dwXWAFQkDV11mUuEL4WP/B8YR4cRPQmAL8K4BkAbmTmO5bY7/UAfgviAPkjZn7XWsm0sv/Gw8PDw2NRcJr09e88cS+A7wDw6aV2IKIQwO8C+CYA1wL4XiK69nxPvBTWzeIgousA/AGAKsTt+ZPMfLt+9ksA3grpgPkzzPyRPkYEh6UF7UQdi2je8ugj3pHHasYQgOWL6laU5awK8dYHi82Xk7sgf5HrJx8iaBXoHFzL06D3mFKYcViZRtxhLQS0VM1GQ49dKJvFJWxV2BgWgyhmXJYCINHPjKX48iuGe8Y3WfNprcUzm6VpV5lq8WpS8P83y4Shwpotnqc45UnKC1qr2vuyFke6IjsrwsujcL5A+btMZrMtmCM3TlJITTajx+ZvThuX1UuBi4+Z5UEuVshOfgBga4O8aW8Pw/ViMi5Arq3yipxY5wBmviDBcWZ+AMACK62AGwE8ysyP6b7vA3AzpJPqqmM9XVW/DuDXmPmfiOgmff8KfUp+D4BnQnqOf4yI9vn2sR4eHhcXGGn/1sQ4EeVdTLcy862rKMwOAE/l3h8E8IJVHL8H6/ngYABWpTUE4LD+fTOA9zFzG8DjRPQo5Gn6hQsvooeHh8cSOLsYx0lmvmGpD4noYwC2LvLRrzDzB/sYfzFzZM2qE9fzwfFzAD5CRP8d4iV4sW7fAeCLuf0O6rYFIKJbANwCALt27QIoWBWTdLVdU0vhYnMxrRb6ccGZi8oVDuuruYc6CTs69aGKBEot8G2pnHZsuMg8lhynVy9/UrEanLCQKaAW9b7PXC7K2xQQBsPF11kxILyQ1j+f5puxDMj73s/zsDZHxumVFPxQRQ9cSISiiI52XNOa3XYNlqelmmt4VIRVay+QK+UFP0/lwg2xH5lqpGnTi3ClpQWfW5FDjTmXIFJoarUcMn6rQpLMKoCxegWAzPya8xziIIB8F7adyJTxVceaPjiWe4oCeDWAf83Mf0dE3wXgjwG8Bmfx5FRT71YAuH7//kuz9t/Dw2N9wHwx1XF8GcBeIrocwCGIu//71upka/rgWO4pSkR/BuBn9e3fAPgj/fuCPjmBC2dhbHScTbC/qFGaxmkaeikg7FZOqtMtbeSkfExn5pXBVY+xVNRSkCs2swCzafULNNhsOxf0kqXoh1yRGhYG9RdoyPpqQewwN26RUXWp8+WNimJ7Y1PqbXuk5kXGSJyTpZDSvaD5UI5ROnVtYPWjwvUUiyKTlF1RYnFce+dkzjWWsnlxPGROlqBw9CJwZur6J4VeoHTcbwfwvwFsAvD/iOirzPw6ItoOSbu9iZljIvopAB+BLLd3M/N9ayXTerqqDgP4BgCfBPAqAI/o9g8BeC8R/SYkOL4XwO3rIaCHh4fHkrhAlCPM/AEAH1hk+2EAN+XefxjAh9dcIKzvg+NHAfwWEUUQftNbAICZ7yOi90PSyGIAb/MZVR4eHhcbJMbhOwBeUDDzZwFcv8Rn7wTwzgsly0ocS+da+Xwh0E+1+2JYi+tYkl59mdoTdq4PWrDdPhs1fiTdMFY1VoBiRXTi6MetuVNaqLi3Bk+JVp8T5TiUXP1G0HNMkX8q4cxVlLljtElRoS96kYvJjgcWD+YV9zUsVn+S39fO54LNuWrzPBda/rWIlHnRRIP8GMXrDgNa0LDMkTdYMkGpt2lXypy5z5ROvSjSua7rHixWs7Wa7q0LVDl+MWIDUY54eHh4XFj4B8cGw7KMrH1qM4vtt9KxF9oiudgsoMWwnIhLfbZo46iihbEgyBugWsgmdW167SUs94xPzI4rKnLqtqX7WkqvbHUB3fx5Nb3TOKrsPQW9FcsphdAYvmvSVRzDcS0VbBGihdda3Me15F2mUr3YnKkY6O4558JNi34eEC08d+G2FC93MYtnQQOxRSRYaannWxWLjGscPOezKgDcUNiwDw4PDw+PtQQzI+36fhxPazBR39r300FL91gZq3Ef+xmjGF/oOYYKJo61QC10aMmPsOCctPS+Sx1T3Ge5dsBrjfU8dx5LsTWv4Rm9q8rDw8PD4+zgHxweHh4eHv3jEs6qomIV69MVRDQN4KH1lqOAcQAn11uIRXAxyuVl6g9epv6xnFyXMfOm8xmciP5Zz9EPTjLz68/nfBcTNtKD447l2CfXAxejTMDFKZeXqT94mfrHxSrXRsD6k714eHh4eDyt4B8cHh4eHh5nhY304FjNblqrhYtRJuDilMvL1B+8TP3jYpXraY8NE+Pw8PDw8Lgw2EgWh4eHh4fHBYB/cHh4eHh4nBU2xIODiF5PRA8R0aNE9I51lOMAEX2NiL5KRHfotlEiuo2IHtHXkTWW4d1EdJyI7s1tW1IGIvolnbeHiOh1F1CmXyWiQzpXXyWim3KfXQiZdhHRJ4joASK6j4h+Vrev21wtI9N6z1WViG4nortVrl/T7es5V0vJtK5zdcmAmZ/W/yBtEr8O4AoAZQB3A7h2nWQ5AGC8sO3XAbxD/34HgP+2xjK8HMB+APeuJAOAa3W+KgAu13kML5BMvwrg7Yvse6Fk2gZgv/49AOBhPfe6zdUyMq33XBGApv5dAvAlAC9c57laSqZ1natL5d9GsDhuBPAoMz/GzB0A7wNw8zrLlMfNAN6jf78HwLet5cmY+dMATvcpw80A3sfMbWZ+HMCjkPm8EDIthQsl0xFmvlP/ngbwAIAdWMe5WkampXCh5oqZeUbflvQfY33naimZlsIFmatLBRvhwbEDwFO59wex/JdtLcEAPkpEXyGiW3TbFmY+AsgPA4DN6yDXUjKs99z9FBHdo64sc3NccJmIaA+A50G01otirgoyAes8V0QUEtFXARwHcBszr/tcLSETcJGsq42MjfDgWJSF+oJLIXgJM+8H8E0A3kZEL18nOfrFes7d7wO4EsB1AI4A+B/rIRMRNQH8HYCfY+ap5XZdZNuayLWITOs+V8ycMPN1AHYCuJGInrXM7hdEriVkWve5uhSwER4cBwHsyr3fCeDwegjCzIf19TiAD0BM4WNEtA0A9PX4Ooi2lAzrNnfMfEy/+CmAP0TmNrhgMhFRCfID/ZfM/Pe6eV3najGZLoa5MjDzBIBPAng9LpJ1lZfpYpqrjYyN8OD4MoC9RHQ5EZUBfA+AD11oIYioQUQD9jeAbwRwr8ryFt3tLQA+eKFlW0aGDwH4HiKqENHlAPYCuP1CCGQ/OIpvh8zVBZOJiAjAHwN4gJl/M/fRus3VUjJdBHO1iYiG9e8agNcAeBDrO1eLyrTec3XJYL2j86vxD8BNkAyUrwP4lXWS4QpI1sbdAO4zOQCMAfg4gEf0dXSN5fgriInehWhZb11OBgC/ovP2EIBvuoAy/TmArwG4B/Kl3naBZXopxFVxD4Cv6r+b1nOulpFpvefqOQDu0vPfC+Dfr7S2L8BcLSXTus7VpfLPU454eHh4eJwVNoKrysPDw8PjAsI/ODw8PDw8zgr+weHh4eHhcVbwDw4PDw8Pj7OCf3B4eHh4eJwV/IPDw8PDw+Os4B8clxCIaGblvc56zDeQUtkT0bcR0bXnMMYnieiGs9z/ISJ6wyKf7aEcfftGBxH9cu7vmlKJd4hofD3l8tjY8A8Oj/MCM3+Imd+lb78NQl99IfD9zLymDAFEFK7l+KsE9+Bg5hYLd5On0vBYU/gHxyUIEvwGEd1L0njqu3X7K1Sb/1siepCI/lJpMEBEN+m2zxLRbxPRP+r2HyKi3yGiFwN4A4DfUK33yrwlQUTjRHRA/64R0fuUwfSvAdRysn0jEX2BiO4kor9Rwr+Vrud6koY+XwDwttz2UK/zy3quH9PtARH9HkkDoH8kog8T0Rv1swNE9O+J6LMA3rSUPHrOT5EwIX8kx9n0M0R0v57vfcvI3CBhb/0yEd1FRDfr9j1E9Bk93506ryCibUT0aZ3be4noZUT0LgBmZfxlXzffw2M1sN6l6/7fhfsHYEZfvxPAbZAmWFsAPAlpIvQKAJMQArgAwBcgNBhVCCX15Xr8XwH4R/37hwD8jv79pwDemDvfJwHcoH+PAzigf/8bAO/Wv58DIAZwg+7zaQAN/ewXoVQShetw4+r7ewB8g/79G9CGUQBuAfDv9O8KgDsgTXzeCODDeo1bAZwxuSHNuP5tTuYF8kB6P3wewCbd/t256zkMoKJ/Dy9zL/4LgDfbfhDKnAaAOoCqbt8L4A79++eR0diEAAby97Qw9gEUGor5f/7fav6L4HEp4qUA/oqZEwjD6acAPB/AFIDbmfkgAJD0OtgDYAbAYywNcAB5cNxSHPQs8HIAvw0AzHwPEd2j218IcXV9Tg2dMuThtSSIaAjyA/0p3fTnEFp7QIgmn2PWBIAhyI/xSwH8DQuD6lEi+kRh2L9eQZ6rATwLwG26PYRwcQHyEPtLIvoHAP+wjOjfCOANRPR2fV8FsBvy4PkdIroOQAJgn37+ZQDvJmHP/Qdm/uoyY3t4rCn8g+PSxGK9CQzt3N8JZI0st/9yiJG5Q6uFzxYjSSNIQ57vPYtz0BJj2Wc/zcwf6dlI9M0rjDm7nDxE9GwA9zHzixY59pshD8Y3APj/iOiZzBwvIdt3MvNDhbF/FcAxAM+FzN08IF0USfq7fDOAPyei32DmP1vhOjw81gQ+xnFp4tMAvltjAJsgP3TLUUw/COAKkq50gLhmFsM0pFe24QCA6/XvN+a2fxrA9wMASfOd5+j2LwJ4CRFdpZ/ViWgflgFLL4ZJInqpbvr+3McfAfATqqWDiPaRUN5/FsB3aqxjC8RFtxiWkuchAJuI6EW6vUREzySiAMAuZv4EgH8LcUEtFaP5CICfzsWQnqfbhwAcUWvoByDWDIjoMgDHmfkPIdTr+3X/rl2fh8eFgn9wXJr4AMSlcjeAf4H49I8utTMztwD8JIB/1qDxMUgspIj3AfgFDfZeCeC/Q364Pw+JFxh+H0BTXVT/FvrQYuYTkJjJX+lnXwRwTR/X88MAfleD463c9j8CcD+AO0lSdP8PxIL6Owi9u2370mLXs5Q8LL3t3wjgvxHR3RD68xdDfuT/goi+BqH8/p/6YFsM/wkSK7lHZftPuv33ALyFiL4IcVOZ9fMKAF8lorsgMarf0u236hg+OO5xweBp1T36AhE1mXlGNeTfBfAIM//PdZLlkwDezsx3nMcYdj1jkAfXS5Z7eD6doNlrNzDzyfWWxWNjwlscHv3iRzVYfh/EnfJ/1lGW0wD+lBYpADwL/KNez2cA/KeN8NAgLQCEWDLpOovjsYHhLQ4PjzUEEf0wgJ8tbP4cM79tsf09PJ4O8A8ODw8PD4+zgndVeXh4eHicFfyDw8PDw8PjrOAfHB4eHh4eZwX/4PDw8PDwOCv8/7lJih4L7uEcAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_month.pr - ds_ave_month_nw.pr).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "122d2caa-7c89-4bc2-9de9-802c7b33ec56",
+   "metadata": {},
+   "source": [
+    "### 1.3 `center_times=True`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "1bc848e3-3cf0-4460-a8e1-1044839d7561",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_ave_month_center = ds.temporal.average(\"pr\", center_times=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "371b253d-999d-4820-9c10-f48133d04b0e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(90, 144)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_ave_month_center.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "d207d41b-e09b-4bbc-a77c-84dd229a5b8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x164029e50>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_ave_month.pr - ds_ave_month_center.pr).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a1d84d9-5689-4d39-8973-70ccb7fec98e",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## 2. Group Average"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7362bb1b-9a6a-4a75-9a0d-9ec0707da9bf",
+   "metadata": {},
+   "source": [
+    "### 2.1 Day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "ef6ab42f-c91b-4049-bd22-a027db7ea9a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_day = ds.temporal.group_average(\"pr\", freq=\"day\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "735e7f9d-c35e-481f-9639-c698acf6618a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2190, 90, 144)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_day.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 90, lon: 144)&gt;\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon      (lon) float64 1.25 3.75 6.25 8.75 11.25 ... 351.2 353.8 356.2 358.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc852f1b-7d53-480a-89c1-c74914af3319' class='xr-array-in' type='checkbox' checked><label for='section-fc852f1b-7d53-480a-89c1-c74914af3319' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9191b231-6c73-4160-857e-d4609a35f0b8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9191b231-6c73-4160-857e-d4609a35f0b8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-5f1892b1-cd38-47f1-ad76-07cf112adc9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f1892b1-cd38-47f1-ad76-07cf112adc9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a68088c-c39d-42dd-beb1-37ec5211f0bd' class='xr-var-data-in' type='checkbox'><label for='data-2a68088c-c39d-42dd-beb1-37ec5211f0bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-b73e3be8-52d8-4c0f-b1f4-417ce92d4746' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b73e3be8-52d8-4c0f-b1f4-417ce92d4746' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a2a079f-defb-4605-9a30-10f530d47045' class='xr-var-data-in' type='checkbox'><label for='data-1a2a079f-defb-4605-9a30-10f530d47045' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7abd48c5-1851-4cf0-96f8-d563c55d17c3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7abd48c5-1851-4cf0-96f8-d563c55d17c3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'pr' (lat: 90, lon: 144)>\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon      (lon) float64 1.25 3.75 6.25 8.75 11.25 ... 351.2 353.8 356.2 358.8"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_day.pr[0] - ds.pr[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "878b6b6a-7651-47cf-9618-ae50dfc15e2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1641e1190>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_day.pr[-1]-ds.pr[-1]).plot()  # Just checking there ARE same"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e33efc59-649c-4632-b7ba-799043353387",
+   "metadata": {},
+   "source": [
+    "### 2.2 Month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "1e36edc2-9d01-4881-963a-830859301123",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_month = ds.temporal.group_average(\"pr\", freq=\"month\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "0086e66a-3cd9-4ebe-9d2f-36603d158409",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(72, 90, 144)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_month.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "2033f778-7196-482c-95ea-fbf8f7d97e68",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1645f2670>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_month.pr[0]-ds.pr[0]).plot()  # Just checking there are NOT same"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e4b95fb-49e7-4905-82ac-a174d2959d5d",
+   "metadata": {},
+   "source": [
+    "### 2.3 Year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "477b1c69-08df-48c1-8e6b-77b13d707af1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_year = ds.temporal.group_average(\"pr\", freq=\"year\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "8b199df6-0cbe-4b7d-a336-47628726ee34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6, 90, 144)"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_year.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "89a13d86-e4d3-409f-b59a-6aeb685217e5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x163f5a760>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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EewDsdpbPAnB/zX0GHfuguOwgn/uyrtNZAD4I4N8y87drXe8aYdLuuAaASwD8CjN/gYjeCuN6qwUiugrAVQBw9q4zjcmuLrWjJncg6cwByHJ+wKmTDS4uLj+VXTc7Bb383Iq2TRjKa2DZwHfUKATobQBYs/fFfRGl2bHaTmT9CN5Fe3p0lPYzWX0JtmsOTKQlKbygPCVdm41DnoJA7LnprC5X3rNjjkU5fDWGRgTES0dy12yvU90+fh5HtweIC3UZ6ubJ7kfufJ1NZn3az9w5jlagez49T6rnY0dTL8674XxiRCrPUnx0H6JjD+fOY4Pl6v5tm331XlCaoKUuT3ER2pIengvWd5EmzAVlC0WmcCGXt4I4ecE1lfaLCiP6bGmelVxvc98dAIDeaRdmbmy51liOmW217bUDzncDQJf0ORA3nH9v7RcutZ/cEAKCpvz5BSv73r3PaC9ZXphHahkFBCAaAzEBwJcAXEhE5wG4D8CLAfyMt8+NAF5NRNfDuNsOi4vtoQHH3gjgpQCukc8PASYOD+DvAbyBmT87jgsYBZO2hPYA2MPMX5Dlv4Z5KVW+wV0w87XMfBkzX7Z9W+AuBAQErCMIoDiq9TcIzNwH8GoYltptAG5g5luJ6JeI6Jdktw8DuAvAnQDeCeCVg46VY64B8BwiugOGPXeNrH81gEcA+E0i+qr8TczbNFFLiJkfIKJ7ieiRzHw7gB8E8E35K7zBB4JiM1PVAL7MRAu6YBRlgdg0T+PlKJ9V72p4pTortkSBfq4NO5N3acI+rVq2JbGZIZapQdsAs6/+YAPrzdyyqwRgDTxdl3jlyx2tNbWOlN5sKctyHTrzTjw1BJdYoP/2PMKAr5hADMSOFZbrk6XVyrEyE+dG287C2zpbTvPXkzXizEb9Et3O7Du3Xa8BbI/3rYyFrtl327SoeMszxXHLWkUaFCdnxg5kWmjUFWtU6cTONapiRmRJEnno0+Cu9zXpBk3EC0XtnIKLbl9z6geyzuoryjNEQsRgLfwobUTHD2bElyT/PMd++3Lv46gBbnnfNbVyHE+CC8JyRo6w6RZ6sFq5KluSEROsDKSkY/Q3nY5xYlzaccz8YZgXjbvuHc7/DOBVdY+V9Q/D/Kb6638PwO+N2OWxYdLuOAD4FQDvFWbcXQBeDmOh3UBErwBwD4CfnGD/AgICAgqgiBC1gnbcqJj4S4iZvwqgjDVSeIMHBAQEnEgIKtqjY+IvobGBCNzoOG4yP+jqZHZrsNhzF7AjcgrACpmSk+1eCHxrsNnJOwGMq62YjyFuC1VoUBeVW8jNC6gr/BIE8PrqXlfSNmKQenbbD8d1F6l7RdtVMVdpY4nEZWRzdeTTdVnZEgT5rmXuLbPYjrIMe99NliVCeWPFqfVDZaU3PNen507NwQtaq9sy9cprpKBMUcBzy23uVOR3RTGY8kFyeEK59lnScV08bEkLtoyBukvVtaXPkLqSBQ0CegVB2eIlu0hStrls/r4kpABLxLCkhsg+v3qflUDQmN5q9pHnQ6+lceQB+79VHhEFA0u8OX5QTuzce/858IgpSqqx4DRzJ+q4Sc5foXCl85yoGzGd2ZbfZxwYk2LCqY6N8xIKCAgIWEeQKCYEjIaN8xKiCNxog0SnSgOoBYUBAGojZJpxZhi0XEPDWihZFrcfKHXP635aZqkz2/NJDJEfPPdpxECtEtPahvY7FgtIqcVU0WcmsiXObRkDpWZHYgHJvpmEXfWMT7do0HxRyhtoKYk+A5B2G5FHq7X3R1kgznax0hpKVvDotURpfj2zJVrYaxXNMJ09U1Op7Y5V5Wn42cmt7UuedIA0KVhjVqtQrRqlpMfZPYgWlawgZBCxGFJVW9Bjhf690DbWRysmR7swd3mWXq59tlRuKtOvyy+zLbgnZAcGErlW3ddXuNDrTdSycK4HUpbBlmcQ65M3tXPHUtLN6NRx3rqxNG7fS+B6OfQ+yLEFMo9+r+MG0qnNZtXRBwEA3fY8xgZCKOUwBmycl1BAQEDAeoIIUTP8hI6KDTWCxGlhtlyg6kaNoj6VwFd2VgqtawWljXwCXrEPg+SMK5g07uzPjwkVYiWiuO0k0trZsVcuWq/DV4cGs6M1JrTxtDzm4E+EkzQ7X8NTe86SVLVtPX9mFVE3L1Hlx3NoWTTZ+ktZDCWS5F4vkbIQC+C0oJpsE3hlpq0xDVjad78QvymUDS9BjtaMzMrxodpytrgiYKnE6bdvBgDE5z4GANDfem7u+mZSc8xC0rHj5ycN66dS6LW4YpIy/CfUt6K07HbiFNXzk5P7XiG+Rmysm5ZjAZDeJ4nR6Jhr/E2fYFU2R9rPLNPlozImYtWoFaOq16r4HTcKcVJYC7mVGws3cdymX4hVVrDsRgDRimR7AiqwoV5CAQEBAeuHUNRuHAgvoYCAgIDVQBQTAkbDBnoJcT5gLOZ+KkFSdWP1GIhFseCYkBia6poRS11dDSzuBM6S6q0GnR84LVCqI8d9oJTSElUFF9RfztxH4kboReqC8ko8yDEpCBHldd4KlFztk3zGRNZ15jsPM9daeVuuS0dpvH6ZC5/E0E85c8fZQHNWZLAM3JrJsugL4yb3xVdh6HezrHnti3+/pDCaBs+p37XF3dQVaPugrl117anbLm5mrjulEut5PCUAS2luTttt6qKLz7rIHHNgr9lZ3XEe9bzVIns/2HP3WuII8tu5ZB+9B+p67anQgBzc7aXWXdXzPV+6jzwAbSGFUNK1FGzrLlXFhCSvkZgpGzTAcXY84LkrzYVIm1I8r5+50K3LVb3bngs+dc+n3z2531FSobqxKhAoCi+hUbGBXkIBAQEB6wgCKA6KCaNi4EuIiG6s0cYBZn7ZeLozAjg1sykvsB/1zPL+vigyJym2TZnLnmuqxZOfuWs5Yg28tyOAURHQ9AgEWjwvSdlSveFRwcso2YBYB9qOartV8Bx0Npuwoy4NXZen3voB6ZS5QB5oeiaPtqWH9pxG7LHS/rJQsrV4mc68NZjdiikjVHjJnAQlCoiF1BTF7+Y0UqEw+8Xm7HJTyrTbEt6t7H7opxYzk75bZXFNWE66WVDcT6C0g+Gt5xSRBNTJT5gUK6dAQnGsJ7WIUu3j7Pb8GGhgPzKz95gz0oeOrd6Orndz9TY2IspKzmuRPq/IIHtklEZEWFaNQKV8R/lnyFq0YrlQv5tpFaoF55E0SJNXBySKsve9tVp7SixIkVmkanFFeYs4a0ytrMzqsTTycRa1I0Ic2HEjY9gIPhrALwzYTjD1zQMCAgJOOYSY0OgY9hJ6IzN/atAORPTbY+xPQEBAwMkBCuy4cWDgS4iZbxjWQJ191gUUg1szWEiNia4y/CQW+ZTUYNjUbuDIstnWFdfCXCMvX29dEVb9IHNVue42AFYJwDo2HBcHeyQCH2mNAlt+Mb3Dy8bloa7C2VYEPzWp4bmt2BIvslyTaIACAoDKYmlxlAXJrTKD15bNMbE5J5QFnlWPT91ivqtSz0uxLZ9h8z/E3aN72pwj1wXnu2bifLvM+cJ/3OjYQa5UxVDo/ewt2hINhXII6j6ypBRHa9BzJ1EspQm8PrPnyiMqJxwAWa6P3gO7H7N1w1nXnYynHmNJBnLDuinbZ0fbOSLP24wc1JVUn2ZTiB3d41lROyUZeG5FVs1E5zptqQsphaGEkkRzjtR9pi7MZie7P752IFUokCwvWAKKKjyU6gyuEgQEYsIYUMuhSUQXAfg1AOe4xzDzs9aoXwEBAQEnNoIlNBbUjaq9H8A7YCr6lUsFTBh9Bg70IkwL2WBe6m9rYHWprxnlhG2dPLU3PmwKt/bnz8q16Waj+0FdRYvNzGqRzezsWM/s51oomR6WWkZ5bToXSndOvG2+ooFLmfUD9/AsiIY3I064fhlovW47Q0ZGOPBpw6pwZrPr3ZOoPpmoMkdCKlBVimUWpWwtpc1s27FNyKxTCwsWFbkjq6xsLSCrJyZWSEvWq+IFp8hEtD2LpOEpNAi9m/rLDm3cIyD0tcBbUZWDvPLTVpnBPh/GCvBpxEwROvJjt+zRqntyGX3vGUgZlmTgW7M9a8FK+3KeCNlzd1ROpB6E6WZ+7ClxSsj7RfL0enT81Ep0df2sQoKnbKGKGT6V3z1e762ex1LD5UOt7Kl5xIf2AACSzWfl9x0HQp7QWFD3JdRn5revaU8CAgICTiIEdtx4MIyivVX+/b9E9EoAHwRghbWY+cA4OkFEMYCbANzHzM+X8/4VgHMB3A3gp5j54KA2YgLmWpFDJc2rWs+2zD/NA99FMrsjd6yq/TZEba3VNf7qbseoGy/3UzurPyYzxNmWaf+YxKA6ItrVEE51A9kM29aU8ZWCo3y9GqZMLVmFmzW2pTNdPa/SodmhaGcln8vNHFWMS53kW9/CSjzrRqG0dSKyfcn0yjIrCXAowLqcLNuExmguX165p4rmmkyszOqUC1TwgoK0UH+t2nl/2SYlFsqj2xPmY1O2UBKc2Iz6+bV0t5/gGDcz60hm3TbW0Jd9G6qB5iTcagxDLCpbSvsLfwcAaD/2qWZ5+/lms1KfHQvN0vG9+6fjltHzqxOOFb5S+pJjVWv7WlPJWkBKbe8Zq4S6x7PE0qZXm0rUwFniR5ZS3exk6uJqmfg1llzFcsBYW54FVKhJZZXRpV7SoT1YmD9H+q/pBBU5D6tEsIRGx7DX+Jdhfkv0Mf41ZxsDOH9M/XgtgNsAbJLlqwF8nJmvIaKrZfn1YzpXQEBAwOgIMaGxYBg77jwAIKIOM+d0NYi0tORoIKKzAPwIgDcD+A+y+koAz5T/rwPwSYSXUEBAwAmGwI4bHXUdmv8C4JIa61aDPwbw6wDcmsY7mXkvADDzXiI6rexAIroKwFUAsHv3bsQRoWF1t8RdomWsxbWRzO7IaMJ9J7gKAD3zXlVZfqWhbmq1rXtghjQIK33om2PT2HQ/VjdNf7mQvW+puRUlHaIko48e7pp9psTNNyOEC181gJEpI6ibTIvKzXrBZGWUHFpKCsQNn9zg067V3RMTrH9H3Ti2b0oB9zTDomMHrEpAN9GCd+b8qsRgSxVI276CgzmfR1Twy2lwWqTgChnA3mPr5hFXW0khQT94bWnXVi+um7njlKqtLlbJ9Pcp2/7/ph0zr1M3XHr0kNmwVUqSC3096i9bV1NsC/ipqofpa0e+yeqSTYFC+Qd1Z1piiayPOLsHkaYttKUMg7rH1M3o67RNzTvuN887r2Mg9Hy3xLYWnbTuvcQry6Gwoo2NwjafUq90/55oQza2zqBRkb4wDhARoiDbMzKGxYROB7ALwBQRfQ8yt9wmANOjnpyIng9gHzN/mYieudLjmflaANcCwCWXXjpeZ29AQEDAIBAQtQIxYVQMG8EfBvAyAGcB+G/IXkJHAPzGGM7/fQBeSETPA9ABsImI/g+AB4noDLGCzgCwb1hDxCmi3hKixUMAgLRjwktKi7XlvpEUqJ3JnBhaXqnm5oPfMqtntoEevsf8f9oFufZ1ttc4fL85VkuFz59hFZTVskrbxlqyBb20tLZN2IxtsH+qkU8sVKtDiRFbJGC82E9tSea2WE2LWuLcy4VVa6fdIBxYEotRtqnloYQHXzvMrWKsfdS+HZY+7Zzi3PXqbD0+9jCOzZnCbV1LcJA2pOGmUN0TVj24nlVApsSjNqtem5ICEifp01dsVnh6fa6GnbWAOnNZO+55lTasy5zamburdQdks3Hy6Mpafj7XN68cdqSWnRAX0o4mbh6zz2/WNzM2DZmIN2Iznn2xMBPO7pM/O1PjQi1X3W++HVlyji1PLh4EVaNXRDZZdRFRT5XJdV/5rmn5bbV65H4pEciMk9Cplc6d5K1FLYHOzSmnFLwQX+S+KdfA8oDks89Fbb2ZaJwZJkFFexwYFhO6joj+AsBLmPm94z45M78BwBsAQCyh1zHzzxHRWwC8FMA18vmhcZ87ICAgYBRQyBMaC4aOIBv9kV9ch764uAbAc4joDgDPkeWAgICAEwfCjqvzF1CNug7NjxLR62Byd2zlr3HlCUlbn4RhwYGZHwbwgytrgcCNNnqShxJpToxX5K4gsQ84Zr646cQt01c5+agBEjdL+s3PmnVPeqG0Ly4HLb0guRFRbwldDZDO5XkVvjaYBooJmctMtbp8RYGtU+JuccokpOIy05hroaSCd7kxkSUt7F8UbbCp/DGKnvg6XJWETEXBHLNNjqU0rxKQTm0GABxs70AjyevMKXliXgLgkOXGsf3mWnqLSGX8bdBa7mHk5dkoGSBtzVjXVkFfzCk94K5HFFuXj3XZKWmh72mhOUXbfFen74bzXUc5XTv59PPVdDk+fJ9ct5IBWpZgA3HpqpvMV2ZoakG5uGnvmWrDLcq97MR5YsnWKTNW8fJCgbih1xFZV3UzP0acWreh9t8vjWIJJNpnTjN3qL0O/X7KT5K4suNDxs3d336+/Y6p+63vPVNtT0Ouz0WFE5ISHONCcMeNjrovoZ+Xz1c568aZJxQQEBBwcoGokukaUB+1XkKaL3Qig0G5MtPsUjuBvC5YIcApulU2mKwB5MwsYCU6tKXQmp35SvBXzqOzQeK0kg6qzWoXm1aPq4uGKi1rErjUMI698LJVJeCMuqzWka+iDU87rp8yPvXdQwCA7dPmfJskqKyeAy19roQEVWGICdjeERp3qvRdM54Lkjo2NWssP6ULt93JoqxThQlLAdbZ64wp8BZxRiDx0ZsXy88PubsUbV+XzxaUm84tl5UXtxZQ91h+g1Ls035mhTX8Z0fabakmWic7xof/AyZtJFvOln6IOEnSzc6txfRUUkNVBDxCRgRgWvX5VKmjISQa77l0lTysJafWmvRfLXKfrp64Vr5akqqNqPRrOSZ1FCD0uxr5yuV6n5TOraSduFnQzdPvgL0eziwgwKiWqLWu51MVlPGArDLGyC0RXQHgrTBFy9/FzNd420m2Pw/AcQAvY+avDDq2SnmGiLYB+GsATwLwv5n51WO5iFWili1JRE0ieg0R/bX8vZqIxjP6AQEBAScjCKA4rvU3sBkjW/anAJ4L4GIALyGii73dngvgQvm7CsDbaxyryjMXAvi4LAPAEoDfBPC6ka5/TKjr0Hw7gEsB/Jn8XSrrAgICAk5RkLFm6/wNxuUA7mTmu5i5C+B6GNUYF1cCeA8bfB7AZklfGXTslTCKM5DPFwEAMx9j5s/AvIwmjroxoScx8xOc5f9HRF9biw6tFgRGBM7cHkk+wzuXXe1nWqtbTlxfhUx8OG6Ixz279NjMLafCmJFtp6xImXtMtqF6TuAHWF2XXtNTMFBo9nvXUyVwoRL92r664fR0+4+b694sKflz7cgW/2tonobG2xMV0/Rch5SpNhwXl4oqJfTU3Sgn7PfVpUPwM1xiS8DIVAFy61Mn+K+uQoEVEtVll0hg1Q/E/eYFyf1iasxpRmYolBOg3Hp7PlOZDqWwyhqa8JInAUTd45bwkkwZd5KSZ+A9q+4d1uaSSAoxJupiFdeqjJFeN3UXbd5TKudR9QufvGO/VxRl+VuWzKCF6sx4JTJW6h7uJ4yMu2CObVm3ZkbSMf0wpAeOYkSF5yr/PFsXn3rnKLauRiUWNaqEbVcDQp0XTB3sAnCvs7wHwJNr7LNryLG1lGcmjbovoYSILmDmbwMAEZ2PE7SuUEBAQMB6gFaWrLqdiG5ylq8VxRfTVBGFHOOKfeoce0Kj7kvo1wB8gojugrnocwC8fM16NQa4xbAK24aVtvYtF2akFe3Zya3XpinLkC9eN/y8jSK9dYjUFTFbwoGSB45IDWaVrb/7kLG6t06b2eDWTgPPPHczgMxK0kmmGkvHpTjf+VvMdasKA5DRtbtyjFpYmo2eWhpvNk/pS9DYlndQ4oXO1r1ZrvvtKlNtcNvKxtf5QdD75Zd8LtGMszTunpb8lmPV+m0VFaqUWsxVCg2+dUBRdkElagoAEKklZovcZdeTPvAdAEC83czs+2oJedeXtGezLsinX/BOLSC1kGIlDESN4vXYAnyqwWjGwr3HmZKEPEti+eh5E6Xf6/kjclIMIvdQsPZa+qbkE2IuWD72Oh26fW49c6bhZ10HY6RUr8wS2s/Ml1Vs2wNgt7N8FoD7a+7TGnDsipVnJoG67LiPE9GFAB4JM/TfYublIYcFBAQEbGAQaDzsuC8BuJCIzgNwH4AXA/gZb58bAbyaiK6HcbcdlpfLQwOOvREngfLMStT3LoWh+jUAPIGIwMzvWZNejQBfWbewfZhpMax9j15dGd9xzlW2bdS+KC2boizWcOO/mrjBW//eaN5d/mjjAn7nH7wTAHDJi34UAPBXV12Oh4+b2eOOaTOTe+CYmbFr0bxt0/kZ3jGZzZ7ezpIgZxpe/0VpOfKSO/tc1PXyC9TZGICzXrXpdNasdpVvGfkxPdOO6NjZms+iCq3Gh1pEDg1b4w+KrMhdPvGVG+2ixVrB8Sl7HnPWkbPs70tOwiidYTQL+9/6olmnhe80bmSL64lVx6ntb8uLU+k1x17RPI6bWCJzz3QkdQziKVPfUsfVjjRFSCTFQWnc+rj7MUqFKaqoaQPllnjWvMR5uscRqfVZ8DqUWyPuflXfwZFANJaYEDP3iejVAD4CM7TvZuZbieiXZPs7AHwYhp59JwxF++WDjpWmrwFwAxG9AsA9AH4y6zrdDSNE3SKiFwH4IWb+5sgXswrUegmJftwFAL6K7LeAAZxwL6GAgICA9cF4XkIAwMwfhnnRuOve4fzPyIsFDDxW1lcqzzDzuSN0d6yoawldBuBi9ms+BwQEBJyqkDyhgNFQ9yV0C4DTAexdw76MBQU3iV8IzVVBGLJv6TZ1I3jB3kHHVJ1nFHecnvd4L8WD4kpbFpfZkf3HAQDveftfAwDu+sf/CgC4/LV/I0dfjp5k3MfiArrnsCEvnD1vgspK1f6Xew4BAK58lFEySFK2bjilDUMC0d2m0XDTsgxKme2nKTzxBuuOczXwXPRThvArLBW7aVUi1D0n/XBum1/4zqpJyOq2JQdoh7JSDhpgT1QdQ11bqiggrq8+Zwl2GjgvUPVrPFt+iQpbMM4WkpPtUWwp5vFjnmZ2+cIHzaFP+TFznbZUiaC/bPXyLD1dqO2uBh4ALKTmh7SbRGhJSYiORzJRAot1gerXAQ55xk8R0PVeyYiEgY7nyvWVOawahr1PcUYusb7dChfoiC73+qDMvxuwatR9CW0H8E0i+iIAS0hg5heuSa8CAgICTnQQgbQOUsCqUfcl9Ka17MQ4wESlM6BaM9JVeBmrLKBBZIQqq6y03x4BogrTzQi75iRx8EwTWP+B7zsHAPCBe78LICvz/VuvfDoAE/BfEqtp/2LftgNkFpEuf+/ZmwEYiwsAtvFBO1OPFx4CAPS3Gq0zVXDWAmiakBpHZAPZPs1Wg9l9ZJadoiqt0Aa8B9w333Os9yuVIDY1JfG00clm3Z6Va78cWj5d7J+IqGAB2fNW3DB3ferTj/2y3x7dm+NGphGn5cofa+4liz5bT8p8qxWKuGm12mzRPy23LsSE5YbZvtgz90DvOQAssiQRl1DngYxQACJbHlxTG8jf2VuMyWGr53epHFeiKCNwaBHCFVg8a2YdBUtoZNSlaH9q0HYi+hwzP3U8XQoICAg4CRBUtMeCcb3GO8N3KYKIdhPRJ4joNiK6lYheK+u3EtFHiegO+dwypn4GBAQEjAk0Lu24UxoryRMahNWy5voA/iMzf4WI5gB8mYg+CuBlMOqv1xDR1TDqr68fS0dLcgeG5fO42fCaD1LXDVN2nkLzJYF1DdDabHdfJ8sJuC908+6bH3vCGQCAa3/vKwCAOw/+HADgaeeIHlhEOGPWuDSUEMBzot0lp1lYzhed0z7elW7GudOSY/Pgt0173X81fTn9ItN36UdHA+1plrOirjolUfiOGavg4LSjOSXqYtMgtq6PnLEobFMihLrYGvkgeT9lOwZdqVSnXn513SHWMdCcFrYD5fMcfPj3M7fNUwew1UdsAF7yraJG9r8cu9g293JKlAy0/cU00+JrSe6QqjtoiYPFyKgqJOL6nJN7HBOwIOu2xOYeJ1LWJBEii70XzvX5nml/LHSsfQUMc06y7bh9LBI/ooI+jf99XT9CgnYAwR03BozrJbQqiLieCuwdJaLbYAT5rgTwTNntOpiKq2N5CQUEBASMAwQKFO0xYFwvoZGnIER0LoDvAfAF1FR/JaKrYGprYPfu3UhStjNCW1V5QIC/9syJooL2GPtF7Wq0VVDnttph+YA4kAV+bXDfVyfQ/VK2KgfLopI81zK39Z3v+m0AwL8+bCjbl51p9MYaEVkK9nxbivGlpo3DYgHNSJtaCnr7g18FAPQffsBaNcmyKMGLuyHaZggRqi9mL7O/jFTKUquq8ZRczmGR4FY+Qs8peqdWjc6cW15ZaoVbHl1hrRbv0dRZuTt7X+rnrTD9nGros1Sk5SfeLFzb8++Su5dem/a3YVXBzfaGb11b3bMUtHjYrBNdO6WrLyst3nNGHOulaIoitj6bC8J5b8mxTU95ooHUkliUFXJ42RwzZ58xj1wDgOO8J0G/g1qsUU/QKxl7HcfKb49jFbKvMOFp7xUO5eLvwFhBBAR23MioW9RuhqQ0KRFdREQv9Ira/ZtROkFEswA+AOBXmflI3eOY+VpmvoyZL9u+ffsoXQgICAhYMSiKav0FVKOuJfRpAN8vBIGPA7gJwE8D+FkAYOZbVtsBeZl9AMB7mVmzKVet/mqTFb2ZT2zjCtW05zp0bp2dxssLcow8YCW6Vv4sPBY6LXv79p2pvf6rM3mdiWo5bL0+PaIZZ4rEbVEk3j5t+vjY04z1sZyYNnTG308Z26eM9XL/gplVnjlrjlGrSmf/s/tuAwDs3/lEAMC21h344s+/FgBwwfPMuq0/8EOmb1pjxlMcJ2csliRmodesFpCWFZ9vxPb6puSabd0bUbm2iZlayloO7iaZoriOY1MyWduN/A+BxqR6KduZmM7KNVw1KJFWYUtLe9aawtb0YbbH+ZacTeJUK9CjUkfLx+xzlk7nOTpqXeyX52STxHeOLqdYkFzXecnQ1fhe8+HvmPPN7QQAUE8o3I0OmlozSWjQ2xLThxSiM+eMNYCc2nnkxXeyuFneAuolXNT/kza0rcRaVZlKuK+5l6mN58dcxzEiyt2rsWNM2nGnOuq+oomZjwP4MQD/g5l/FKaU7EiQuul/DuA2Zv4jZ5OqvwInsPprQEDAKQ4t6jfsL6ASdS0hIqKnwlg+r1jhsYPwfTCuvG8Q0Vdl3W9ggPprQEBAwIkBCi+YMaDui+RXAbwBwAdFYvx8AJ8Y9eRS57wqJlmq/lrZFgxF1w/6sue+ImfBdx8UaLTOsi39LatUJ03dCjZore4FJ5PcL3imGex9yXLXs/RTLtFUMw/5g8eMS2rnTL5+iRsg15hyU3zQXWlju2Tba6luADgo7ht1kUwvHQAAHP+bPwMAHNt3EAAw84IfBQBM7Xy0Od/eb+Pin/1+c2xTHh+pqRIv7DeXqwXXBGl7rlDye14owIviwltyKNOAuX+ZfpgZv9SjGsfiCkkTdUdSIXCu7j7yXF7LjhaaP+ZTMpBJmm8jIztkbje/YJy6+TriBlS69eFe9mOlz1A//1jYZzbVIne6/9JRW6pBf/SWZowrrSn90D4fXDL3dXMntn3U61IXWltIDurao66Ugeh30Z8zHCCl/c+0hM7N+fHT8y72Ukt7j5YlnKvEAdW7k/vU6mdFA5nMs7MsxQ59Eopf5NC9dnWJs+NiB7LvcfYMsG3Xun3HyeImDC0dEzAcK1FM+BQRzcjyXQBes5YdCwgICDixQcN1tQKGom49oafCxG5mAZxNRE8A8IvM/Mq17NxKwDCzUp1x60xO9bBsMS6HH9qXBDydhTf94LLOuIms1lrs0WqVds1eeI3SBNGSmXFCZ0s2kNrMtRUvHjLnb07hYJq/JTr7PrBoznP6rGcJJWwD3TrT1f5vapkZaFuW7zhgrKldadOW69ZA9iceNlbZDzzuUgDArb/2xwCAHT/8XNPGzf/XnOQxz8T0eU/MXY8lJGgZbJ3JHzfWFMcNTEmgWynFSgG26trIrUYcEY72dAbfyI1Fu6E07txQII4Is4mSF8wsXMdtUe6fWi76XHQTthajPjNxlJ9h+78zzJnGnbZzQDT4FsVMm7UUd6WgZ+WpWQkIcl+UNBH1DOVdA/DxEcPH4QN7kZ4lIVixrPQ8mkTaUItI2lrup1iQ+utqGOj1HNryWADA6Q1znm573l53RrM2+2qpeO3rkjUbM+sqlr7MKA1/0dx36prUABILyBYS7C2BRXmdhByhKQ/LierzmdO4Cb2+rpxL+gCyEvSugbkkC/ZrP0D1flUIzLeRUXcE/xjADwN4GACY+WsAnr5GfQoICAg44cEw7Ng6fwHVqO3QZOZ7KT8lTKr2DQgICNjwoEBMGAfqvoTuJaLvBcBE1IKJB922dt1aHQiZib7oRX014/vocmKDuH5+hmaSa+6FBl8Tzlw26gzT13FDSgJ03/WbZvsrfsesv/2fgR27zb5KTOgbd1iy+UyzvmPcIJo3BM5cNuo16Etf7jhg8jUevV2CvVKwrN3sZAXHNKgrY+Bn5OtnJyZbsuG0GeMme/IuE4DGPtPH864wLpv+40wOkKth1/C/eOo+ktIO2fWY617ubEG7Z/rfSg0p45jotFlihNyTprjTmJo47rlS5sX/pu4XHavOwgNmB6df8eH7AABbtl0AIAvYL4r7Sl03EZE9t+ZRqUtLnyF10y45z5QN8kuaiIbCjyybsTjWFZdox+ywtdPAJtJ8HFE92Gc091iII6o0YcdR861OPx+JEAaaD91p2puTAoaJaV/zybTvjZhsrpe6ZwtB+SjLydI2VDFhVoradaVvU4f3AABmpE+H2iY5fLZJmGHzLCUw/e93DOGh2RfturZ5tlJxwUW9JSxSKzeOxNq5PIliRmQXpihBT8gM8MhGqv5x72EzvnqfHrG1g66wS5Tg4/8ujIzwEhoZdV9CvwTgrTC6bnsA/BMq6p0HBAQEnBqgwI4bA+qy4/ZD1BFOVDCbYO1Dx0WbTGZ03z5oZmMX75BZZklg0i2VDeSLe9l9LJ3bLOsuGsjd/HwzPMc1mH3hU/GNnzKllx/xoiebPl30GHOsWA7JzDbTpnxyo42Oti/hVc16f9puYzU1lg6ZFd/6LACgdeYj0Jgy26ZlVnZsysxSbfBa2lQLj4hw+S4TRNYs+kiCyI0zzgUAbH/1swAAy2olarG0NEVfaLu2L0pQEGo2JWbf6MC9AIDu1GloS9Bd951bMsHr/qbTzb6iKZdlxRNaqs8H6b9HIJhvC733iFhCUQO97edL3wwpJO6Z69oBM5A7GsqIEFXq5rQtg71jSYgAiZntz6s6gU65hZLebc5gryhNZCrd5lPVydVzrZbFpoX7rMXY23aeufYtxlKOhDIdLRmK84PbzHOilksrJkxJ8b9k3iikKxlkExvLMe6Y5QNLGZFACQ/6rPr05yX5+u+Ta9kxHVsV7amG2XZY2jvcNufd0ZTrliGZTRbsD7FaqGp1njZlLOIjcr+m5LyHew3saEu7/bwFpAQiTUXQootpM7b7WK1AUgvPfM4IEWfPkSW5XuARW4z1pRTtLZ0xKxwES2hk1NWOu4iIPk5Et8jy44noP61t1wICAgJOYBDV/wuoRN3X+DthklV7AMDMXwfw4rXqVEBAQMBJgSDbMzLqOjSnmfmLHjuuX7XzJMCswpzmkr6xzwTCt0wZs14Dt62IcETyJ7ZKoFvdcOr+WPaICQSg08i7MnQsJJUFR7ZcCABoaEB17y0494onAgDapxuXU/MsEyTnxaMAgKhl3BUpG7dPCrLuCBLRzilRI9gM41bstzabvj7WCEok/aXMnSN5OTNaLmHWuOVIsu2ffo4ce/wApsQdlfyzkeVrXmxchsnDxrVFszvMeAnJQHM94gP34OboXADA+ZuN+21W3CCax6GKEDhq+rNl3y3W9Rgtm2vXL6YSBDpyne2DplBef+vZaIlMvhIs/BIL1s14+qNtHx/qm2PiOeOW20ri5uuLSoUE+BuH95r+HHvYjp+6y7DwsDlGMv6ti1AwvXg3zhd3WNI0eS47j9yduy4WsVWIi3L5S/+EaMb83/we89wtzO0CABxrGfdf3JGKJXpd4kKaa0eAiNBq+yqg+1Bq7o8KtSoaMdnSDSp+q+7LlrjwFqV83+45US9IgS1xT8ZCyB8d0zcd+zsXTBvbps3yff0p7GqY56u9bMaR2bhrv33ItPWIWRGLRdv2bVGUEs5go9RxDxuX8jkwz0z0nbvMdikPcrS5095vJSLoc5flxZk2L9pmctGW+qktTaLPzL1HehgnAv16dNR9Ce0nogsgXw8i+glIMbqAgICAUxMUklXHgLovoVcBuBbAo4joPgDfwQlGVGhEhB3TDUvJfNrZmwBkQWy1hGZbsc28n2tooNPMkrZIfSqdLHUdTTKdjevnslVQkMCzcLfjow+a7d/6MrpHTFB8etFYZb09Zpa//J3bAQAzzza6rPEdnwMA8EP3YVasJcybWfHcDmNhRftNu/G8FDpTWvTeb6F7160AgON3323aPd9YAUtPfykAYPEdvwEAaL36LQCA/Ve/Gt2jJnh7z2cM9fZZ/8NYCs1zjFWhM7z48P2mP0o+mNmKS1qiDaYadTKrPSIz1OOik0bn/QAAYHfvgYwOHJtZqpInLCVdAu/9rWebPiZtG+3fLsHwA0umXSWdHBItvJiUct9BT8ZFCRf39sznbiFvqNV7MDLnn5+KsVmsGiU49M5/CgCgodfuaf8h7SO5z1Cl421m5r50200AgM7jnmrO+7/eBQA48+rfBwA88AO/jLMgloJYlarXN6VKE14ZheiYscj6vD3TS5NrV9p/J82sdQDYOaNFChktaU8tCLVUF8QC0hC9PrOd6S3oiZ5hU6j0LSGQdJubAWRKEJrO0I8Ih4yaFzan5vo2S/Bfrfr7ls3yaXKZm/7xbWhc8e/M9Qh9e0qKGyZf+Efz+Yx/I9dujplJlnHvclaG3O2LqmKod2LbtFrmsf2+6jMz38lbjCOBKFNDCVg1ho4gEcUAfpmZny3acREzH137rgUEBASc4AjuuJEx9CXEzAkRXSr/H1v7Lq0OhBRxfwkdmdU2H/wWAKCz38z0d5wpFsW+w+jtfJQ5pmtme1ukSJoWEdsqMYL+5rPMJ2dJsJFXLU8T4+aWzKx1z1t+CwCw86lPwOZHGipu48xzAWTxFkX6wHdM+3vvBgB0H9oHEs0zOutxAIBYaLu0YGbNzSXz/u8/eI9p5MxHIP6+HwcATPffZ/a52MzGic31zT7vSgDATQeM9fOk17wKX33DNQCA5/ylsZL4CVKYTmbYdy2ZGfE5W/Pli92ERp0t92zSr9lnV0dKMst4djfvtpbO8SSv+9WyUtHyj8zet1PPJjQuSGLrmR1joqoFFslcXmMnjShFwlK4TWbAmyyX3ny0Zb0W9esm2f1MJA7G0odjm8z9n1pWLTQT++juegIioYL3xWpp7DLJvcsys9/1ut8FACyJLtvmhNFvbJf+ioVNMk6JXpcmY2qWriSeLh/JtknfNEY3L9aSlk9X/T5uTtl4ZcfWuJaEXdmgFsu+prnu0w/ehYbGCufMuvioSZydh/mMtpnv0ZThKGG607CeA022ndv7NQDAwjbzDOst6BwwcZ79V7wGW/WnRK7nqMSvNj3dWEAPCm1c6dhnzLbR1VinxHceWDDLZ4j1d1DiP5vFK3GkB8xI0q3G1OIor704KkJMaHTUtSVvJqIbAbwfgH0ROZVQAwICAk4tBNmesaDuCG6FES99FoAXyN/z16pTAEBEVxDR7UR0JxFdvZbnCggICFgVxpQnNOz3jgzeJtu/TkSXDDuWiLYS0UeJ6A753OJse4PsfzsR/fBoQ0AREf3Uqo9nHmOgbkyQONS/AngOjEzQlwC8hJm/WXXMpZdcwp/97GetzLvK4jcevhtAFvBOmtPWNaSUZguVlxf1gFRcK9ycKrSr0vPNuz5v2t1lstwjcZeld92M6ByzjsVVokXEoOoAkqmvbh4WyrZZqWoAJmis7hFbJkFchoubz8b0PkN0OPpPNwAAph/zRLOPnl/cJEenDZ14bnEfWOjPXdH5ai88KH011/zdZUOnPWPWGMvv/YZRE3j+RduxSai+R8T9ofpe6tlS/bJjDvXdKgtooFlcKkofV7dMKtpkUfc4UnEt9b0CZ2X1zgBzDiU6WA+UulH1nsv5ErlOICvHocH+RFw2ZeU/tE2/EKLvpvXBJT9E5H33dB9//bB2/L4B5vr9Zvwigep2bB74rtm+sB/JvNE1TIXef0BIJjuOG7f2sXnzPZpaNG7AeGE/EtlXn+/4qChPCD1dvyvqUjzaJ+tScxUegIx2rUoXqp9HnFqFB4U+F1qqRO9FLOkNS2hAHlVLcGiK8kdndtOXmfkyjIBLL7mEP/uZf66179TMbOX56vzeEdHzAPwKgOcBeDKAtzLzkwcdS0R/AOAAM18jL6ctzPx6IroYwPsAXA7gTAAfA3ARM69alJqIPs3Mq6qsULee0NtKVh8GcBMzf2g1Jx6CywHcKcXzQETXA7gSQOVLKCAgIGDdMR53XJ3fuysBvIeN1fB5ItpMRGcAOHfAsVcCeKYcfx2ATwJ4vay/npmXAXyHiO6UPnxuhGv4KBG9DsBfIR+yOTDswLoxoQ6AR8HEhADgxwHcCuAVRPQDzPyrK+rucOwCcK+zvAfm7Z8DEV0F4CoA2L17N8ApGhJI1VmZKlYvxcbK6Ij1kWtHkxHFuuC2FF6TmWJ85AEkonFm18ls77t//ucAgHN+9fXmfKLthYufjkQSPZckwK6JrjORzLintwIAlluZ0m+ja5IQVZ+Nls39VD02uucbAGBp2VPf+wJ0bzE6cgv3ifpy8hUAwNy0oalDCqIpTTV+8AHs2WoC6afJxLo3Jwm1C+a6dkwbK2TqQSOW/oTTzwUAbI+XsZAYi3E50URAMyaaeHrM6o9JgbWELVVWEwuXNfbeMGOkiY4kgX6rxI3M8tGZr28JWak/ypJ9I+QtFA3kp0JCUWvDzJDFuozyumJ+uXfXyoi8qvRVFoq1Rrjolak8xltPzEMtILsvFf+3VebV0pLr/dweY7U/o2/uee+sxwOparqJxp8wR441jQVki83J96s/sx0NKeutVqa1uI+ZVELScZWObF08bK2n+SmTxKzfDdWfa4i1ppbyQjSN6VhU2SUlQJ8vJXo0yHyq2nbZ68EqcY8BTFT7vgDYTkQ3OcvXMvO18n+d37uyfXYNOXYnM+8FAGbeS0SnOW19vqStUfDzMHmkfqHT84cdWPeOPALAs5iNLUtEb4dR0n4OgG/U72dtlN3Zgo9CbuK1gDGN16AfAQEBAeXgostzAPYPcP/V+b2r2qfWb+UqzrdSXAzzAnqatPXPAN5R58C6L6FdAGYAybYz/58p9O3llfW1FvYA2O0snwXg/jU4T0BAQMAqwdbyHhF1fu+q9mkNOPZBIjpDrKAzAOxbwflWiusAHAGgoZuXyLqhhIW6L6E/APBVIvokzFv06QD+iySvfmylva2BLwG4kIjOA3AfjFjqzww+hEFpH0uzxhWgxdNsYTBFFINEv0zdB6nqo2kgeq/JMUq3n2v2Wzpi3Q82yCqfs296JwDggJWVN6fpNCKbQ6S5MG0JxkYL4vYTPbVECnqlzIgPmgCw6sp1txjtLHWTRXObAQC9I8YFEt/+JXzjTz4AADjtCea5am8XN9+3JIu/bdxnxzvGBRKddhFO7x4yfUhNHos6otKOceFpNj9E0233rBnHIyA7Z9qd7Jc2TAC6Ky5PzRdS19tUg6wrTZUmPnuv6f8VjzDj+hBMG1gy27d0YuuiUbULhbarwWxbsiJNrctRA9/WXaKu0STv0nPShNDyVP6t6yktX++2U7bNRUxkn6/Um4hqFy0hQV1RSiCgyLrQfPKCv6xtu8SEyJZAkL5IJ7W8CQ6Ze96LWph62BTaW5gxXpT52LiB28fM86Cua33+o9a01dxTl3Fzxrg8j88ZV3gnEeKNkk4e/i6w5SwZF9OFqcS4oQ+k5tjpAyYPri/5WAygJ2PQEdnKI6KGsSmSRKWeqG5E5nlf6KbY0ZbvtPTXJ7mMijG1Vuf37kYAr5aYz5MBHJaXy0MDjr0RwEsBXCOfH3LW/yUR/REMMeFCAF8c8RoeycxPcJY/QURfq3Ng3XpCf05EH4YJXhGA32BmfXP+2oq6Wu98fSJ6NYCPwPw+vpuZbx33eQICAgJWC0YWyxqpnYrfOyL6Jdn+DgAfhmHG3QngOICXDzpWmr4GwA1E9AoA9wD4STnmViK6AYa80AfwqlGYcYKbiegpzPx5ACCiJwP4bJ0Da1G0yYgy/SyA85n5d4jobACnM/Oob8+x4dJLvof/5VOfsFn2U6IWkIgSsg1Qp/1CZnpz3x1mXy27fYeJ2Vn1gvYUktOMpptSsJWosCgFvzXzXgPw8w//K/rbjWKCnk+1yZT4oBTxRJQZ7l8EdqnH844vmH2mhd59JG+ZROcYYsGRud22vPJBNjPNZbEMziBjbSwLDft+yTA/faZpqauNgzLjlD7obFM19+xMtZnpdOnMXVWLv33QjPUFIr43e9hQfpV6vrjz0dh3XAunmbFQercqO3/3sGS/CyX88HJiZ+5q1ahWmH7v9bqVxNDjjByhBd18iq6qKh+3+5GldSvBwSdRtLpHc+cBgIMSuJ/xCiD6KuudVLzVROhG+ZLWWk7cL7Tmu3i0rwAwJ5p4vuWjheR0rGaixBa+033VitH1R8XC3NJV1YVZS4tX2nokxQH7U8a6VotcCQzcbGemoig8xKLiQIvm+VvafSmAzKLdGvfQjc2z2vqX682+T3oBAOCO42aMLrzzw2b9RSbGfnz2dHTkO61kha6oUWgZcU3HSCQdI21OYUm09TqiMn5MFDu2b5oZmaL9xEsu4f/3qc/U2nfbGM53IoOIbgPwSJiXHQCcDeA2ACkAZubHVx1b1x33Z9LYswD8DoCjAD4A4Emr7HNAQEDASY/AhrK4YrUH1n0JPZmZLyGimwGAmQ8SUWvYQesJpghps4OWPBUpGSsmlsRQmyDaPY5YNM1svOj4IQBAQ+vgbDVWztJXPw0AaF/6bDurV4qvUrTTWcNsVKvA1tJZeBixWC3JFjMzg8xAG+Lv1jiTzkzPbC/hniUzu9t0sbmnD4oFceb5Zh+lP6ulgmN9NCON28hplkTnSyytKdXCi0xfDyz2cca0WDybTBypJyx1LY+u13NMZu06Ge8mjFS+egek9PLt+40//3jPWApzUgp6asa0cd7xh2HsLOBQzyZtAwA6h00MbKppxlxrOXUaUaFEtpaeVmsHEutaFutmSzvCYTl+QS5Ij1XLSGM2Sxq4QoRemq85ozGm00WTrKVabvIMNe6/FVt2GV20wz0z9mo1adc0vqQzfqP0bCwBvYdKR94mj+FRKXX97YPGwrtoq7m+I93UWkN6rJa/jiXl4MCSOfa8eSkvvnTUqov3O5vNlUaqwJ7vx1aJkcbLR9Hom2tUr0D8gIkR4fSLTBtiGR3ebDwDs71DWZxIfk60dlQiCvANqX001TBWVtrooCNegfQpPybHGgjbH3Shmd/uFV27nemyjUMttcx3RA9qapz2iIlRRpIki+YS2kIFV8tt2rNcRwJXJ06famDm76722LovoZ5k5jIAENEOGMsoICAg4JTFiag4c7Kh7rTgbQA+COA0InozgM8A+C9r1quAgICAExwMMxOv8xdQjbrsuPcS0ZcB/CAMO+5FzHzbmvZshSBm+cvcLEDm6iJxTTT332UppUouoLbI34t7LtljtNgap4ve3PzpiO75uml1q3E19b5hApLTz/y3Zt8D+WB8euwoqGdcG01RPejtfKRpQ+iu2o/m/m9LlxvYLu4xdR89dNy4EY5IUFddUueK26WXMOYWJVh8ND8r6++QAnniirigKaSGpcNYhnFpLPbzXxEtcaBEhK3iE7vzoAmwnz7TsDRnLRy3c8a42DTgrm4enSR2p7ehIV/FzeIiPNo2ge5UXCend8R1qTR5Iqv3psXy+kn++h5eVHl+2P40PNq2Xke7Z+7B0VSJKma/Q0t9dJrqqtNPc+wDx/pyfYbCvGnJuHvSLWfhQGL6q9n6qoGm7h6l3StxIWXGcSmhcM9h84ycNS/EFy3LIM/DY3aYMWkfNwH+mak57G805BrlOT5i1AiOz5pn+FGRlAk5oiSB2Lp7VYXDasYJwUJLIHQ/8ffmkOf/Cpr7jPstEap+PGdca7AlHkwKxGxqtN1AEY5Nm0T8mUUzPsrRb6jLWnT6lBzQvOvz4C3GNXyfFCrcd8x8V7ZMmT49PGWu67iM678uE8Q7iS0dyl2Xqovg/MvhIhUtSCCju6fs8fBHRBLeMCNj4EuIiLY6i/tgRO/stjq6QAEBAQEbEczBHTcODLOEvoxMGuJsAAfl/80wVLzz1rJzq0HkkQ6UUh0vmFla91tfQuOJzzL7qEr2PrFE5swx8byZ/aU7TWCVFg+DNpsZoM4IuWsCwpHMYrH/XjlGqNynnW1JCukhQxTAd00SLM43bMVUi6iJtdaNWphWOjBMX9Ta0AJkOz3V5p5zbWpVqDVmKbl3ftksP+5ZdntHrLOmqCbruOmsUmnCSg545LyZsR7uOyQML0FXLSE9RpNJAUBY3GiJBaQWw3JsLLKGUsEP3J0dM2cSdY9JEqKSKWyipgTa94lFlDBjiyRXbm2JVhwMkWSxIZpxcv8unBIF88aStUyPzl2U69t9R6UoIGnVNnPs3bQdc9JfpZz7lOkjUqRNadg7phuZ6rME6M+WPjb2mVLhD59mnot5sYD2iLV6VrKMnUtiVdC8XIe5zqmeeV5oj9G65LMNYYIpAsmzb9WsZbyaD5vicr3tjwCQJUAzEViV5FMtt34ugCy9II0b0mdJa9iyGzM90zernq0pEELMUUuo+ZC5zmTXY9FtmvsxJQSbc+bzz/uCjN82sYxiyqxbtT6VeKEWs6ZjKJKUbVowC3knGjkdJo9gCI2OgTEhZj6Pmc+HSYR6ATNvZ+ZtMLWEQkG7gICAUxrM9f4CqlGXmPAkZv6wLjDzPwB4xtp0KSAgIODEB8N4DOr8BVSjLkV7PxH9JwD/B2bsfw6m0uqJByUmaJ0PcR8km0zwtPWoJyFVM/6oKeSmygjQgmeiGWfbQqapxk3J9H6EcZ30pa30XFPoUF0gWDyC/mEp/HW68VrSBSb3Yblt2lJtOX1G0z4jbRrXiXqyZluqn5bKsjnfIQnYthuE3g5xqyweMv0XN5/mJTXPkOuRjPLeaRchlsC2BsWh+U0eVAFAZyvzUQ8suS82J0q2Ntm4reK2CXyr+4mRuei0Pc316Wp5C3GBdTebvrYpRUuC+7si0fo7nHe1aj7Kzob0o5/1SXNjGseMq7KjwXEpwBfJveH77wDk/swevS83FvM2j0vKFgiR5bSE7fgf4kwFAACaS0YlYLvk3qQd4z6Lji2iu9mQTs7t3yftSskQcX3Nd41bUN3EZwoZITr0gNU31Dw1C3n+eNejzLI+s3EjI8lE+dysVIos2uVnGHJNxOy4sU0+UOOQUec6cpopBzJ7xLidu2c90Ww/cDeg5Tfk069ZoXlxCqbIEmwU6oazeouxauBl6hXNWIgNWn6EzJioKzfxfuxTdvT/OP8cjwtJeL+MjLr35CUAdsDQtD8o/79krToVEBAQcDIguONGR12K9gEAr13jvowOTrOZoVooU5sBALFYCdxsZ2WID5kZqc48rbWjtG6lckvw3p4DAG+RdUoUEL2sg7Nmtjtz6/vROOsC6YOZDS+3zAz0mARdNZCvs74kzSygtsz6WqJAnEgwW49Ri2iufwQsQfcjU8baU4r0jIzBZi3SJ9nwlHTtNdlib1My6/e+MVrYLSEJ7EYNa23Eh+/Pj48UL1O9tKUoUzDf1MoHnNVK0utJlALMGf1bt3Vk9p+qBt9hY8VxXHx8tZS6lodO/sWELpu7hDAiQfh02nxGUzP2WdFy66kWFLzDSCPG55hgv6pCT/WPIZ4SpWi16MQ6PBgb4kVHqM2bbzH056TXQ+MJQhwRa1lngP3TLpTOy7Mlz5+Ob/czH0T7MYZ+zOcYHTa1ZrQ4YHPe9LmbZNp5LFJ3ft01tejIWgeZtpxa0frsd09/NABgWujQD04Z7YsdYikl87syi9jTRNSy8ssf+wszbk//UelQhC1SoE5Lqavyw4x0tic6e25pdVUnSPU7p1aObJesBvuj33Cm2FY/T5S+xwFGph4SsHoMtISI6E3DGqizT0BAQMCGQ00rKFhCgzHMEvoFIpFiLgfB1K9409h6FBAQEHCSIGjHjY5hL6F3Apirsc/EwUTgKLaZ3jaXRE14GyDO+BTcMCa/ussUkeTQWNdE9xiWRTa+c9S4SFIJiivokHERQdxx0dxm4JFPBZCVUuiJe0kz/62igOOWa4o/ri8ZDk0JFG86JqoI6m4Uyf20M48jkmuhroGpRpT71OuwJQ+ilnWzIc4X/VP1ASUQqHtO3SKU9DN3kgij2vHzSmS0pjr2Ou3p/Kpv6o7zpouHlxNbYmFBXIFKtJiVQmcNJ6cIMG407ZPmh+FRxn3Vu9/smxyUnJZtRvmCd55n91W3HNri7jnTuPBY3E1aFmIhmsayjrl0uyd+sWaUD6gvPP75AIDNe29GKs+eKmeoK1T7bF274jKKxKXYftxT0VfB1L7maIkrzSN86POz3E/tWDd1gNTdJ25TvyAekLnh7LKItmruzzYhkJDkUCFu2ecqknw1lnwdddN1nvHjZqzEPUfLC7ZdivXeNnLHRp4PkTkbW/+Z9FEoEugg9YtcjgBGsHLGgYEvIWb+7bU6MRG9BcALAHQBfBvAy5n5kGx7A4BXwMgOv4aZP7JW/QgICAhYLfzJU8DKUZeivRb4KIA3SGXA3wfwBgCvJ6KLYVx8j4EpPfsxIrpoWOU/YjZZ3jqb1RLJMuvT+GEyvyubESrdVWfwqjCggXw7pYrQXpZZ/9xpsm+S+0x2mSJzWmq4edElSPpCF9YgvPepiMXqYc6sJdU866USjJdgcmY9yUy8z3ZG2KqwNrT4V2TVFqoJCLq6apbJFIHEguxvO1dWynjKLNPO8LWMBjIrYzYy+/ZIlAYkLNn3isF1E7aSKI0oH7q0x4qOmbXMjh8ExIplvT+ia9e4QGpqHRVq9iZjHabTW6zShJ2FS+mBRMgaWgbeFlPjtrWA+jZ73yyrYoJWDFANwHRmq7V4dHyWpBx6ZzpPjCC5BiVIpFvPtRaQQm8Pecupc//8QL5+F3wLwZZAj7KfA0s2sFaTEFOEeq7WddQ9ZskF9vnqGgtOLZ+otyRtmTaj4wfBUr5e1Ryg+0gXrIagUwrddhNFK8nd7l6fb+2pEsQ4oHlCAaNh3LT52mDmf2Jmtf0/D9iSM1cCuJ6Zl5n5OzDlbC8vayMgICBgYmDDaK3zF1CNSVpCLn4ewF/J/7tgXkqKPbKuACK6CsBVALB7925jBXnJqoWZTxQDkgRpdbJkFqYaV+oX1xkrLR+zcQ+ryi2zRvYsiMaiSTjs7XwkujJjV93epuxjlZaVXutMBdQC6duYjFmfJPkYgKvbllkM5daLwnWzx16/ffizy6wRp7NKd/UsFZKZsE1ejOLsOBnbWEwHYaIXrsvtox/v0Bm30pRJYhLcnrEJmlpiWstVa2IrJGFUZ/hIeoDGCaSPuq/ef9bnQJ6tCFqeLrOAFIX7c9w8D8ncTlDPtBN/5yaz74XfDyCjd8diiTW8sepSA41IY2f58+mini+LSbkWAec/vJvqlv9Wi9XeOy+OpMmydmziln1GNPVBv1d2PNVCthT0VmYJKR1d75fEhlKh98fW+mFb7j3yrRt7lVS4Ps4GSD7Hp6IdLKHxoJYlREQXEdHHiegWWX68KCgMO+5jRHRLyd+Vzj5vBNAH8F5dVdJU6Z1m5muZ+TJmvmzH9u11LiUgICBgTGAkXO8voBp1LaF3Avg1AP8TAJj560T0lwB+b9BBzPzsQduJ6KUwYqg/yJkm+h4Au53dzgJwf81+BgQEBKwLgiU0HtR9CU0z8xcpb8aPlHpMRFcAeD2AZzDzcWfTjQD+koj+CIaYcCGAL9ZvuMK4c5UUlLQgEv1K1VY3krqXlLjAccsG3bNAtIyF57bSLHFaPIyWuPCU3kriW1C3WeJoqwGGoq3EBPbcOr6nTd0UCeddWG57/gzM6sARFdxsVltLXV2cd+E0HNF6dcnoSGsgPetA5t4xi2ku6A1kpIWWuGPU1aLux04jGwuFlkVoRh5tXNyejfacdc3Z80imvy2rIVR9fQYiIQMAjmqEGOMkrjzr2hXKdKs1bansJPt2veeiaZkC8qxxCsTGFRTNbZVjpY+UudAAoC/agqpkkCRs3XB6T3W8LPXdIyZEtmcZqtxw9vrjZtF9rdeu99Rzd3fjNlqqP6jnUYKHVSlRqr6QaWZ3oGdVDeTahaCgagttq28n50+6iMRtqaQcPdY+B145jQhObkDFNY8Cl0gUsHqsRMD0AshPEhH9BIC9I577TwC0AXxUfkQ/z8y/xMy3EtENAL4J86J71TBmXEBAQMAkEFxto6PuS+hVAK4F8Cgiug/Ad2CUtFcNZn7EgG1vBvDmFbVHBCYaOtNhIhuctGrM0WxunzjNJ+gBsDM3hVoKurqhyYkwVtXMzDZEi2ZWZ0uLqwUhlFb1QJK1PoqB5ux85lMn2FkyHxcCZrFnzfjbiYrEA5/2qhM8O6NXu4fTTHlbLR1NOKywQolTUFdpxzO2HSCziNSa0cTdZlQkaRTyXNX6kA0aPAeAdNbECLkngXSxcm0iqBY/jFuWdKKWgrVG9f5IkLzflOTmtEhI0HHqeUm+alVT97h9nrhtPltL5vnoT7kFjLMfNlWaTji7/6oz2PeSsbOCgtlzAc/CsgncSkopsE5QeQ91X1vEUcg8vXYLLd8d4FsfSjmXexItH0VLxkKJI+pBgFhCjYNGeTvZdIZ0IEUsnotESnQrWUcoFJl3wuuzi7Q05Lw6GHfc2Jo7ZVFXwPQuAM8mohkAETMfXdtuBQQEBJzg4GwiFLB6DHwJEdF/qFgPAGDmP1qDPgUEBASc8GCEgnXjwDBLSKODjwTwJBjSAGDkdj69Vp1aFVhcE74JXpIXUPXc6AOlelaa6U1pH9Q0bh11U/nuGD9zvs9AS3MtVI9LA7Oe9pU7m7J5Ef5lyGfZ+X33m8InGVjCQu58+X30GHUvJZ7fjqLYZt5bF4r2UYL/mgMCJy+EvDHIlk37y8jfp27CaHm3Tvvd9YLa6gIzhAUNVkuOlgT5Y7kX8cJDpi0t/EdR4ZnxCSPaRx02Zi4G+eVTx3NRSBQNIULExx62uTca3Lc5TU3znKlbs6E5Odo2ZZ3JlCVQisTx26qj1qoOeLlhVW46s5AnIOh34ch1/xUAMPeyNwIAZqgHVsUEcXHCy7NLRO0jUWIBmlZJYlkYFm3NLRL3m1WXkGdKc/kAoDWzI3et2mv/GSbmgvutatxWA0b27AWsHrW044jonwBcom44Kd/w/jXvXUBAQMCJiuCOGwvqEhPOhhEaVXQBnDv23owCygfc7eqy2KvSm3UGp1RY2W5niqol15qxytct4eZaq6nQtloQQCIKDDqL1NldS9W7ZZbcaGT6aTqT1j5ZurCcqGFpqMOhVoxaDO7YaP99ZYaKvODBM0glBKRCbVdCh9Xt46xwnKMnB2Rj3BCSiM6MF/vsFPvLX7P2VffV9f2IMvq7vXazrSfkgqYoJvRKrE94RIe+9wPjMqHIsYpcaF90dV8IHVGjZS2gtJUvbqfWmWoWqoXZlMJuC93U3i99/tjra5rPGAA7VgB5igm+TqB7c63Wmvb7pg+ZDY9+GgBg9hd+BwDQle0t7lttPZsGYVW0H84Phj0d2Xunlv3R5USuzxzb2WSsaavM4JCEWqL2lTaU3u95AIRMS0kPqVhfhWseAwwxYe1fQkS0FUZR5lwAdwP4KWY+WLLfFQDeCiPS8i5mvmbY8VVi0UT0ZgD/FsAWZs4zt8aMutpxfwHgi0T0JiL6zwC+AOA9a9etgICAgBMfCdf7GxFXA/g4M18I4OOynAMRxQD+FMBzAVwM4CUiBl15vCcWfQWAP5N2AOD/Yp00O+uy495MRP8A4Ptl1cuZ+ea169bKQcwgzpL6qmY+7ozexmZkZtVU2qhsV0smXl4ASQltPUbP48eC3ORS62sXX79qkllVZo2hNFQnK+tcwZft++2d66yajVmyLuev163VYv3qlJ/92xm2WoVq+fUWbV0f3wz0dcUsOM2sIoFahZoorBaFsJKRMOcUoYGifp4dI70nqXsMSuHTuvsp28Rgex2c39cHc0aRpnwXrIWlp9fy343OPEhjhHoeLbOt1qFX3pvENG83yFLo7bOZ5q1EhyxkzhcRYrIPiftReA4qdQIB9B8wVGl6Ul4WizRuFjVAqdDdvUTh5e0X5s7X7Wf2uyb3as0rLUm/JPe4axO7Zcwoo6dbGj/pd0/Xq7icpEQ02mhqkrLq152cKtpXAnim/H8dgE/CJPq7uBzAncJkBhFdL8d9c8DxV0LEogF8h4hULPpzzPx5aWctrieHWi8hIjobwH4AH3TXMfM9a9WxgICAgBMazEjXJya0k5n3mlPyXiI6rWSfXQDudZb3AHjykONri0WvJerGhP4embt5CsB5AG6HMeMCAgICTjmskB23nYhucpavZeZrdYGIPgbg9JLj3liz/TKTZVjnVnPM2FHXHfc4d5mILgHwi2vSo1WCQUhBBZeDwnVB+Ra0EhRi0RFrKMVUXEa9+V2IPDeczaaXNnx3CIgcDStZJe1awoK4YSJHFl+P8ftPHrkgFyS3Y5C/9siSJIrkg2xf8+lTztXNk1HChboNZPTdrHPSbN6dZAPWvSVbjtwWSbN6fVIoLprL9bUVkaU56z3tWddn3r2kfeymbIkIEefdVX6RPl3fism6d3QMsnh93v2j9zZFtZvXz9rXvi0ljJYQDuJE3JUybqnQk/U5UPfcjIxnszll+6vuyqbWYeT8PS6DpXXLsg5Fpn8n653fpAWRCNn0w78gFyLKFlLUjkXloc+MhpbU8J4LPxVhmrKx0O9E37kPQDbWS54aQuT02z4PqhIhnt5WwQfLtuhkvHTErBlzee8VyPbsZ+bLKtsaIPZMRA8S0RlixZwBYF/JboOEn6uOPyHEoldV1I6ZvwKTNxQQEBBwaoKBNOVafyPiRgAvlf9fCuBDJft8CcCFRHQeEbVgCAc3Djn+RgAvJqI2EZ2HlYpFjwl1Y0KuckIE4BIAD61Jj1YJQoo4WbYByKjCogCqZ609LS4mM9OkqTpnWcC76wfH1TLyyzxzRo21ZZXVwlKrSiwwq9+W9GzKZiQkCdWsqwqSD3q++6LgHHuBaS45zqpyexZ6W6YpVp+t0c4STXUmH6sWntcBCVRT1MiufdGoWrMUL1PraV7Kos+2zNgv9dOsLLq1ROS6POq5zqRaEWWWRz8/K5+RyoFq3bQc00//t1ah0uPzcX17oxKH7lT1LM22olzficgGzltKG5bzWEtFgvC+qnYzTWyw3SfG+HDHyFdit/voPwUSSmYh6wz/IExfN2sTVkFd+0zopTq2+Tmtn4yty40o63+WAGw+O7Fee5Fo4a/T+5JRtPPPBYiQNswz2OwrGSifIjAKjCU0tuYG4RoANxDRKwDcA+AnAYCIzoShYj+PmftE9GoAH4GhaL+bmW8ddPwgsWgi+gMAPwNgmoj2yHnetBYXVzcmNOf834eJEX1g/N0JCAgIOHmwHuw4Zn4YwA+WrL8fwPOc5Q8D+HDd42VbqVg0M/86gF9ffa/ro+5L6JvMnFNIIKKfRFBNCAgIOEXBzBktPGDVqPsSegOKL5yydRMHOcQAoOgmKYM/mVEXih+QBjJT3yoNyHr1/rgBb3UfaBG2jrjYIgnukrgOu+KGaVJkXVzqvtLcpb66LeR82XVxpijgXYcN3Hu5JK4ratlTTvCDu+rWijSvg3s2uKskCl/DS9Fjzdfo2HVNUQmI9nzTtHG+idWqK7R99AFzfVObsaSlNsRlp67KKhckEaEnPwq+O8z+VHhF4cw1592VuXIIzpXpGDUckoMOlyWMeC5EbZuZHTWNzJUFODlg3vUs206S3eq7oKrcQUnKdmfyWrZfEXXDKTHDua7EydcCgLQlOXSag6PuVQANzYPzNPc0Ryr2+hxHlHsGAWDJK5FpNRSjzD1ny1hI33xCid4XW4CRgUhdhOoyHnOeUJDtGR3DVLSfC2Pu7SKitzmbNmHEyqrOOV4H4C0AdjDzfllXKiUREBAQcKKAObyExoFhltD9AG4C8EIAX3bWHwXw70c9ORHtBvAcmGCZrnOlJM4E8DEiuqh2dVUtliZBedUscwueFUp0C/xZpQazl/qpnYE2vCC/f2zi0IZTb7bakyz3KdEOa6Ymm7uJrAR0T8LsDS0JLjNOLYSnPmilK/vaZS6Uzmv77sxItfsN70IKatpe0D5tdLJCdJrZX9GFMrp8T1SSYylwpqSGhs5Q5ZP6S2i3hertWTW+KsGSHDoVEx5YMAub5BjdRz/tfXJ+PBLv3mZEDrUcIed3Spx716yLqbahJBCHSKCEhyrrRSnHCeUt1yTNCAPax6lmntLcLWnUJwT4NPyybmTWiuwjY+sbh3rfADfFQC1Xzp1fv7g6elHCDkkhb53rMX3Peo8os/j1mVS1BZ8KzmIzuyra9lmtKNq3WoSX0OgYpqL9NQBfI6L3MvNYLB8P/x0m+OVSDq9EhZTEGpw/ICAgYFVgxxUesHoMc8fdwMw/BeBmouJ8l5kfv9oTE9ELAdzHzF/zKKS1pSSI6CoAVwHA7t27jY5VP58IyM08fdidlfszqDZ5tW4kEDMDmJrOAKhrElqbkqCnlpaqJet00/UX+7GlRWk+ES2xtswR07hZiHsoVdsvw+0moPo3xv9e+F+UsihZy+k3UMwEtzNUyuJUCj8p1jKane2p7a9YM/LotdXy0VLhHUdhWpMgpR2rzyf3S/XHlNa73E9x3mYzpn4SpN7jlnfxZb8heq0+VdqNmXiybIX2fAu1EVGW7KrPoheLKdSXcqjIw1IE/L4TlZzP63PqWZTu8X3PsqoyuJmR1UnyrCXfAnObzJ6N/HJLvA9lSdmK7HryMSH/O84l+0Ql9cVWjeCOGwuGueNeK5/PX03jQ6QofgPAD5UdVrKu9E6L7MW1AHDpJZeEpyEgIGDdkHJelDVgdRjmjtsr/76SmXOqrUT0+ygqufrHl0pRENHjYPTn1Ao6C8BXiOhynCBSEgEBAQHDECyh0VGXov0cFF84zy1ZVwvM/A0AVgmWiO4GcBkz7yeiGwH8JRH9EQwxoZaUBBOBo9gGIG3b4u7pO06HQvmCHBUWEIU0u9iIyAb1E9H/0sJZSnhQI991CWgJ4zjKB2pVF2tZ3H2sWeLMpXRWICMVZBn68hlnGmtWz84vPU15N08cUUFvzsrje3Rlv5wCIaOLN/RopcN7KhWZ+4ULLjvtK8cSRBaygy0HETUslV0p3pF8KkHAJxts7sROKY/cENgxyNwymautytWUuXLyQXTmIu058tq31HDZrRlllHaftMCeW5i9sQfg0JOVnJHvq3VV6v1DRoTJ+lh+ne7z4s/rLTHAUUhwkTLb+5+5TcW97Xm+9McmjqhEm9B8+mUlGiUpFn7ZjOzZ1T7pftkA+uXYx4EQExoPhsWEfhnAKwGcT0RfdzbNAfjsWnRokJREQEBAwIkC5mJV14CVY5gl9JcA/gHAf0W+mt9RZj4wrk4w87necqmUxCAQMyhNcmWAgWwGFLvPikyhq54ff/1ywkjsDFADw5pUmp/FRk5Sobbj06CbGnT1ZoPEbKer/jF+sFy7SACmGkrXRa49hbWuSq7XDxD7wWt/9uw2kRWV02N96yDb7JMWNClWv8RNSUy1M9ZG2ypuq5WkKuckpbrnG+aClS5MaYKGJFNaan5JsBrIZtqUZmp57BXe0xm9tmHLRiOzwtjqAuYtY2s1Qc9fDMLrtVY9hy4RQnfJysvny2MrXJJBU59zbcOzMnSZHeq4WhUPLpgxv2hbJ9fXQX1U6r7ejyr9RkoTNDyqdET5fRMvvaAs6bzppUv4BBamzOLy6e/jQrCERsewmNBhAIcBvAQApBhSB8AsEc2GonYBAQGnKkKy6nhQV0X7BQA0RrMPwDkAbkMoahcQEHCKghG048aBusSE3wPwFAAfY+bvIaIfgFhHJwoSAMcSsgFjDbA31YWi+TxcLOTWt26KvEtN4QZu/QCxDYT7fh6gQCxXF42e33cw5LS7PLeYbsnybeQUjiaZXnPLa0PhFoFz3Xm5fT23WVWA3+yTd3FVgVDMJfIL7anAvhIwQBESLa2hq8TdM5UYpQnVsIuc3DB1w5F3HT71xOahILJ9izy3kXXlptI7LdrmBOPtNco2kh8lErewtpGkXMgDcokOubbEU+U+A25BQiC717F9DvLHuL0rlB2R9X4uWC/N+rZz1rjUtJSH93hkRIW0bwve2fPpvqqV6D/onOWFNew46bF5t7f9noELJBmbf+SNpz5DrgsxGaAssVoES2g8qKth0RM58IiIImb+BIAnrl23AgICAk58JCnX+guoRl1L6BARzQL4NID3EtE+jEnAdFwg5LWxbEBSpliFyr9wFKm9GWqmV1VyjBzUEhWjHom6sGa3q1YVFY/RfXR2qWn3GszO6Zl5M9rIm3m7is9W0duz8Pxy1S4dtpA9782S/WMyC8KlvWZ9cLeV0aFTzzLRVnxLLxfg13GzhQptJ8y+qlkmxfOQIxnIfUH+XuoM3p15J37EXvvitWWVNDjJ+uAV+LPEGLWM7Oy9mKlvZ/DezN23BoCi6kDk3WPte8sJ8PvWbpWyhT1HBDSF2LE5OWz2pa25fSKPqJrGTatQTZ76BYnFasfGISOwVxI+6vdy1xGJCgNKvAMKn5lWRsiJ7bMo11zFU18FGECSBnfcqKj7EroSwBKMaOnPApgH8Dtr1amAgICAEx4crJxxoNZLiJmPOYvXrVFfAgICAk4apOzWfApYLYYlqx5FedyZADAzb1qTXq0Srmij7xIqK3ngu2oUVvixYjvglCDw9rV9YbbBakVUISOvbowGRZYk4ebYAMVcCy3cxRQXAty+6KO6JNzT+6OhbiO/MJmOny+CmWtf9o4rXB2JM2N0lReAoosoFYHJ1C1f4OeIqMtJ1RV0nKM45/IBXPeb5u3I+W3eEFUSBKyXTpfVLQc4BIh8yRArxKr9cPqj91ldc1b9wI/663W7eUIeMcF3m5bE/guzdBHwsO3698CMlWw7vGg+O1rLIT+uep/ArntPymcIocTNxQIy9ymiOHNb+t8J3ZfyxIU+V7uXfehql4SwFgZL2RgHrBzD8oTm1qsjAQEBAScVAjtuLKgbEzopwJzROF0ZfCAfPPe11Lh8Ap+ziAoF2uRDLRI/gz5nanhBWDtb9maDKQjs2Sj+M2774VgMxWB1/oJ8KwooEgSq4Gt7ubpfVWUM/L4SsvEvEiLKg+QRZYQBndG2tWSABLytFeKQAaxV5BMGPE1BvRcxp5kVYwPo+efDFmNTiyFq2H2Ukm3voaegYK8n6WWzfKUnq0qER1yxM33HKq0KpxdKOTjPvW+Z6r3kQkA/s8j0nFObTfWUeHkBANBvzcp1xrm+lvXBPsP22THHREoggWOZWnNX9AE1pcL7rjSRL6QHFNMLVEFBH/9+yoXnzddVHAVBO2482FAvoYCAgID1RHgJjY4N8xIimJlf7Cy7sI8KkbUU/JLCCjtjdFSOrUXg+dOtdpjO6F3qrp2Ve/qrXvzALsfNQqnsKkapzl6bVNTdKrN8TFtZY1UTQvZmk2qF+IXWzHn8g6s7X6XwrbBJqk4Mx9Kb1WrSGJ1YRH4cDhSD5H748bHECyCrxlwjigoWKqLyr4WNW7l98i0sQepZDI2okVlpvpaaZ5YWqNMOxd2/136cxI3dFS3jcqtT0YyooALekbFoLuwDAPTnTstdQkwlXgIPdr1XJND9v0rJ3EXkFaxUy1XvJTwLrOFY7dZyHX6a2gjJquPBhnkJBQQEBKwnmIuTm4CVI7yEAgICAlYFLmXdBqwMG+glZNxslW4mxyOQuZbMR8M7JlNQKLYTlbgUgGKgleJmRk1VYoK65Syl2Lhy3PITvrtF4QdYrYuFE+uCGsYysC6ciKzb0PZFXRx6PfJf0w9up1ypsqB72uJsJV9QXadF2SwV3eqByfWnPkUj0zrTPvlU9NSh8Q6TCLNuxojQlPGLPAJJwyGMmPazRrVsga/MUOWSYqLMzVdB1bdtlzzEPslAn5hCgL/kIfDJH2XtA4airYoC6tZOIkMYSGY7ueZj5zmtGmr/LHq/YhS/p6rP51Ps8w3mtxVIKN5+HDcr0wbGBZ/kEbBy1NWOWxMQ0a8Q0e1EdCsR/YGz/g1EdKds++FJ9jEgICCgFGwmS3X+AqoxMUtIlLivBPB4Zl6WWkUgoosBvBimTMSZAD5GRBcNra5KxjqpmuHrzN4NJNpgrga8NXDrBYHLJo422VH3cZIf9TyalMgyr8ze+LLep26buWiub4qqCR1HcSE46s90fYuhn7Kdyfqz/0JSYkWhurI++WWVXQ0+v4++tZQpi2e05Krvrq/+7JbH9kklvgVZdv4lyRBWokrDo2pHXmA9Zc4V0jP/6L1G6XmZYYv0DYN/vxoRFXTZ4I2x3reoglThXo9d9sa3zyUrdV/5LLOm4grrvaq4ontuq1hvtfby7gfXS+Bvqyb+yPcX5UnD4wI7XQhYPSZpCf0ygGuYeRkAmHmfrL8SwPXMvMzM3wFwJ4DLJ9THgICAgEowc62/gGpM8iV0EYDvJ6IvENGniOhJsn4XgHud/fbIuoCAgIATB8xI+mmtv1FARFuJ6KNEdId8bqnY7woJYdxJRFfXOb4s9EFE00T090T0LQmVXDPSBQzBmrrjiOhjAE4v2fRGOfcWmGJ5TwJwAxGdj3Iqf+lUgoiuAnAVAOzevTuXpV7Q9JJWc9L9AptL4rUfu64Ue06vYzY4X3RJ+Hppvmug4Mojqu0/tjkrJc+3DQAX8kSK6Nv+56uXqeNI3S4afnZzcwoF7yrIEylzps+mfawom5G5yfLuG/e67LJqr9kx4Mo8pKwN7Wvm9vNdTOzdd32W1HWZKwfgPV+xaq/VLPgHFDXlfP2+JOXMRTiM3OD4h3xlDtV2G0aiAHw9ubL29Vkufp+y8fQOlc+UOXN1e7lydl9Pmy/n9/JdbFqnxbpGS56BNfCbGXfculg5VwP4ODNfIy+XqwG83t2BiGIAfwrgOTAT9y8R0Y3M/M2q46tCH9LkHzLzJ4ioBeDjRPRcZv6Htbi4NbWEmPnZzPzYkr8PwQzU37DBF2FyALfL+t1OM2cBuL+i/WuZ+TJmvmzH9u1reSkBAQEBebDEB2v8jYgrkVUvuA7Ai0r2uRzAncx8FzN3AVwvxw06vjT0wczHpXAppK2vwPwOrwkmSdH+WwDPAvBJefu2AOwHcCOAvySiP4J5O18I4Iu1WqTIUUvOZ86naXFmWtC88mfablExVRLwg606KZNZWFavLtMkgz8J8wqeWcuI85bAIPizz0HwvwTu7N8PpNsx0Ovy2oqpOvhehVLKsWfmZAHqPMHDhd9nRVOH2bGeKku1l7SZ6YqV91/VD3ziClBGkTbInhfdwMWO+0oNSi4o0f6zFqj0pSAsnuY119gpj+7rHfpWZ6YFSM54lVtAtn174thavFnp9vyhZRaR7ZOkKRRKqHuF8IhTxzRFcRuQ6QN6ngYXNPoLIYcVWELbiegmZ/laZr625rE7mXkvADDzXiVxeSgLYzx5yPG7AHzeOyYX+iCizQBeAOCtNfu6YkzyJfRuAO8molsAdAG8lM0v4K1EdAOAb8JUb33VUGZcQEBAwASwgpfQfma+rGrjkNBFHdQOY9Q9hogaAN4H4G3MfFfNfqwYE3sJiZn3cxXb3gzgzStqD2Rmi2r5DJjx1H1u3P18cm3kx3N8DbnuMUBUg9UnX0ho1cmtUsLBoMSrRyNgTxMt68fw6yijmhe01dL8LLbMelIUTmkTTc2itQJ8WjGKMY2q+jtuX/0yzn5tI5c+7NK1gaK+nM703Sb1f79Muh/T86/Pha+BFvWWZIVjBus91NLVfhuiDh5rkqzM7GOi4gxex0Ap/WohOSrebhy0rI+2r87zYVMEvNNpuymXlCkfQOMfBt8istamjIX97rhUbS0fXpFW4KY8FGJBY6RqMzOSsoz21bX17KptRPQgEZ0hVswZAPaV7DYojFF1/LDQx7UA7mDmP17Z1awME01WDQgICDiZwWm9vxFxI4CXyv8vBfChkn2+BOBCIjpPyAQvluMGHX8jgBcTUZuIzoMT+iCi3wMwD+BXR+79EISXUEBAQMAqwLxuignXAHgOEd0Bw367BgCI6Ewi+rDpC/cBvBrARwDcBuAGZr510PGyXUMf/wgJfRDRWTBuwIsBfIWIvkpEvzDqRVRh42jHUd6FU0VLNtZ/0SUDoEjvtcoJ1aWSu7J+Scxy1TXr0QzEo4A4ym+bJROE7UbGLdO0gVZCKm4J33XiP8ix60JRjwbnSzGnnhumDP4mdaX4LjBVE2g3IixL3kPmppJPDS53zWe0dCTrj2itRYuHAQDJ1rPlmr2CcuKCYsROaYp83+xnSSkOv9SGwqc9u7Dtyz9KJ4888oR7bMFdRdqWuDWFFJDbRz7VPaaU71SK2/nuP70HZbcvC/5nz6jbSUJkL8y6Kyt+CyPHTeyXjLBnGeDm9hUTqrTpVsISs7TyOmaE75ZziQlUT6VitVgPijYzPwzgB0vW3w/gec7yhwF8uO7xsq0Q+mDmPSh/7NYEG+clFBAQELCe4HXLE9rQ2DAvIWI2wdgK7Sn2ZmuAW2I635bOSJtxNqs+LhmROkvWmeixXv7gvlhEjZgwJfLcbjsA0IOxgHQGqcmRtmgXstlx5M10ydnHrKBCsH9YAS9iLiQURo28Z7YqMTRJGR2bxasUYy8xWKyZdGZbtp+QFLg94/XFHJsKiUOTZ1vLR5B0NpmFND/DttaGJXhkV1p1LxVxyT331/U9i8Rvu5twMfjunbdAeXf6qYm/lvJZou3n9r1OSepBv4V+X31LpaywnC3G51jpQPaDoeSANG4WxrioNyiWco30g+zZ9SjabpHICnKBTx+nNY82jCUH6JTHhnkJBQQEBKwnmIE0FLUbGeElFBAQELBKhDINo2PjvIQ4RdQ9li36gU3JzYhKtK6sd0mWm+KaUlObYQLyQOYq0c/ZllnvF39zUchud7PonY8kbhf2VXJBnIgbLvLKQDgqETZHaYiLoDST3FtuePs0CgoAKGS12/a97eYCZJu43YqZ8RKsl9377U0FTTe9H03uSx/N3ktp5u4plrVAKQblstg8IS/1P+fCtH0qb88uO65RX4/Nz2HKzp8nSNSBmyulyx5XodIN5y5HXp+WbSFBs6xDomMfJT2wkGkU+v2qdAeX5KtVQl1sbokKz+Xu68uRUzzS5qhVaNSNiqCQPTo2zksoICAgYB3BzIGYMAZsqJcQR41C4TD2inwRZbP8qkmMzlRjLmb6t2Jv1l9B1V0NDMXatwzEGhNLzrd6/P/roEz7rC5q6XHVmW1W6HuVzZJdixQAumTuhaWGR0XK/TBdO0sSYC5qCHptKHJEFm+jT5Lwi+r100zhO1MZL6eg+/uZfYvEGqCoUdd3NmufbNqAXx7du4blhC0VX+Fb+FoWvaFEFle1W/tvr6d88PPWdDkVPGss+z77z5m1gIT+Hx972Czbwn8puDktnREPQrNT2qfVIrjjRseGegkFBAQErCfYr+oasGKEl1BAQEDAKsCcIu13J92Nkx4b5yVEURb0HrTbAFeAb+77rryyfQb53yrdZBWBVTfA7xa6K22ixC23Goxb2t7FSl19PsryV4As4O0rKjBzoYxAlaut7LoTzy3mQ9uKqViuwJIApF11W2mu2IPH+9jSNi4hVdnQ9jTvSttUl5i6z1pxlvGSbYO0n++H6wLziwJq35b6eXKNuvRaMRVypchLgJqOZb24wDhuOWU48n2oJORwOtRla0k2lliQZK52h3gAANQ9blZ7OWiIW2DJt/MFcscCBjgJltCo2DgvoYCAgIB1BQd33BhwSr+ECpbPCDP3VVkUJRTncRAFCqdZI2unrDz5OOEHzqtECtRySbia1mzVB0ra0HU+Vd9vSts+3kutRaK7LIp1odaGbyntmm3aY9RS8Mto+JhCZiH5pTYUel5tS60qdxz0fL7Sha1PQs76yDyL7Up6uBAvSkor2LQIS1DwzVCHlu8Xdsy1nhUSjHW/pGslJkjKZHAsfRCygVVHiR3K+Jgp2TlweAmNA6f0SyggICBgFISX0OiY2EuIiJ4I4B0AOjAVVF/JzFrL4g0AXgEz93kNM39kXOflsgJh2qcRZvQritEMmJ2N0zpbC5T1Z5Q++sPlKjH7MQs/ZlNIsI38CEa2j5+A7Fojfjs2HuJdlxoS8+3YWh5KnZ7SytJu3AMOjThNAC0IZ69DE539TntpAETDkzoHwMbOZNnqv6lunxbCQ9Ei96+nALeMvW23/BmOjx00K5odG6spTUZFZk2phiIajiq5agoOwVrGOwGh9wdiwsiYpCX0BwB+m5n/gYieJ8vPJKKLYQoyPQbAmQA+RkQXhRLfAQEBJxYYabCERsYki9oxAJ3SzCMrK3slgOuZeZmZvwPgTgCXT6B/AQEBAdWQmFCdv4BqTNIS+lUAHyGiP4R5GX6vrN8F4PPOfntkXQFEdBWAqwBg9+7dY3NdjeISWw11etAxa+1SGIb1dge6cv9KQ9Yu+MQBX9nAjaVX9drP4i8jMvglHGyb1jWVZLM3e3u8+ZxPOilzwVJRdaBsmRBVKwv4TbpjoK5HeK5B7zy2hAhFjuZi1Qm861gB3Zqn5s0nRcVrH+LSM8cNHoOyR3UtyTOMEBMaB9b0JUREHwNwesmmN8JU+vv3zPwBIvopAH8O4Nko//0o/UYw87UArgWASy69NOhnBAQErB+YQ57QGLCmLyFmfnbVNiJ6D4DXyuL7AbxL/t8DYLez61nIXHWVIOZas6eqdcPaXumxKznHpK0dYHIEiKrTEmUK5YtiEim54FgvP6P36dIufOVqhXu9dVXH7TEDSkbXtiDqbvPatTP7qkTQtEiD9q0yn1KdtZGpThfIBp4KdZ3kT+otmk+pc8+NTtY155ym3xXt5/qH3D42QXgFnoRxf9eCJTQ6JhkTuh/AM+T/ZwG4Q/6/EcCLiahNROcBuBDAFyfQv4CAgIBqiGxPnb+AakwyJvTvALyViBoAliCxHWa+lYhuAPBNGOr2qwIzLiAg4ESDiQmFyqqjYmIvIWb+DIBLK7a9GcCbx3GeQSSDKtO8EAB1cotOBNfZqYYpL5FG3XQK11Wlt6fg5lNOQUlwu+/d0thzeZUFwKsC3YPcmqspNqjnr+qLbdv+45TIELehfXbVLVaiiTgMZa47syGtdM2pliO7OT7efmVuN223ujO+9mL1rgWMVTsuKCaMA0ExISAgIGCVCC+h0XHKvYTqWDKnorWzEa6ZXPUDy+MePGsmigoacexpn0V+IJ9XQMW3Jaf7hcKEZf0vXS/ntP+77XqlrVGDEl6m2l62XHYsKo7N9WEY3P2qzrmWmm/jAodk1XHglHsJBQQEBIwDzIy0F0gHoyK8hAI2NlYxo15VXakh51craEXH1ml3Bde3kn2HnTcAQCjlMBaEl1BAQEDAKhFeQqMjvIQCAgICVoPAjhsLiDdAQBoAiOgogNsn3Q8P2wHsn3QnSnAi9iv0qR5Cn+pjUL/OYeYdozRORP8o56iD/cx8xSjn26jYSC+hm5j5skn3w8WJ2CfgxOxX6FM9hD7Vx4nar4A8QpQxICAgIGBiCC+hgICAgICJYSO9hK6ddAdKcCL2CTgx+xX6VA+hT/VxovYrwMGGiQkFBAQEBJx82EiWUEBAQEDASYbwEgoICAgImBg2xEuIiK4gotuJ6E4iunqC/bibiL5BRF8loptk3VYi+igR3SGfW9a4D+8mon1EdIuzrrIPRPQGGbfbieiH17FPbyKi+2SsvkpEz1vnPu0mok8Q0W1EdCsRvVbWT2ysBvRp0mPVIaIvEtHXpF+/LesnOVZVfZroWAWsAsx8Uv8BiAF8G8D5AFoAvgbg4gn15W4A2711fwDgavn/agC/v8Z9eDqASwDcMqwPAC6W8WoDOE/GMV6nPr0JwOtK9l2vPp0B4BL5fw7Av8q5JzZWA/o06bEiALPyfxPAFwA8ZcJjVdWniY5V+Fv530awhC4HcCcz38XMXQDXA7hywn1ycSWA6+T/6wC8aC1PxsyfBnCgZh+uBHA9My8z83cA3AkznuvRpyqsV5/2MvNX5P+jAG4DsAsTHKsBfarCeo0VM/OCLDbljzHZsarqUxXWZawCVo6N8BLaBeBeZ3kPBn9x1xIM4J+I6MtEdJWs28nMewHzIwPgtAn0q6oPkx67VxPR18Vdp66cde8TEZ0L4HtgZtMnxFh5fQImPFZEFBPRVwHsA/BRZp74WFX0CThBnquAetgIL6GyCmGT4p1/HzNfAuC5AF5FRE+fUD/qYpJj93YAFwB4IoC9AP7bJPpERLMAPgDgV5n5yKBdS9atSb9K+jTxsWLmhJmfCOAsAJcT0WMH7L4u/aro08THKmBl2AgvoT0AdjvLZwG4fxIdYeb75XMfgA/CmPsPEtEZACCf+ybQtao+TGzsmPlB+RFJAbwTmWtk3fpERE2YH/v3MvPfyOqJjlVZn06EsVIw8yEAnwRwBU6Q58rt04k0VgH1sBFeQl8CcCERnUdELQAvBnDjeneCiGaIaE7/B/BDAG6RvrxUdnspgA+td98G9OFGAC8mojYRnQfgQgBfXI8O6Y+X4Edhxmrd+kREBODPAdzGzH/kbJrYWFX16QQYqx1EtFn+nwLwbADfwmTHqrRPkx6rgFVg0syIcfwBeB4Mk+jbAN44oT6cD8O++RqAW7UfALYB+DiAO+Rz6xr3430wbogezOzvFYP6AOCNMm63A3juOvbpLwB8A8DXYX4gzljnPj0Nxh3zdQBflb/nTXKsBvRp0mP1eAA3y/lvAfBbw57tdRirqj5NdKzC38r/gmxPQEBAQMDEsBHccQEBAQEBJynCSyggICAgYGIIL6GAgICAgIkhvIQCAgICAiaG8BIKCAgICJgYwksoICAgIGBiCC+hUwhEtDB8rxW3+UKS8hlE9CIiungVbXySiC5b4f63E9ELS7adS07JiI0OIvoN5/8pKV/QJaLtk+xXQEBdhJdQwEhg5huZ+RpZfBGMZP564GeZeU2VMYgoXsv2xwT7EmLmRTZaakGOJuCkQXgJnYIgg7cQ0S1kivD9tKx/plgZf01E3yKi94qUDIjoebLuM0T0NiL6O1n/MiL6EyL6XgAvBPAWmY1f4Fo4RLSdiO6W/6eI6HpROv4rAFNO336IiD5HRF8hoveLmOew67mUTHGzzwF4lbM+luv8kpzrF2V9RER/RqYY2t8R0YeJ6Cdk291E9FtE9BkAP1nVHznnp8gopn/E0VB7DRF9U853/YA+z5BRef4SEd1MRFfK+nOJ6J/lfF+RcQURnUFEn5axvYWIvp+IrgGg1s97a938gIATDZOWbAh/6/cHYEE+fxzAR2EKAu4EcA9MQbVnAjgMI+4YAfgcjJRMB0YG/zw5/n0A/k7+fxmAP5H//zeAn3DO90kAl8n/2wHcLf//BwDvlv8fD6AP4DLZ59MAZmTb6yFyLN512HZl+esAniH/vwVSPA/AVQD+k/zfBnATTEGznwDwYbnG0wEc1H7DFCb8dafPhf7A1K75FwA7ZP1PO9dzP4C2/L95wL34LwB+TveDkZ2aATANoCP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+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_month.pr[-1]-ds_gra_year.pr[-1]).plot()  # Just checking there are NOT same"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9583dfb-285f-4bab-8bb7-bea6243af270",
+   "metadata": {},
+   "source": [
+    "### 2.4 Season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "c478328f-63fd-4a5a-a323-bd3f54c8db24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_season = ds.temporal.group_average(\"pr\", freq=\"season\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "544c53e0-a676-431a-8a72-84b542ed2874",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(25, 90, 144)"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "bdf17235-d9eb-450e-b14d-8a11655a9b2e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 90, bnds: 2, lon: 144, time: 25)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon       (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "  * time      (time) datetime64[ns] 2000-01-01 2000-04-01 ... 2006-01-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -88.0 -88.0 -86.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 0.0 2.5 2.5 5.0 ... 355.0 357.5 357.5 360.0\n",
+       "    pr        (time, lat, lon) float32 1.85e-06 1.85e-06 ... 1.717e-06 1.717e-06\n",
+       "Attributes: (12/27)\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            6\n",
+       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bd6993ee-3bdc-4d60-a21c-37d0be61371c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd6993ee-3bdc-4d60-a21c-37d0be61371c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>time</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-26b94ad4-bbbe-4e67-9f48-700cfa36fe41' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26b94ad4-bbbe-4e67-9f48-700cfa36fe41' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-9c205dec-ecd2-4ea2-b476-37658ab5e1ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c205dec-ecd2-4ea2-b476-37658ab5e1ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cba6c7b-93f7-4e93-a864-9ec68fcd736b' class='xr-var-data-in' type='checkbox'><label for='data-0cba6c7b-93f7-4e93-a864-9ec68fcd736b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-c2e459ce-30cb-4ca2-af81-9e5ffa65ba84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2e459ce-30cb-4ca2-af81-9e5ffa65ba84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d2d36e5-dc34-4f4d-b67e-1cf27e8d1b68' class='xr-var-data-in' type='checkbox'><label for='data-6d2d36e5-dc34-4f4d-b67e-1cf27e8d1b68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2006-01-01</div><input id='attrs-c8b6037a-17d8-40e1-a74a-44b570fdc3bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8b6037a-17d8-40e1-a74a-44b570fdc3bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f342d705-d5b8-4db2-8c4c-31a8a163eaad' class='xr-var-data-in' type='checkbox'><label for='data-f342d705-d5b8-4db2-8c4c-31a8a163eaad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2001-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2002-01-01T00:00:00.000000000&#x27;, &#x27;2002-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2006-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7d02d5a3-d169-41c5-b1a5-c7d5bfaa8b72' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d02d5a3-d169-41c5-b1a5-c7d5bfaa8b72' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-649b16ed-12f6-4b74-87d2-e00c83a38751' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-649b16ed-12f6-4b74-87d2-e00c83a38751' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-630ec6dd-eb65-4379-a674-6e8001830ae5' class='xr-var-data-in' type='checkbox'><label for='data-630ec6dd-eb65-4379-a674-6e8001830ae5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [-88., -86.],\n",
+       "       [-86., -84.],\n",
+       "       [-84., -82.],\n",
+       "       [-82., -80.],\n",
+       "       [-80., -78.],\n",
+       "       [-78., -76.],\n",
+       "       [-76., -74.],\n",
+       "       [-74., -72.],\n",
+       "       [-72., -70.],\n",
+       "       [-70., -68.],\n",
+       "       [-68., -66.],\n",
+       "       [-66., -64.],\n",
+       "       [-64., -62.],\n",
+       "       [-62., -60.],\n",
+       "       [-60., -58.],\n",
+       "       [-58., -56.],\n",
+       "       [-56., -54.],\n",
+       "       [-54., -52.],\n",
+       "       [-52., -50.],\n",
+       "       [-50., -48.],\n",
+       "       [-48., -46.],\n",
+       "       [-46., -44.],\n",
+       "       [-44., -42.],\n",
+       "       [-42., -40.],\n",
+       "       [-40., -38.],\n",
+       "       [-38., -36.],\n",
+       "       [-36., -34.],\n",
+       "       [-34., -32.],\n",
+       "       [-32., -30.],\n",
+       "       [-30., -28.],\n",
+       "       [-28., -26.],\n",
+       "       [-26., -24.],\n",
+       "       [-24., -22.],\n",
+       "       [-22., -20.],\n",
+       "       [-20., -18.],\n",
+       "       [-18., -16.],\n",
+       "       [-16., -14.],\n",
+       "       [-14., -12.],\n",
+       "       [-12., -10.],\n",
+       "       [-10.,  -8.],\n",
+       "       [ -8.,  -6.],\n",
+       "       [ -6.,  -4.],\n",
+       "       [ -4.,  -2.],\n",
+       "       [ -2.,   0.],\n",
+       "       [  0.,   2.],\n",
+       "       [  2.,   4.],\n",
+       "       [  4.,   6.],\n",
+       "       [  6.,   8.],\n",
+       "       [  8.,  10.],\n",
+       "       [ 10.,  12.],\n",
+       "       [ 12.,  14.],\n",
+       "       [ 14.,  16.],\n",
+       "       [ 16.,  18.],\n",
+       "       [ 18.,  20.],\n",
+       "       [ 20.,  22.],\n",
+       "       [ 22.,  24.],\n",
+       "       [ 24.,  26.],\n",
+       "       [ 26.,  28.],\n",
+       "       [ 28.,  30.],\n",
+       "       [ 30.,  32.],\n",
+       "       [ 32.,  34.],\n",
+       "       [ 34.,  36.],\n",
+       "       [ 36.,  38.],\n",
+       "       [ 38.,  40.],\n",
+       "       [ 40.,  42.],\n",
+       "       [ 42.,  44.],\n",
+       "       [ 44.,  46.],\n",
+       "       [ 46.,  48.],\n",
+       "       [ 48.,  50.],\n",
+       "       [ 50.,  52.],\n",
+       "       [ 52.,  54.],\n",
+       "       [ 54.,  56.],\n",
+       "       [ 56.,  58.],\n",
+       "       [ 58.,  60.],\n",
+       "       [ 60.,  62.],\n",
+       "       [ 62.,  64.],\n",
+       "       [ 64.,  66.],\n",
+       "       [ 66.,  68.],\n",
+       "       [ 68.,  70.],\n",
+       "       [ 70.,  72.],\n",
+       "       [ 72.,  74.],\n",
+       "       [ 74.,  76.],\n",
+       "       [ 76.,  78.],\n",
+       "       [ 78.,  80.],\n",
+       "       [ 80.,  82.],\n",
+       "       [ 82.,  84.],\n",
+       "       [ 84.,  86.],\n",
+       "       [ 86.,  88.],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05c2bc14-dc9b-46bc-b21c-398a72edfb93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05c2bc14-dc9b-46bc-b21c-398a72edfb93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0c6096d-c720-4aa2-804f-52841d1c6924' class='xr-var-data-in' type='checkbox'><label for='data-c0c6096d-c720-4aa2-804f-52841d1c6924' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [  2.5,   5. ],\n",
+       "       [  5. ,   7.5],\n",
+       "       ...,\n",
+       "       [352.5, 355. ],\n",
+       "       [355. , 357.5],\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.85e-06 1.85e-06 ... 1.717e-06</div><input id='attrs-1b43c9c0-7750-416b-b41f-a3a878f6f58f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b43c9c0-7750-416b-b41f-a3a878f6f58f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2a4c2a1-d4ba-494e-b97c-5e2064ba802f' class='xr-var-data-in' type='checkbox'><label for='data-d2a4c2a1-d4ba-494e-b97c-5e2064ba802f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[1.85024521e-06, 1.85024521e-06, 1.85024521e-06, ...,\n",
+       "         1.85024521e-06, 1.85024521e-06, 1.85024521e-06],\n",
+       "        [3.82354438e-06, 4.01808393e-06, 4.29359443e-06, ...,\n",
+       "         3.98480233e-06, 3.97140184e-06, 3.84026225e-06],\n",
+       "        [3.92451784e-06, 3.52330380e-06, 3.25742144e-06, ...,\n",
+       "         6.36785580e-06, 5.46364527e-06, 4.58668228e-06],\n",
+       "        ...,\n",
+       "        [5.91683465e-06, 6.39784776e-06, 6.72323858e-06, ...,\n",
+       "         4.77793765e-06, 5.19164723e-06, 5.63094409e-06],\n",
+       "        [4.80026210e-06, 4.66889378e-06, 4.61527225e-06, ...,\n",
+       "         4.16468538e-06, 4.42129340e-06, 4.67891005e-06],\n",
+       "        [2.27408441e-06, 2.27408441e-06, 2.27408441e-06, ...,\n",
+       "         2.27408441e-06, 2.27408441e-06, 2.27408441e-06]],\n",
+       "\n",
+       "       [[6.25496568e-07, 6.25496568e-07, 6.25496568e-07, ...,\n",
+       "         6.25496568e-07, 6.25496568e-07, 6.25496568e-07],\n",
+       "        [9.92164246e-07, 1.08661379e-06, 1.16988303e-06, ...,\n",
+       "         9.44357055e-07, 9.32133673e-07, 9.13008307e-07],\n",
+       "        [2.15364707e-06, 1.94613631e-06, 1.72529326e-06, ...,\n",
+       "         2.83860118e-06, 2.57158308e-06, 2.40329064e-06],\n",
+       "...\n",
+       "        [8.19568686e-06, 8.07490051e-06, 7.89476326e-06, ...,\n",
+       "         8.70716030e-06, 7.91202092e-06, 8.42508507e-06],\n",
+       "        [8.83597386e-06, 8.54288101e-06, 9.20794901e-06, ...,\n",
+       "         8.06326352e-06, 8.34923594e-06, 8.22033508e-06],\n",
+       "        [3.98521115e-06, 3.98521115e-06, 3.98521115e-06, ...,\n",
+       "         3.98521115e-06, 3.98521115e-06, 3.98521115e-06]],\n",
+       "\n",
+       "       [[1.71692784e-06, 1.71692784e-06, 1.71692784e-06, ...,\n",
+       "         1.71692784e-06, 1.71692784e-06, 1.71692784e-06],\n",
+       "        [2.48149354e-06, 2.49271670e-06, 2.59565104e-06, ...,\n",
+       "         3.18132788e-06, 3.08520771e-06, 2.79807864e-06],\n",
+       "        [3.58099533e-06, 2.88810679e-06, 2.56785393e-06, ...,\n",
+       "         6.46176886e-06, 5.41026702e-06, 4.49872368e-06],\n",
+       "        ...,\n",
+       "        [4.22426046e-06, 4.27413124e-06, 4.01923899e-06, ...,\n",
+       "         4.92412073e-06, 4.33966716e-06, 4.64226696e-06],\n",
+       "        [4.15941031e-06, 3.56836631e-06, 4.04928915e-06, ...,\n",
+       "         3.49455149e-06, 3.53633231e-06, 3.67595089e-06],\n",
+       "        [1.71728595e-06, 1.71728595e-06, 1.71728595e-06, ...,\n",
+       "         1.71728595e-06, 1.71728595e-06, 1.71728595e-06]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb30d447-f9dc-4eab-962e-a4f1abfdf715' class='xr-section-summary-in' type='checkbox'  ><label for='section-fb30d447-f9dc-4eab-962e-a4f1abfdf715' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>2510.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>b31006b5-e988-4b70-8908-858a18cfa2bb</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2013-04-18T19:18:11Z</dd><dt><span>history :</span></dt><dd>2013-04-18T19:18:11Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table day (27 April 2011) 86d1558d99b6ed1e7a886ab3fd717b58</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>6</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 90, bnds: 2, lon: 144, time: 25)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon       (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "  * time      (time) datetime64[ns] 2000-01-01 2000-04-01 ... 2006-01-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    pr        (time, lat, lon) float32 1.85e-06 1.85e-06 ... 1.717e-06 1.717e-06\n",
+       "Attributes: (12/27)\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            6\n",
+       "    cmor_version:           2.5.7"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "e6f45b58-4a2b-4142-9d4c-49bf2525cb67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "season_config_dict = {\"dec_mode\": \"DJF\", \"drop_incomplete_djf\": True}\n",
+    "ds_gra_season2 = ds.temporal.group_average(\"pr\", freq=\"season\", season_config=season_config_dict)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "1eca45d6-04a4-40c5-9d52-0c0adaebfb59",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(25, 90, 144)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season2.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "466297d4-4276-4a2e-b17c-c6d158624f52",
+   "metadata": {},
+   "outputs": [
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+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:   (lat: 90, lon: 144, bnds: 2, time: 25)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon       (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "  * time      (time) datetime64[ns] 2000-01-01 2000-04-01 ... 2006-01-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 -90.0 -88.0 -88.0 -86.0 ... 88.0 88.0 90.0\n",
+       "    lon_bnds  (lon, bnds) float64 0.0 2.5 2.5 5.0 ... 355.0 357.5 357.5 360.0\n",
+       "    pr        (time, lat, lon) float32 1.858e-06 1.858e-06 ... 1.727e-06\n",
+       "Attributes: (12/27)\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            6\n",
+       "    cmor_version:           2.5.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ae65f343-00b6-45a6-9856-c0ebc7065cfc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ae65f343-00b6-45a6-9856-c0ebc7065cfc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-469566b7-0665-4b13-ab38-880287f05cec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-469566b7-0665-4b13-ab38-880287f05cec' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-4f5e60fa-2137-4778-b07b-a1582abed5dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f5e60fa-2137-4778-b07b-a1582abed5dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1dd80c0-918c-4051-a70d-9ef624a04485' class='xr-var-data-in' type='checkbox'><label for='data-f1dd80c0-918c-4051-a70d-9ef624a04485' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-1f97234b-b349-48d7-b564-4723bde3aa55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f97234b-b349-48d7-b564-4723bde3aa55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13c19b0b-50f7-4a51-b1e6-142c05efaea5' class='xr-var-data-in' type='checkbox'><label for='data-13c19b0b-50f7-4a51-b1e6-142c05efaea5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2006-01-01</div><input id='attrs-92f32822-77ab-4ecc-847f-c9ec3b71a7ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92f32822-77ab-4ecc-847f-c9ec3b71a7ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13952536-439d-46c5-a8ca-960056b86ec7' class='xr-var-data-in' type='checkbox'><label for='data-13952536-439d-46c5-a8ca-960056b86ec7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2001-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2002-01-01T00:00:00.000000000&#x27;, &#x27;2002-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2006-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e228e0da-2589-43be-b9dd-838f463e20c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e228e0da-2589-43be-b9dd-838f463e20c9' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-795218e9-e0c2-4e7e-ba40-0184ed642a34' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-795218e9-e0c2-4e7e-ba40-0184ed642a34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5180e42-5e63-49bf-95f0-c088d229bd64' class='xr-var-data-in' type='checkbox'><label for='data-d5180e42-5e63-49bf-95f0-c088d229bd64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90., -88.],\n",
+       "       [-88., -86.],\n",
+       "       [-86., -84.],\n",
+       "       [-84., -82.],\n",
+       "       [-82., -80.],\n",
+       "       [-80., -78.],\n",
+       "       [-78., -76.],\n",
+       "       [-76., -74.],\n",
+       "       [-74., -72.],\n",
+       "       [-72., -70.],\n",
+       "       [-70., -68.],\n",
+       "       [-68., -66.],\n",
+       "       [-66., -64.],\n",
+       "       [-64., -62.],\n",
+       "       [-62., -60.],\n",
+       "       [-60., -58.],\n",
+       "       [-58., -56.],\n",
+       "       [-56., -54.],\n",
+       "       [-54., -52.],\n",
+       "       [-52., -50.],\n",
+       "       [-50., -48.],\n",
+       "       [-48., -46.],\n",
+       "       [-46., -44.],\n",
+       "       [-44., -42.],\n",
+       "       [-42., -40.],\n",
+       "       [-40., -38.],\n",
+       "       [-38., -36.],\n",
+       "       [-36., -34.],\n",
+       "       [-34., -32.],\n",
+       "       [-32., -30.],\n",
+       "       [-30., -28.],\n",
+       "       [-28., -26.],\n",
+       "       [-26., -24.],\n",
+       "       [-24., -22.],\n",
+       "       [-22., -20.],\n",
+       "       [-20., -18.],\n",
+       "       [-18., -16.],\n",
+       "       [-16., -14.],\n",
+       "       [-14., -12.],\n",
+       "       [-12., -10.],\n",
+       "       [-10.,  -8.],\n",
+       "       [ -8.,  -6.],\n",
+       "       [ -6.,  -4.],\n",
+       "       [ -4.,  -2.],\n",
+       "       [ -2.,   0.],\n",
+       "       [  0.,   2.],\n",
+       "       [  2.,   4.],\n",
+       "       [  4.,   6.],\n",
+       "       [  6.,   8.],\n",
+       "       [  8.,  10.],\n",
+       "       [ 10.,  12.],\n",
+       "       [ 12.,  14.],\n",
+       "       [ 14.,  16.],\n",
+       "       [ 16.,  18.],\n",
+       "       [ 18.,  20.],\n",
+       "       [ 20.,  22.],\n",
+       "       [ 22.,  24.],\n",
+       "       [ 24.,  26.],\n",
+       "       [ 26.,  28.],\n",
+       "       [ 28.,  30.],\n",
+       "       [ 30.,  32.],\n",
+       "       [ 32.,  34.],\n",
+       "       [ 34.,  36.],\n",
+       "       [ 36.,  38.],\n",
+       "       [ 38.,  40.],\n",
+       "       [ 40.,  42.],\n",
+       "       [ 42.,  44.],\n",
+       "       [ 44.,  46.],\n",
+       "       [ 46.,  48.],\n",
+       "       [ 48.,  50.],\n",
+       "       [ 50.,  52.],\n",
+       "       [ 52.,  54.],\n",
+       "       [ 54.,  56.],\n",
+       "       [ 56.,  58.],\n",
+       "       [ 58.,  60.],\n",
+       "       [ 60.,  62.],\n",
+       "       [ 62.,  64.],\n",
+       "       [ 64.,  66.],\n",
+       "       [ 66.,  68.],\n",
+       "       [ 68.,  70.],\n",
+       "       [ 70.,  72.],\n",
+       "       [ 72.,  74.],\n",
+       "       [ 74.,  76.],\n",
+       "       [ 76.,  78.],\n",
+       "       [ 78.,  80.],\n",
+       "       [ 80.,  82.],\n",
+       "       [ 82.,  84.],\n",
+       "       [ 84.,  86.],\n",
+       "       [ 86.,  88.],\n",
+       "       [ 88.,  90.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a852283-6364-495a-a67d-c4ce423f4a93' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a852283-6364-495a-a67d-c4ce423f4a93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e3357c6-3041-40d3-adc9-cc51d785ca3f' class='xr-var-data-in' type='checkbox'><label for='data-8e3357c6-3041-40d3-adc9-cc51d785ca3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[  0. ,   2.5],\n",
+       "       [  2.5,   5. ],\n",
+       "       [  5. ,   7.5],\n",
+       "       ...,\n",
+       "       [352.5, 355. ],\n",
+       "       [355. , 357.5],\n",
+       "       [357.5, 360. ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.858e-06 1.858e-06 ... 1.727e-06</div><input id='attrs-563df73a-ebfd-4e4c-9baf-15a21a99f901' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-563df73a-ebfd-4e4c-9baf-15a21a99f901' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36517a8c-4b3b-49f0-be30-e85fe77b1d59' class='xr-var-data-in' type='checkbox'><label for='data-36517a8c-4b3b-49f0-be30-e85fe77b1d59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[1.85782085e-06, 1.85782085e-06, 1.85782085e-06, ...,\n",
+       "         1.85782085e-06, 1.85782085e-06, 1.85782085e-06],\n",
+       "        [3.90562809e-06, 4.10877146e-06, 4.38704319e-06, ...,\n",
+       "         4.08387768e-06, 4.05812307e-06, 3.91609319e-06],\n",
+       "        [4.00014915e-06, 3.58552256e-06, 3.27698103e-06, ...,\n",
+       "         6.53582902e-06, 5.60391254e-06, 4.70410941e-06],\n",
+       "        ...,\n",
+       "        [5.86005581e-06, 6.34318803e-06, 6.63115270e-06, ...,\n",
+       "         4.72195234e-06, 5.16692262e-06, 5.60470062e-06],\n",
+       "        [4.86819090e-06, 4.74157059e-06, 4.69330507e-06, ...,\n",
+       "         4.20752485e-06, 4.47287994e-06, 4.73876071e-06],\n",
+       "        [2.28055683e-06, 2.28055683e-06, 2.28055683e-06, ...,\n",
+       "         2.28055683e-06, 2.28055683e-06, 2.28055683e-06]],\n",
+       "\n",
+       "       [[6.25496568e-07, 6.25496568e-07, 6.25496568e-07, ...,\n",
+       "         6.25496568e-07, 6.25496568e-07, 6.25496568e-07],\n",
+       "        [9.92164246e-07, 1.08661379e-06, 1.16988303e-06, ...,\n",
+       "         9.44357055e-07, 9.32133673e-07, 9.13008307e-07],\n",
+       "        [2.15364707e-06, 1.94613631e-06, 1.72529326e-06, ...,\n",
+       "         2.83860118e-06, 2.57158308e-06, 2.40329064e-06],\n",
+       "...\n",
+       "        [8.19568686e-06, 8.07490051e-06, 7.89476326e-06, ...,\n",
+       "         8.70716030e-06, 7.91202092e-06, 8.42508507e-06],\n",
+       "        [8.83597386e-06, 8.54288101e-06, 9.20794901e-06, ...,\n",
+       "         8.06326352e-06, 8.34923594e-06, 8.22033508e-06],\n",
+       "        [3.98521115e-06, 3.98521115e-06, 3.98521115e-06, ...,\n",
+       "         3.98521115e-06, 3.98521115e-06, 3.98521115e-06]],\n",
+       "\n",
+       "       [[1.76386936e-06, 1.76386936e-06, 1.76386936e-06, ...,\n",
+       "         1.76386936e-06, 1.76386936e-06, 1.76386936e-06],\n",
+       "        [2.54761221e-06, 2.55307577e-06, 2.66065717e-06, ...,\n",
+       "         3.26458780e-06, 3.17934064e-06, 2.87691614e-06],\n",
+       "        [3.55880343e-06, 2.86119666e-06, 2.57539432e-06, ...,\n",
+       "         6.59468060e-06, 5.47082482e-06, 4.48443461e-06],\n",
+       "        ...,\n",
+       "        [4.29979082e-06, 4.35621087e-06, 4.09257018e-06, ...,\n",
+       "         5.02069042e-06, 4.42678356e-06, 4.73544742e-06],\n",
+       "        [4.25597273e-06, 3.64473749e-06, 4.13947737e-06, ...,\n",
+       "         3.56632381e-06, 3.61003845e-06, 3.74898741e-06],\n",
+       "        [1.72714215e-06, 1.72714215e-06, 1.72714215e-06, ...,\n",
+       "         1.72714215e-06, 1.72714215e-06, 1.72714215e-06]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba8f22de-0f84-4aa6-a483-6b5eb399e90b' class='xr-section-summary-in' type='checkbox'  ><label for='section-ba8f22de-0f84-4aa6-a483-6b5eb399e90b' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>NASA/GISS (Goddard Institute for Space Studies) New York, NY</dd><dt><span>institute_id :</span></dt><dd>NASA-GISS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H</dd><dt><span>model_id :</span></dt><dd>GISS-E2-H</dd><dt><span>forcing :</span></dt><dd>GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC on snow - Nitrate aerosols)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>2510.0</dd><dt><span>contact :</span></dt><dd>Kenneth Lo (cdkkl@giss.nasa.gov)</dd><dt><span>references :</span></dt><dd>http://data.giss.nasa.gov/modelE/ar5</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>b31006b5-e988-4b70-8908-858a18cfa2bb</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2013-04-18T19:18:11Z</dd><dt><span>history :</span></dt><dd>2013-04-18T19:18:11Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table day (27 April 2011) 86d1558d99b6ed1e7a886ab3fd717b58</dd><dt><span>title :</span></dt><dd>GISS-E2-H model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>6</dd><dt><span>cmor_version :</span></dt><dd>2.5.7</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:   (lat: 90, lon: 144, bnds: 2, time: 25)\n",
+       "Coordinates:\n",
+       "  * lat       (lat) float64 -89.0 -87.0 -85.0 -83.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon       (lon) float64 1.25 3.75 6.25 8.75 ... 351.2 353.8 356.2 358.8\n",
+       "  * time      (time) datetime64[ns] 2000-01-01 2000-04-01 ... 2006-01-01\n",
+       "Dimensions without coordinates: bnds\n",
+       "Data variables:\n",
+       "    lat_bnds  (lat, bnds) float64 ...\n",
+       "    lon_bnds  (lon, bnds) float64 ...\n",
+       "    pr        (time, lat, lon) float32 1.858e-06 1.858e-06 ... 1.727e-06\n",
+       "Attributes: (12/27)\n",
+       "    institution:            NASA/GISS (Goddard Institute for Space Studies) N...\n",
+       "    institute_id:           NASA-GISS\n",
+       "    experiment_id:          historical\n",
+       "    source:                 GISS-E2-H-Eh135f9f Atmosphere: GISS-E2; Ocean: H\n",
+       "    model_id:               GISS-E2-H\n",
+       "    forcing:                GHG, LU, Sl, Vl, BC, OC, SA, Oz (also includes BC...\n",
+       "    ...                     ...\n",
+       "    table_id:               Table day (27 April 2011) 86d1558d99b6ed1e7a886ab...\n",
+       "    title:                  GISS-E2-H model output prepared for CMIP5 historical\n",
+       "    parent_experiment:      pre-industrial control\n",
+       "    modeling_realm:         atmos\n",
+       "    realization:            6\n",
+       "    cmor_version:           2.5.7"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_season2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "a696b1c5-5a02-4e2e-80aa-66ba4f2f7a50",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x164524880>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Auzbq5tJ306SeMPnfTOpdu2ESjxIAioOFEBAQEBBAAAULYX2CANSRIpo9Igs6Gijedrq810cBAHONaYyksi6aOSzrxrfJe1M10aYEk7kuWgq15zPLQDWXUhtJr1KUgWKDk65CF62KhHlJuWd9NUtPmy1UpFZZBhUtFAuVyjYnWpncLV2yIEcX+JaQSxOmGBiZlnH96mYb36wyy1jNBStTvYb2vWOaexeLy58XlyaZpt7x1eKpNbM58MbztddeleYlZtslWBGVjLY5/qhS06MKEHNmYXnXoyp4SpSzJmxfbxsbw26DRmcOdbXG23d8GwAwf+Bu2SYRWcee+iIAQGt6LwA5RltPY2QR/1qWVOL/TocCouAyCggICAjQSuX6conA1xc20QOBCz5Sp/WrZdDO6S3UnpM91CJwI5iv2hqKz4kfOh2dzvzXTiPztC87dj7tz6lzRT+vWRdUL2rutSjztftcTLnTFNkWUczmM792a/zuxvA0zm5wGq3OaWXaq50vRQM3h49y2nJqlkdN3uOTBwFk8aDYeP5zhVd2nVz6qh6gpnEhttNzWishYm0l6Z+zS2etFb4Pch5V1w2oTumsjMX0UEKrUjEpinPj9rEMchasWXu+Vu9ScXV8mzNKU3So+Ddi1lh2L8u74zg6fj/u+KN3AAD2vegnAACNM88HAMzecgMAoP2dqwEAo3W5bvNb97tznGsXLcUZ/b51RGXPzVc7kv3tyg77Dy+4jAICAgICAKIQVA4ICAgI0MzGYCGsVxA4qiGZlPbLtYe+ByALDKMpAcqYMhdAMrFT1lnQ1Rq6qEsnGZV90riOyNJLzbxmS+X0fS7lAJ5LL7WqXLVfffdQFacSUC6oLbkkcvADgt1Q5YZYDMdP320KVNbdXVC9Kj0d95POS6KNXqLWrHxvTsh3uzYAqCNBRJvktGbuJHVxwHPf5VyJNo65WFKVOdZtk9w5RO766zX1qpt9vqo8HMdPpxjw7EXRXVWp3isN2U8PrlyeSxiIKqPgsnyhI3MxEts+UenmTDwX0ay6dIzrqDG+Hft/+7/JYY5KenjnwXsBAHOHxE17/PtfBQBM33sXAKA2NoKRndJEbOQJl8o2kN/2RMPcXCppLtW0rsdMqn8KSwcBNMw81nWANbd3iGgLEX2UiL6jTaafSETbiOgzRHSbvm9dazkDAgICiiBEcTTQa6NgPVgIfwLg35j5JUTUADAG4LcBfI6Z305EbwbwZgBv6jVICmA+JcgQwOiWM2SFBX91u07KiLXZuPGb1PQp7zQ2K0yzYqOUkWjgrGYN5j2LwfbpZhm4Jj2qpbQSWT5aK6oteaXMZ2t1Y3bRdEwTs/OxcWy57ZJP8Rxm29B+Y+U5hvqlyLb1HBoxlewlt01NEgUi/X6kI3M+UY9Qt+n3Gu+YDGZdOMT1LGhc0arTLIYHZuSabx+toRHreGZV6BiHZpUnS/edakR6PlGW1qr3GWlQ3J2nWrPGqeWf92LQtbBQzy9KOgWZ3T75xAv/uuj7aCqFY9SWoD11WiC1pJNYfgOmNJulOqYXZU6tiztaY9gyLmnBU1vPkm3PlgNsb2pB2gGxDKItYvFzax4PXvklGe870nt+29OfCwDonP0EAMAxvQ/sd9aMCfOd7H4CgIUhmgoUAVFj4/zZD4I1fSAQ0RSApwJ4FQAwcwtAi4guBfB03ez9AK5EnwdCQEBAwGpjI2n/g2Ctz+YcAA8B+Gsiuo6I/oqIxgHsYub7AUDfT1tLIQMCAgJKIALFg702CtbaZVQDcDGAX2PmrxPRn0DcQwOBiC4DcBkA7Nu3D0TkzNVUq1yPt8RMbaqlmHCZp8V9V7dPx60vU+ZG6nqodYSDxVUue3UIaVxHW81T9sz3yHPl2PHz1qxt47hwuk2Aja2mubm+bBwbLuNxKbuhSpW1A/IUFc5Hj0RtL6Br1aHIBXV1ftR7gDrLvCXaOMfOO0kZ9VTcEu2o2NAlcddS3QG6UydlNDpaY6L1Jz5/D5nLKNLrVGs6117s81Q52dPCcU4sJDkZ5H20prxV+uMf0feTev9NNIBRqJvRD/Kqy8Wq7EldOS4hogsGcfm5c7dECFfZbd+rf/5VbqpU3a2zbZFtdCRCbUbqQ+osAeFI+Yc62kvb5mC8LsLuHs+Oa9ewpb+B5kU/CQCI56XHfHxUqeiPPIAt5++Tz1rN3LrjJtmnIbJMn/5IAMBxlvuFkblNm5G9D+/PmQBEIag8VNwD4B5m/rp+/yjkAXGAiE4HAH1/sNvOzHw5M1/CzJds37FjVQQOCAgIACBZRnE00GujYE0tBGZ+gIjuJqKHMfOtAJ4J4GZ9vRLA2/X9E/3GisAYSRdc4MwCjzXvCd6MqZTCWdMQ4EJiFZbFYHNMmSZL88LKaJZBqT2hal2dnFlBnhpX85QKv3IVKAePs0BdcX0tolLVst1/idfsJK/1+ayW9t1vhGIjd9NITeuPtPIbVh1sx9CqYY7rLuBoQWPT3NoarM+nCsp5kqs67iTF62HNj1w1bW5OWg0JVpp1QS25Xo6ttmYV51mwOTKNWd9NO3XWngZ5p3WIVsI5K9MqqzUxwc7Li0/PdRijkZeAoGmzfhq0VdLnq6n9yuGqtNY8x5Hdm45rV88nzlXgF+bC5MqNY/dxS6+BnffxBeWMYiCpSxKgWUWWJtxQHqEdmhYKDcDHx+93Fnw8d6Rw7mj5nGFyHY9/7Uon29h5D5N9t6onWeW236BVN8+2U4xqQPuERsXH68P9cw51CMPHrwG4QjOM7gDw85B7+CNE9GoAdwF46RrKFxAQEFACRYSoEbiMhgpmvh7AJV1WPXOVRQkICAhYFIKFsF6RdBDNHsHM+C4AwAgsQKi5yWk5SGrL2upzMOJCV2lp9QmtWde4w0zdKqIzM3HjuAlzTvmpz85NozeTH/wFyo08/MBw3vFl7gQz60dqRapnVxkLq0PIkZb5zUb83r12/C73veX2G4GgBYz9ZkGgyB277hO7WfDcC2K3Ei41MDcq47a6n1rexEaUc21oIDoaKQak3Vh6f0TteSeEXTtq27WekncU55xQdkWaKOZJstWW/95KGA+lIstOUmp2o1c315s2i7GmPlljo2w+Yy8xwL9+3Vx7aVys1nauIqvQj7M58l2Fdjzn9UmL99jJVuI+z9v9p/vOK7GczYG55rgxnrEBTJ2uMqiM8zIH9Qe/K/IcOwQAGH/s40FadR5PS9DaEgfcXeDVkTRicvdD5sobYsnyJqxU3jwPhICAgIBVBGml8mbCpnkgcFzH/ORujGrwdy5VHhq9XrELRObpoGWd8Z3ULUUtkdREmpN3rjWcZdDxWiTGqrVmanjGbWPaA1taqRfALZ0Dyhqmbxmg4rss89JpveYmHTd2ZiIMYgn0hVkGHm14R3ml8lWzvkXgB1/TnAY31/ECgbqxJQG0vGTclHMpqZ71YGM4DTHKrBnHYaXaKVuw14KVLhVW3vMj+9drQrX/SKm6LdCZjm11TXti5e+JLJg7os181DKJYrnvLMWTUM1zVcVXFeUC0W6ZNdHRcX3k24laNbXd16TWjP1GLIhOlNFRxy4Jo2hVmJbeVCsgmdyVBc41DdgqyK2lplHT02nyHtVGnBWROEtjVIXRVOamWHQtzWme6zC2jYoQD2kF+baRIfr8CRuqxmAQbJoHQkBAQMCqgghRfXP9hW6asyGo9uL5/w2mnRORS0Vz6YX+WKqtpOrLTesjpWK2rLWgpS8WTccOo5QTSE5z6i5bvpDGYCNU+YznO6nz4TZrRRlqFe0de3Hj9OUl4vI6F5dRDc581K7petpxfmzfSrIUXNMiLc0x5UzrPtkSjXBa59jSXEdVk4/njsqGSQed8R06njFs6rVuz+ocGNupqbrZnBmbaqlQsItsdp3sWo7NHJDxj95bmJtkWji1kpEpNx8zU9IWcvzonTKepXt2JIYR6X1pzZeS5kRW/KcWB3nzacjfH92sSKB8/Y25NUraWaqql5pq8QfHCaXWKDMw1YwLsvgp0g75Nqy2zPibdA4iPWeLrxRidX7DIoXFlIyJ1aZkpEaOaXUlQLT5qCs2zQMhICAgYHURGuQEBAQEBACuUnkzYdM9EKzyNQtkaaArF/ByLhoNQjmTWatak8ldhTGZy6mhziVl7WitqtV6zub2z4K7RVl9iuIk5XK/XX0vpYdylv7nN5Jxgdtcr9y8jMSpM/39dM++PW96rGfXaKg4Njh1c97xXByxV33srk3ON2XbWBrjiPFJnVBGE0vbPPQD8F4JmKakNMpWea2V6yfbRV4icBb0NzeTf66Zqy1zO5bktnvG5lMDnkcjCRi35xJ4sXEcHRFunl1WJa4uMa5rUDvHBeXuK3WXOAptqwbv4Q4sB5d1LNcXWTmPohjRvLiKEuUjyrt5gHKqLxEcxbTRW1tvY1tu5213Yy0CyEsZJS+IbZXK5j5jioBYg/+6jwX9TSRb7tJcKbt29j/gswQsD+Su2WbBpnsgBAQEBKwKCKD4FKpUJqJPDjDGYWZ+1XDEWToYhBQEVp3DCodMIzRNYbRWZv1MVZ8fO3gHAGBh72MB5Hh9mEsFQa5xiFokkbMMMo3btok97dspbN6CWkQl3qFSADefOqrylIqkrPGPWQTGMWQBujTJNDLTQm1bC1pa4xdbn28EVFGUlwlZbCPayrGVmoHgFE3Pcujkgv9mUY14phXrbWuFY/ExCeTywrwLhkbjomHO6PU35T/xrh/litm6WQIAEEVltbtJWtjWKqZPpmNbAWTWzLxy/kQAEjaLB/qulk+qgWllVU1HJdXSWQVpAtaUUVc4ZkFYa9Rk18+zVLshsyC1eDPXOpbrY7pMrT07dTP2vGZPQLkIzywDd57uvOV9IWGc0AFsn0kt/GTlISJNAmC1ChA3nJx2T7b1d8teMDsPSwuv6TzN1cbLGy0RRIT4FMsyegSAX+ixngD8n+GJExAQELBxcKrFEN7KzF/otQER/d4Q5QkICAjYGKBTLMuImT/Sb4BBtlkNEHdQmz+KtCl50xbgmtYc6U4u/52uugIA0Hj0U2VndZPMnHGhbOO5NSIqV30aSlwyuQYz5C0zuLE89w9QdhX166ebD0Kbi6vmOvoWK4hd/nZUywKJakqTG0PdCM7d1C58B0UlzphMgOKPI88BZG6Zeo7bBwCsfY0frK9F5NwTNs68XlM75THn3tL3qW1I1fUwElkltLqBXBW3udrkG6eZO9BRi/sV0PpuZzcVJ4iP3CNfHhA3Y3r2RQCAGYh7bFZdRUmulNm8zX5TohmlZm5oDYW5HdvOjUYYrfil5psQFZZ34ezxExbY3ReWBJC6RkVprjYmD/JuzE7CbpmrQ7BSD89VZNczH5huOh701ASXd61DKNQcqJzmKnINqEw2O0/L90jZ7W+uxFGvYdJyQMCpGVQmovMB/BaAs/L7MPMzVkiugICAgPWNU81CyOHvAPw5gL9Elj22vpCmoIUZxFpdPNUopj6O3/ctAEDrjEeDn/oK2WXhJAAgul0attW2nw2ge+DWPicuqKYar59Kqtpqt/aRhoj6ZyZkgU75XsV/lJfXsXaaLsvFoGHeenEWgD+WBittn7Rbnqknv2/FJHp82yphYEzNrhmdCqfFWeDdSzstjMdF68KYSuMjwglEeh25Me6YO+MZYcmMR0TrZu80TPuOkL+mcMvyMtn5TcfW4OUh8H23AQDSGWMo3QYAmJ3rFMbPw1klVrGsWrFLXXUWURExlSuv+1mSeauzsurcCxy3qZalfdq++t7xqrfzlf9+KrHJX3Oyledim84lzWtLU7NWtB2mBekpZynMsQbW0+4y+vfQOLUzYSw1+Y5vlmRZMujUiyEYOsz8ZysqSUBAQMAGwimXZURE2/TjPxLRawB8HMCCrWfmw8MQgohiANcAuJeZn6/H/TCA/QDuBPDTzHyk1xhca6CzZY/7Hqsv2VIu29qA+4Hfew32vv4/AQA6W4RT5sGznwYAmFbNwpqCTzbk6b+QMGrOL2rpclawY8v1wOqDbSfsUuoc/4tLEVTrxSsg41wfAZ/vqBfHUCW3EHkcM7ZeVBvZxGO+LLVkLB+uBMfr5NpwFpd3UoaGcgr9AYAsPZi9MfJapclvXE21w+K/T+/7nmxgHEenTTiWTLMUjLfq6HzRSvNTTPPLXM2hf1xNSwZFIE0NjU47CwBwTPmWfMvAtH8iysb15vgb94mV8YidMma+CT0g95rFTwzOarJ4jsUBXA+FTHO1aBZ718XL/NU5KMrma/92fpbG240ryJTmhU5xW5vriUbkLGlYLwbz7ZuloDxViRaotZK0xCxbOq4utyjBHOrZ/TW5W7a54PTuOy8Rp5qF8E3IfWOX4Ldy6xjAOUOS43UAbgEwpd/fDOBzzPx2Inqzfn/TkI4VEBAQsHwMMYZARO8F8HwADzLzo4Yy6BLQ82yY+WxmPgfAI/SzewG4YBgCENFeAD8J4K9yiy8F8H79/H4ALxrGsQICAgKGCYqigV4D4H0Anruy0vbHoA6wrwC4eIBlS8EfA3gjgMncsl3MfD8AMPP9RHRatx2J6DIAlwHAvn37Cu4Oo8RtqMuofuBWGfj3/gIt3c4CdeT5XOyrNWgZrWUVxHNtcyuJaZ5xJMk+Tde+skiXLJDpbpqxril2LrUzivHASfm8Y0y2rTmXQ7cZ6A4XJEyL1aDdUlir0loHOZ4F7CMv7XDB84nMdxi1ih9FqfLVNc5hV6E879xL+q5uhkhbKVprRWYGLAXVmqZ4zYnMwWHnneTSg6dGZJ/j6jI0iacTpaNWtwbHDWBSgtVzO88HAMRe+1I/gJx3c/jx5oftEFeRudHsfUzdXXmOpXwbVCBLYjAOIupkVelWNZ1GxdRUPxjrN2MCyimdVn0Mb59alF1/S/U275aNZ+djTYpG0/mcMJr40ChWEFsAue0C79k633XkJ1zYvC3k3Gw+08AwQESIhkRdwcxXEdH+oQy2DPSLIewGsAfAKBFdhOwaTwHo3nZpESAiM5G+SURPX+z+zHw5gMsB4OKLHze8Kx0QEBDQDwREjYGDyjuI6Jrc98v1/2tdod/ZPAfAqwDsBfA/kT0QjgP47SEc/8kAXkhEz4P05p4iov8L4AARna7WwekAHuw/FCNlRj0VDalmbJCavjZ/urjl2rnm7WYZTDWLGoYpIxaITJqRCzRbC77RelHjtRTCVqLNXOKO4/AxTWVKg9SZsqXWhDE7MmP3hGm7skWsKZWJBtm6wW86Y9q9WQauUY1uny+8GtTy6BbUtuC10yZ1I5/Lph5lwdUZLwhp7RdtqVkFSQqcTIrrWmohNJTvhqclUJgaf8/Ejpy11f3Wzpq4ZAVwfqB7xGfIPXifjNmWe4qb40iV3dQsEJ9PKgsua6A6dx6WqmwtNOt6XjN6n/hx2oSB8diZHDIH931bzlmb0KezEpimKckDoS27nIVgVoVfcOenUgOZdddw16G7ZZCx1+YsN13ZyAXSAQkiA8DonMhKnQWwNt6xNOcZbXnra3UmRz0idx4L3vzYWTkmUw2sN+LYnZu7b4eqNi6K7fQgM18yzKOvBPpVKr+fiD4A4OXMfMWwD87MbwHwFgBQC+ENzPyzRPROAK8E8HZ9/8Swjx0QEBCwHNAmrEPoezbMnAL4pVWQJY+3A/hxIroNwI/r94CAgID1A80yGuS1UTCoA+wzRPQGSG3AjC0cVh2CjnUlgCv18yEAz1zM/pR20Jg95JpoWB76wkSxcUlMmanMFfajBYZ35lwHFpR6YEaCeGdvkfHNHWOcSZaX3YoarqK2Zkn4qQWiPWphRYfLeeALdQm21SuCYZxr1mLwG+9YLYbNSQQu8Sv1Q8FV5AWtfbfJgrrNKJf6P+oCpEWXRNtz4VgAWWoXZB/1OLgxaF6Du0YBfegH7jxJ6aitF3BNa1PsmsalQH/mzvJpdSZTcTe2b7tOxnrkk+S4ccMFQ7PzQU/EEaGh49s+o87HIe8WDD2h7kkTsRYRKG0XxrNezZ3vSOUtz8nPsnHOhbJ+bKurRjdXUeLdF6nnSlxI2M2LufZsF8cF5uYocwvatRut2zzKuwWR6yfF48ta85KMbcVs4tdGyLvfROiEckJNNuPcdSreMxn03lE9t8aJc8tF2nc7Ua6zYWFYXEZE9EEAT4fEGu4B8DvM/J6hDL4IDPpA+A/6/trcsmHWIQQEBARsLBCBoqFlGb18KAMtEwM9ELTuYF2D4zqSiR2llpCxp1inzCXNyG+Y47R0Z0kAI7UsuNULpuUlKSPVauDIZPJunl6MprbOEgb9QJpfyZxHnrMIAFLVpP256QXfyrB9OimXUhJNWzyu2pwF3vNauB9Mbnlpmi4AruvrMaGhCQLRjBqiraKl5ZqoaAooOHWVrhZQ9TmhIm/eGjG58zF5TbPlr39KjmNa4MG7ZYwtu9DR8clp34VhS4Hpdo4V1KyJsmUn79tGY7cPAEx0jiNSbiZLz5z9RynbGb9EGHvT/ZIB3mlkzXXsurClN3uV2IZ8+NulySK3EFlg2MasxeXfgzGXNuaPyPkdeQgAkEyJlW7NaZKES1XbfqKHzZFp+M0IzkqiuJh44X7PnqWHFIiPP2ADi9zNfHb7ckFArTvb7EbFoGyndQC/AkD5onElgL9g5nblTgEBAQGbGYRTq4VmDn8GUVbfrd9/Tpf16qYWEBAQsIlBjkNqs2DQB8LjmfnC3Pf/R0TfWgmBlgpiVlrnYv60H3gqB6Iy90xGeFYe38zS0yeKU+a7X8zVEkdZT+V+LhpbHXWhkmPPhLbz6kV2V4VuckStIv1wxrhXbKpj51VHilpdhLEaAss7b2jw3HefpJzJa643k8RcRhGLG8j6C9ciApMEwbkxCgCITz6k56H7zB6V7x0xVNMTR4F9j5BlFnC284zNLViUjZC5bkZbx2SbL35cz11dfk94viw3au3Dd7nx6+oJ60VPDogLLHXXrDgHJpI/hNF9x/feBl7QYPnZkso+8tLfkH3nj6usxftyvpOWZDJXin97m1xbHrwRyaSQAlgyRvP4fbqzNs7RYH2iTABx2nYBdlIZrXp6Vqu4DY5WPOe2M6mrZBqtZSSSVTMceS5S5zJNO+58fHftUEA4ZR8ICRGdy8zfAwAiOgfrtS9CQEBAwCqAFleYtiEw6APhtwB8nojugDwXzwLw8ysm1RLARPKyIFUfja0XumndfttDt21FOigxZ0HpPto8LULdzyimzfzI1vkWgP89X9EcaSW3tRZMpqTq1/h6rMFPrBpofFQ0xc6Os52mPqKUwnOuwlatiKisjTe9IKsPC8A39Y7sNq+WUgrThlVLh/Hg7NiP1DX2kfFMf6visIkjQvPovfJ5VoKhycXPLmyTjIhW3Lj/JgCqjVuws1ZtVQJZqiehbAH41mqWggu3DwB09j4G/KUPy7qTR2XhBRLOM03eDm902FGObtvSTquKdK2CeP76q9B85A/LeZm2rXTinZEtMq5xKXFOHzRrsi6WXKrzRVUHzME28bmGRlgSClosVlmNqGQFmSzuPvct01qz8vc5FJyqFgIzf46IzgPwMMg0fIeZF/rsFhAQELCJQY5YcbNgMe1+HgdpWFMDcCERgZn/ZkWkWgYWWW+1bAyUwrkMmapSRbsdt19aaWNBrIHOyBZQW7Rt87GaH9i1GvTafi5849MAgNozfxYnRtUvq5aBWQK+FVV3YYlMW7VtfBGdJqcpklF7DtCCOtdMRcHGZWTWwLiwnqb1UeQbw+SRaeOZlQQUNfuZ3dJEqdmWIi/jj3LtInc/QodInSXlrJWKOa/l/NudCmXVtGLfMrDN51DHxOn7AQBf/eXfAwD88L89o3BexojazvcKLQVMivG1Ua0crGlqZvTEF2B2y5kAyhp7lWOEKSrPud5L9udic2Vxh5woJa6kmjE+Gc+TbtdJuWRd+unVbuxFpFcvC3SKBpWVz+hcANcjix0wgHX3QAgICAhYHZyiDwQAlwC4gLt1yw4ICAg4FXEK1yHcCGA3gPtXUJZNj269k4Hepu1izN4s3a7YV9el4o5ukcXIAn+2LmpL0xKOiz7RyILKz/sVAMAcamA1813aqVWoelXALgCOcgDVBf+19zV/+SPyPi/umugJz8savNSVA2dip3fCxernwrxWxOmt14xtGScLjheorT4dUv6oyIvbW6Cd0iSj2bZlPbim7N13u/iUzOYeYecGUnmIwLvOBQCM7ZC5iE4cEJm2iawZj1RZDpfu6vEGtdXdFWvguLX1LHdhzFVU74hr0QLGftIBpUl2HTzXEVk6qs5VpGm7TOTu0div3k+tAbO6Duck0F8b3ercmdnGxeN1+62srNuIXD/vzYJBHwg7ANxMRFcDcMFkZn7hikgVEBAQsN5BBKo11lqKoWLQB8LvrqQQGwHLCVS5fVUbqrIUhgbPMugmeylIXWuiG0wrt9TF8Zs/BxoVjXJmtxRJWaGV0RX5lkJeZ20+KK1MD35YuHgWjkgDoN1vficAoNOQQG4L+WBrRcqvzxqbO5C/S8dL6XQFfnHTpYb6QUtbbtq3peAmI1NOU45U+009y6proNNLQ+7GdivLiyvqETlr6bHv/iORQa+LnZdxJ51IMplNbkvPzJraeIF11dxTZhdMdm07a6M6hgaZSf8yLMU47bj9XYtRtTxcAeGCNsYxjb7LveZ4t3QezWJNR7fqWASzsVY8WLwYnIoWAjN/odd6IvoqMz9xOCIFBAQEbAAMke10vWBYj7eRpexERPuI6PNEdAsR3UREr9Pl24joM0R0m75vHZKcAQEBAUOCZhkN8togWEwdQi8sNfuoA+A3mflaIpoE8E0i+gykj/PnmPntRPRmAG8G8KZhCJrnO1oKhsEhVKLBzgXLhulGWhTdtddExwX15qV2gW74vCx++I8Allf++xJo3vaqVwEAZs95UmFM52q57p9x67uk18f5v/gyAMD2Zz5XxjhPDMu5WPmKcu4bv67BuRVQdL0Utqk41QYX3RmFvtL6nlVYc2G5c/FZUJSRBTRtnip6OeddR35Fuv/d732c5gK8sbpS2tu1BYke3+jdbR9rutNOy82IzA1k7iWrBrY6DgA42ZJztYZCLqCusljMuklag5KrBk6iev50XDW8mxNzq1GU1XFwcR5Bxnut7sDcXLlrtoTf4IqAcGq6jFYKzHw/NHOJmU8Q0S0A9gC4FNI9CADeD6HbHsoDISAgIGAYINApm3baD8t+VhPRfgAXAfg6gF36sAAz309Ep1XscxmAywBg3759Ax1nydaBr8EsZYjuhaPZ+ijuq9VXNa7ptsy2LbFAdrGSXBMd1YbrByT4m2yRlMx7HyUJZRP1CO0/FqbNZF40wIP/8g8AgJ0vEs8hj07JoDNHZcyde3DBf34jAOHlAYDjJNtmFczQ75n27/MPsffJtyBS5iz46QWKTXvNxixbIjZPEYrprC5YmguG2njG6RMtnNAx1GJQXiRraJNM7irdQ1UcPE7D1vd6suCaAc01tgDIOJTcNbZ51J3mOqmzDKwNZUsDwQ1LblCZzUJgzrUazVUIA5m1Z1YFRxZITjKrVs/DrKXaXdfJuZ/+8MKcEeWqsc06Sq1tqDZXsuBykrVcsWY56TJ+g0MFEbDJsowGsneIaJw0RYCIzieiF2rTHMPPLUcIIpoA8DEAr2fm44Pux8yXM/MlzHzJjp07++8QEBAQMERQFA302igY1EK4CsBTNLj7OQDXAPgZAK8AAGa+cakC6IPlYwCuYOa/18UHiOh0tQ5OB/DgUscfNszPO98pak6Ok72LYm++XL/9ZuZCzm6YXqmi3b73QhXXSx7+utqRuwAAyda9AIB7OuLb3xtLwdgPFsZBr/lDAMDZM98DABzdLrz3LXVoL6hfeHYyY0GdUGIj1zLTzk+PaymRifnRu4jsp0va3rXCvBZTVW0fx0eky+1a5DVci6NYy850fJtOUtHPneb0KPtkRX/WXyL57jcBAAe/+GUAwI6nPRXxedLmMpk6XYZTi4PNqrF2nJ7Mc9RAc0wsqtjn/nFTUZyLbbUODnfk523tL0+2RP45vXcn9XzqP7hGxjjzYrC6QOyetVRiS8HtmB7o2o6Si/s0dTJc28pJsTwWtLF9ZoFRVtjmUrJr+dNwlpfrx9FZQCeu6f4o7ruIlrBDTVndhFxGgz66iJlnAfw7AP+bmX8KwAXLPTjJr/M9AG5h5j/KrfokgFfq51cC+MRyjxUQEBAwdBi5X7/XBsGgFgIR0RMhFsGrF7lvLzwZ4m76NhFdr8t+G8DbAXyEiF4N4C4ALx3CsQICAgKGCNpQf/aDYNA/9dcDeAuAjzPzTdox7fPLPTgzfwnVAelnLnf8YcK5Fcw8VtdHZopW72vuiXyzFCBzfaRsgbWkVGU8FNl7UGUbzF1xd1NcRQ11+8y1xXSf09aJabuNiZrMxexpDwMAHD4pQdeHdMzRWjHdMV+5PK+U2Za+aKtcu8gc7XLHc4+Yu6fmud7y1ceJnkfNSHmtUU6cjVs4b4oReW4LRwlecS1qOSrrjhrZSWL3hQbn9X7Z9aIXy3H2XODotM31ZI2GaESC8G2lh2534SMy3ig7V5sDn/fIWq2mtSa2eL/uybuuBgB89OmvAQBc+r5fkzHPeRQA4M5ffwX2/7vnyLKnv6qwbzcXHiD3snPlqSzHxyQRwa5XnBRTVusRZynJHg15Vp1enHuuj6DknOmT7J6/x1ekupnKacYbHYupVP4CEY3r9zsA/PpKChYQEBCwvkHroBhiuBi0H8ITIb7+CQBnEtGFAH6JmV+zksItBsS86KKzqkBTr9ROvzGKaYou0JUbyrS2xAuGxjmNFsgYKmtR5BrW95N1kAK5QVJU3bZe2ue/3nYQAPCU/VsBAN89JNwyZ003MKPa6uE5k1v2NcvBYOfXiMlphz5PT6NWNLnTXLC5EUcF2Wo6ngvS60S2cwVYs6ZJaxA79TiMap5GGiEreEq8kJoRb8ZUvH7UnkPdCqdia/Go42urUZwvPE/HJ/e5fe26O61YrYmoJQH7DjUK6y0IfGwhwXSzOLdmCViSgwV0jVm0RTWnsZtlinN+BADw0q+8V5Yf0VwNTTU+cscR7NfzGjt0u6zb/kMyngsiF8TAVJyArA3rxI7CtnCFdoK8JWFps3a/j+r1qhlDaltSmo3plgiVLL4r2iazHzZQBtEgGPRs/hjAcwAcAgBm/haAp66QTAEBAQHrHgwh8BvktVEwsAOMme+mooaZVG0bEBAQsOlBp25Q+W4iehIAJqIGJH5wy8qJtXgwUW+XSBezclBXUd4V5dMc19QsvvaAmP0X7ZbK1EOzHWf6W1DVXADGN1N2Y7Br4GKIveChwfK06ev/ADzuJ3VhscqzqnEJOC0Fye394Ky4xKZGZIyt6qqYUh/FWD3CSXXLmNxZIxfo+cnxzEVAyAKK/nlZTrzNRdafGYh1niyg6tchmKvIxmil7GQ53uoUZLH+zrbvuI4902EkabHRjyk+djzr6Gw1qU1OXUWtq03Q4HUytVu+6zXgnOyWePCQzrHNSURS63FGUzY4OCfX9vB84uSKrRRC97HgvE81Hmk1cC232Po6W43Ewt7HAgBubEjzm4vq4h48/xP/CiJxOZ2AjNO0e1i5oHz30EwbGNXPdn+76nAv2GyB/YgyV1FJfnWfJRpoj9UFFh+9p1S/0a0Cv9t3//NQcYo+EH4ZwJ9AeIbuAfBpAK9dKaECAgIC1j/olM0yOgitSl63YEaSckEzWi66aRU+46Ydbu9UsenH9EiM4+98vXz+BXk/0pCUzomGVWUWteN2mmmlViE6qlco0yZ1+a1fBABc/4734p8+/zsAgN9676sAACNPfL7IqJW2ibFZGodOFGOhY1XEsmquY9qdfH/S3qnC+bRVrsPzCZq60YKaM3uayn/0kPAfndj1SADAZPuoHK8xDgswPtCu6fFkn51jyj7qnd9YjUCJNecTbdUsk0m1Vo4ZR49ZCu3UBSdd0FhZOZXE06UAH19Q7T/HCppalTOK2uu0RmxH5kWTps6Ca1BzRIqbUYuUSbSm5+MlFGy/9xvgKdmHtgpj6YMzqnXrOZ9oawWxWmU7G9pm8ujdINW+7/+rdwEAbvy3mwAAT/7oXwAADk3JmPm2pQ2nkavGrgFaC7Q/cqdYJjgkJzF9/AfobD0TANCMilZeUy2DuVG9l3KppHYdTjsoMrVP08r1hvwmmguyr/E6zXHsrLCGrjNLizoiS+PIPTLWrVJFTXvPBbbsLWxr2nnJstevtWP3obNlj8hZqnIfEjaZhTAol9H5RPQ5IrpRvz+GiP7TyooWEBAQsI5BNPhrg2DQx9tfQgrT2gDAzDcAeNlKCRUQEBCwIXCKUleMMfPVXpZRp2rjtQABqCFFfEyItZJpqZaMZqSfq9ETd7btr85fVlO0FHBNWoDXOCa2YKIGD3eob8f2GTnxAI62lTa5Plo4jAXfdh+XXG8+ekD2Pe8pzn3hAppqHR9bMHeJ3Fz3vOvdAICzfvwx+C/vehsAYOaMC2XjO74i++4W2uHasftlTrQCN545hMM1Mf1vPSSBxl3jxSrZeauNULfDUQ1wbhuJHVnatN3oHQn8dZQQb/zIHQCAqCVBy/Zp5+GuOSNNk/M4d1oriE9KLnyqQcTjLCRuCykwonnnEyzjJw1xeUyn0od5fEL2ufOYuhlqVMrXt+MZ9bO9q8cK7TR1AVqrgairu+S8EXFZ1Q4Iid/xMy4SmSPCfSdFJqPKNpfblpFYxyjWnCx8+6toPklceWOzUqG8d0quh90PhhH9adUO3QkAOPCBP8f0ueL6mDxzFwBg/zNkm/Q+kW162345P+15nOQKBmwO/PoGu46GdHQaB7S2ZLJRrIw2Wm+7tnRczoGndiKaPSrn+N3rZeNbviHneaFkpnduuw4AcOxaIfzb/jO/gIUd58m2if6NxNarWS7MoW1SBU9PeriTg8yNWi/K7TcnipUqPJo/kTELHJf6kPb0HgwTGymldBAM+kA4SETnQh3BRPQSaGObgICAgFMTtOkK08ivHO26kXAXXQ7gSQCOAPg+gFcw8w9WVrzBcfHFj+MvffnLrnLTGrzwMdFAo0kJsHK96dLXTAOzIOj4MaF+5ntl386jnw0AA1VAW5B2RgODpy08gEg1FZqTFg9HThcN88YHZfm+adHKjUp7rp1iXLW2s0dFc4pv+6qsu0m0rpMv/C0AmaUAAPcrl9B9J0Sj3TUh1szZEyLz90+a1ifa63UPnMTxedGqbn1QtO3nPEwCnhaA3DspY1yv6bSP3CnaeSOO4ClozpqwFE+fw+iOIy33eduoyLD1oZtlZy5qxwt7pIFOXmv2x3tAtfMJPR/TdFtJxn9kqapm1VoFswWOTVZm4LhGnOd1m0edJhZd/abPAQCOnf9jAIAjaiUlzDg0KzI0lS76iM6nXdObH5R5e9Y5W2QspE77dnNRLzbTWRgv9vRonhBrNz52H1r7hDr7eKvIBTWmF8NaWlJuPv2WlvG83IcLjUlZrtudaFnleYLza0dlnsakQv1wW8bfOStBXkv57Gh6bdSed/JHD4n1wNvPLGybKodTpIHpE2O7XErt7nHRSc0ytuV3HpXK+HO2jjhZ7Xpb2rbtY5TqGWW2WmlH7nbnkZqVrhr96NjYN5n5EiwDj7vosfzVz396oG2bW3ct+3irgb4WAhHFAH6FmZ+lXEYRM59YedECAgIC1jlONZcRMydE9Dj9PLPyIi0NBEactp0PsrPjbADA3ePnAgDGVZOa66TYohrEpPrUzS96eHI/AKCl/todV10BAOCnZhm3ftpprKmRxnL5vSOi2XTGdmFyXH3tx0TLb35SGsvsefZ/FFnalmIqGtpsO3Fpnw+0ldfm7KcBAE7foSyksbYUZDmHk2mM0yfkMp59rzRjwVHVlPZKy4paJIVDJ1QTfvZuxpuvOgoAePUTRJvbrWMcXygWoD/tLPXtL2R+58TFN+Tdmt/4PmrzXW8ZiV2K7ajHXeTyuPWHlRUzldMmD2lB14hXbGaaYkxA3bNSLCZi7JnNXHEUIBaEaw85UbQCWxcI4W5b5y1vAVmhnsUIzpxuFGTauk/mzY1IEbapklq3hRZ7sdiOLdY5OD4m8QIa24VYFf+mV/RnsYuWpXGqL74Rk2MDNSdAp6kyuXRnLbbU9Q8/9A2075GYxOyTf1bPT1aenBJOpvFbPivLz5bjHGtsw5Qy4eI0+a2dGJXzmTr2fQDAzIjcf9AmP+NogUcahfMwXipLQ461xarxWSXMbq4ttbxjlk9ajCG4gkhLUwWcJWqxxGHhVI0hXEdEnwTwdwDcQyHX4SwgICDg1MImpK4Y9Gy2QYjtngHgBfp6/koJBQBE9FwiupWIbieiN6/ksQICAgKWhCHVIQzr/46IIiL66SXvP0hQebWhcYvvAvhxCFXGNwC8nJlvrtrncRdfxF+56kqkRimsqWgWFItzLgILMO5uiAtiPtKKSiry0liAunH3tWhrsNMCdQajgnaU1jqdU5h3QTTqqBtJUwOjOQnCGYX2QzzuxmPnkhK0kmIg0lxfdostJOwqRc8/IdPDLTne/bslhmVcP5YSueWWT+M7Z0qgdM9EvSC3Hd/cKFsO3CBjbX+0k9EqdzOXQ7EKNPE4kqPcD8LRbCfm+rJUXzX3kblEmrnAbzfYWIPcwrZty7mQdHkXOf3fb7l5y+ILjSJwJeeOj17nU3XO3WT2l/mNbKz63NJcae4Yjr7vnQCA7c9/CQCgtf/xAIDGQ7cBAA5Pi1toy7wka7S/+FFEo3L/xhdLEsbs5BmF45kYJnKSsgsQ+/eOz9WUpzj3eY/MdUQdo8rWvtMaPE+bkyW6+FpLkiiaW3YuP6h88cX85S99caBtR8cnKo+3lP+7XiCiq5h5SWzUg/ZDeFeXxccAXMPMn1jKgfvgCQBu10Y8IKIPAbgUwJImKCAgIGBFMByX0bD/7z5DRG8A8GEUXfyH++04aAxhBMDDITEEAHgxgJsAvJqIfoyZX78ocftjD4C7c9/vAfDD/kZEdBmAywBg3759mKcGmqoKzGnQ1eqUTItuxJFL2XygJae/RRQLlxZ4Osm8zTa2yD5RjPiopN0Zn4qN/6W7xAp4/BmTOpYWtc3Ogkc0ve+EFsp4Aa2Wpv/tnNXiufYc5qdl/AXHhVMM8m75gQSo053CXbPQPM2lHlphmgVSv/+QFIbtHBcrwClY+y/ENuNT0kWzHoOprTmySyyjz35XZLzo9CmM1+uFbUaMJVQ1NVJtv42swY1ZDaapxZFZJloI1zFLCLoPlTTMKg3eQFTWnF3LTDuut29ENDCzwHJ4cDhni/RLYR5Enn7bdFtvhltdmetj12hGrlf92H3Y/uJXAgA6O8USqB+SwLBjGtX5dIHjJ74AB0blnnUB9ZOSLntCg+Km2dv81Q9+D/PbzinIVjsu+7AWHyaRpKomHUtGyE7IXQf9bTjL4KRwTRkTa7xwEq26WC9279j3YaAfw7KHHUR0Te775cx8uX4e6P9uEfgPkDveb2B2TpdtCxj0gfBDAJ7BLBy4RPRnEMbTHwfw7cHlHBjdZrlkSOuEXg4AF1188frzfQUEBGxe8GDuSsXBHi6qgf7vFoELIA+DH9VxvgjgzwfZcdAHwh4A4xA3EfTzGZqSulC925JxD4B9ue97Ady3AscJCAgIWCI4s0CXh2H/370fwHEA5up/uS7rG2we9IHwDgDXE9GVkKfZUwH8vhaqfXax0g6AbwA4j4jOBnAvhEjv3/faIYL0lbX6gJGoSJE715H32XaKEe39a0HlaFZcRCeV3+dEbQsAYHJelj+489HYWlO6aDWvzS3znHO1EtILOLbGtrtHfGtaaiJcsFXdIlMaOuYbvyDbHbofR66TvkPNLWIy73vFr8r4twsPzPw9wn9ENflOz34tPnmr8MqMaM72edvFLD4wIxw/VttgrqVj8Q4saG79fSfk/bxtElifOHGvnN9WuT/n//p3AQA/9jNCbhshq/6dvPdakW1M5quzXSzS+kGR8dCEfN/+1b9B/WmS125BeQsaWjDbguWxBuCT2kjWC1jh+i27IK+8u17FOfPdctNr6qYj5VVamFKOq9y2Vb/pQYLIVQHiStfVImB7dAt8W8KD9fi2oLyjZc/tVHVoG+uo3gvbtu51btKx1lEAcHTYB+dlkO1jRerxdHw7duhvw5rnWKLA9L1yj57Y+zgAwMhtEoCd+9ZX0HyheDOsJzV+IMkL0R7hMJptiuvIrm09ijBKcsy5jrpl9bdd1/Nrjcnvt6G/52RsG0bvlAr/ZJdwJ/m8YsvFkNwSi/6/64OHMfOFue+fJ6JvDbLjoP0Q3kNE/wIJfhCA32Zme4L91qJEHex4HSL6VQCfgvx9vpeZbxr2cQICAgKWCkY5o25J4wz//+46IvoRZv4aABDRDwP48iA7DpplRACeCeAcZv6vRHQmET2Bma9essh9wMz/AuBfBt5eAzyRYygVDbEdi+Y7ZU1OauQu4rymqB6NhOdoS44TBwAeiLbI2B3GnHLWzLSsqljT4lT7topK10hmruMqag1WwXvOwp0AgEMf/isAwOhpYmU0z344dj5VPtfPF63q3qYE83Y/5llynBHRnOgM0XhGYsLT9ov820aKl3Nav28bLVZwzrXZad8X1ZTr6YBod60zJL00aoumPrJHNOqxmlgbx7jptMOxI2KZkAbxahp4v/mNbwIAnPgfHwAA7HzyS8EaADymacDbO5J6y1bl+vWPy3EthXHPeS4tN9VtDpEE4e03aAFOs1jqEbB1QWRqf/GjMs5WCX5Gj3hiYW586wMo/7iteVAnLaYWN2LKBd8FLaOlVVjg0+Y8Sdkts31tiHmvjWg+RdqWm2xmaUwsaMKIkqu1R7aWzsuCub514rh+vi08PNH5UpF9or4Fo3ofc00CtdYAyPiiLHDLNTle/MAt6NwngefafqmMh1ktes3H1NI2PrHWT70RqZ7s5AMagtTrZLNoQWTjbpqfS5BNuY6rP76jOn97WvcXjh8tzKCzV5IijG8pGd2CYYGR3YvLHmuR/3d98MMA/j8iuku/nwngFiL6thyKH1O146Auo3dDrtUzAPxXACcAfAzA45csckBAQMAGxzrNZHnuUncc9IHww8x8MRFdBwDMfISIGv12Wk0QMyiXopmohmMOVHuST6aziE5I/4H2DkmtM/4UY0vsmG91PmvzaFbDdu2UefpD4vNsj8vDtq0d1EfnJD1zD1DqGLGzJVp4RznZJ3/1D0RWE649A1Kr5YSmtdZV+/nBgvr4zxNtzrTIaUocr86hOTngSW0wb3GOPcpcavvMtTs4XQvSMKOFYDvE36+Hw8gdYvzVLpICNj4u2tfU9nMwqfMz/+jnFM6vrvrd+X/5QVmvt8jRTootHfHlpygW9tUO3ykfzn6UyKztF2c7jLFYi5Y0JXHLli0AMmbZI/NFK+3YAqNdF8bQyeNSnGQWR3RCLKG6tr48ztntO6nkQs2OFC3N1cUSmW2rn5wtJVa5qaIW6vd9R+ZFfdJNZfQ0zHzyPQCAiXPEkpt/4ssc75DB7il7N8vBrNm8FWLbGGZHRNs2dt2GZ2WknFlQrsDP0ngtNjI+pWNkPSMsDjWq96FZgxMNuW7GHjqpKcU8dRoO7xYm1m01LXBrS7zGLLwFTfU0mcFZ+9CT24RpeOfN/yzrHvVDAIAjelwrnHxgpgOlxnKWjzHa2nW5PZI019FGxjk1oRZUfXIXhg4enoUwTCyHhXrQB0Jbq+kYAIhoJzLrLiAgIOCUxHpkelgOBi2zexeAjwM4jYjeBuBLAH5/xaQKCAgIWOdgiFY8yGujYNAsoyuI6JuQwDIBeBEz37Kiki0FuTJy1xSEcjY0gHvbTZfwaybn5Jy4E2J1K9D3JcDffMyL5T0mPKjUy5a+Sjskq2tac0jHTmobTDWXk+kzXEpd7ZDQa6dqth5hMcdZXVLONVAfdw1CGuouscBZkgtOAsBWbTRTO3AbTtNWmeZWaCeybtuo7DtFmn6qrrLxm7+C6NFPBwDMTEmVqbm6ag0x7w/uf7Jsq8e3wOcEZUF5P7AKVjeCnndD574ZRUghgeHdmpI6t11cA3e0xD2ze0obpczZ+ROO6i9pQlNFx+67UabphAQpmw8TuhZza9TSrEFO86W/CQCIbpGU3nRGXFbR3FGZk3FJUTzYinBQXTm7775e5mJWth15pLrLjB/LUlhnZlzQ1Vwo1tzGBZFfLmm6IEluGEkX0Ghqe1DPdWQuG4PRhhvfTx7mdrLjWMvQh/T+tEr5iXrkUnptW3Mh1jVg2z5bimG/8wNxr/3YWVO4R5stndaU6zHvubUSjwepPrkLE+qyObhgfydyTVt6XlORudxk38OzHVi+hfFi4ZFPBwCkev/tjIopv3sm6zjhUbO3U00xr9l78e+sFpGjGjdXqF+pvlwkG+nffgD0fCAQ0bbc1wcBfDC/bhBujICAgIDNCObN5zLqZyF8E2IZESR16Yh+3gLgLgBnr6Rwi4GlnXa8wJlpNsb4eWwhcRaCpQEeHZGUt5YGJJOtkj63Q7XjhYRLmvrhWdFWpjSAlWo627GmjDG3wDhtXMZPlP+o/qAwRs5NSfGNBbONt+jYQlpqOmMMrEbKZIHuA3r8sW3nY1oLcbapDDMaDDXt5aG2HGe3puMdu/56bH+YVNHb8UzTtUKnEU2ztfO1wG08dxS1jlgc1tglowsqFk1Z6mpaH3FaMWlA3ahptqlGa4HPKY313jfTcQ1pbH4ObxFLaA99V/a5VwL7I7skIA1EOKGNfO6clQPseLik6062j4qMdUnbtQLDQ3MtFzymM8UqOu12aZ1Ze0CM4ETTa+Odch1ndz8SiSjBTmtN9bq0vHaixnlFROC2at8kwevJkzLufXpH7tD7wSwG7YSKyTrhkAbQ7Xo0PGZZs4QbXQLRlsJpGvrdJ0SOfZNyvGfu1vRUAFtHilaJ3d8WvLb008PaMnR8cgTHNJnB0mTZK+izwOsBDSTvGI3dMtvGAvlsMusNFyk/Fkc1TGsBnBU3zpT4t2xMuOXZcaCyYajYZAZC7xgCM5/NzOdACiZewMw7mHk7pBdCaI4TEBBwSoN5sNdGwaBB5cdr4QQAgJn/FcDTVkakgICAgPUPKUzjgV4bBYOmnR4kov8E4P9C5uFnIR3U1g/0SeybiAZHzTtSQ8oS4DQ3hpnFteNScXlkqugJI8oonuN60Y1hZvKxRMxYc32kSHHXcXGt7BqTdTUNep/5gOT4J3ulKnghlhz2HfECoPnebR1XrXvUI8spL57YQifFvamY26drIHqX0l1bPH1bqgHV2aMyB6/8TRxuSnWxuRjsOEZtXau4idPmJKguG/uVvc5dZ8HkWMaKOgsYsQD7EeFKSkfkGpxWk+U0I+4l4+QZrW114895xzmxU1xHo2xcTeqqStjNT13zz61HdKsmx9ueStB/7IDUETxiajeOq+tr+rimb2slr1FAJ2dK1bhVAeenxq531tdZ3k+qG8q2JQIm6jLu7QvittoxJbUfj4bI9EBi555VXgPAQ2/7VUydLRXrsy9+i8hfL+pyO/X+tCDwSC2CH5O2eTrtH6X+BS+XsazXcpy2EWtzKFetr26e3eMim1XbW31AylyiBXd8Suo6tN/ZSI4G20Q77vWrrnkV3qnWskQAGjD+q6L7yrCUxkLLRbJx/usHwqAWwssB7ISknn5cP798pYQKCAgI2AjYbC6jQdNODwN43QrLMlSYzmKBNFNi5jrsKia3zkqaaaosp6mmIpryZYrpRD1yGotpTk1v3JOualI1nJzqcEQDjvGuR8i+2hAnbYpmn6jWdQzNXHVzWjge67imZVmm4myaOq3quHaltAZANQt5aUri0dMvcjL5QclRz/LwWxpaoDhFjFS176am2s6O7yrMl23LGpg27hwgSzd1h1NmTNI0TlqQgOuO9iHMayqnjWuapiUItEi0VCXgRBwRpnR+/Mpem6PZSLTz8andcvjbrsaJT0qV7NhTngAAOPSkVwIADuq8TSsv1pQG9mfaaRbE9fIYLQ3U7os7j4kVk6SZhWDrrBoXTal2PuNu4R9rnS/ptE21Yt78ts/h+afLvfLcn/g5ABkLqcGq9BuNrBLcl80w+pLXAwBStVgdc2p7Ds2RKZVXlp2pUX5LhbWgs7HVxhGVrBULtFvK8t1qKVvFPAE40Sr+XvxWsd16EVkw2bXONGYCa/TjtRVgztgHUpRTeJcLBiNdr+QVS0RPC4GIfrffAINsExAQELDpMKB1sJkshF8gouM91hOEu/t3hyZRQEBAwAbBeuQyWg76PRD+ElZ22HubdQMzOX1zMootaJVdQdZerC3NSR/RJirUkACkxaxaCbtxD8xaLrXs46i01Y0xpgRp1Jwsmez27WRTXFas+5g7Q7IWZBufAtncJeYqsrG3NGPUveO43sOJyOpcYRbgzG1T5VZwMlswTqVPU3bm/UmtuWiklnde3DevGbnK8dy5yoqiW8lM1tqD38WY9cjVoG99fEdhfHPFWW3GWD1yc9nKBVeBLABp88gazE4euhcTe2RcesarZGBtBrPVoxO305tqlA3relTMuTfX3g9tlSrn+09mTIdGLGj5+hO3XQUA+NhzfgMA8Lw/lMZW9KPPBwD8r3/MWo6kI8Wfo/WxNsTqguOo5twkfn+fRIn4/OY+aWPc/W4ivS4j914v67Rfd+OotP6dn9jjzsEPBNs9Zb+N3RPFnt6dlLPKe082K+I2l6zt061Jkd0ziXf/FQLInltsET2Q+4KxsbT/QdDzgcDMv7dSByaidwJ4AYAWgO8B+HlmPqrr3gLg1RDi819n5k+tlBwBAQEBS0W3vhobGYOmna4EPgPgLdot6A8AvAXAm4joAogb6pEAzgDwWSI6n5mTHmMB5GlCFmjKVFwAQi1sm7Wa04UhuC7a3NhJoVum9iwAINl6jguCWROarPmI7HvGhDZziYSLJUkyTdoa1BhG60WNqpvO4gd1vbid08pqVG6b6O5R72YtcQ/lUNUK0kdEhPFItN1GrPxDlnLpacmF/GvO9geyH1LNO0+jLWdt1NMNtq8FwrMxs20sHdS3gFzTm1Gx0qLn/DJILbUZvcO0wyqMIJu8OWnEkZMh9s7H+JtmVdW1KW/E5HiITCYLupJSdD/9DUJt3tgr6agPbpckhPipF7hz9a9PbAF71ezNYiAsgJSam6l7qDAf7Jedsu1MozZadLu2x9QyMA2+k2v8Y/eBVe/G3g3peJ44Gy/2khuqLIL8vRTBn4PiPZRPhLD5yn4TGBrYk2szYNC006GDmT/NzGZHfw3SWBoALgXwIWZeYObvA7gd0rozICAgYP2AJXtskNdGwVpaCHn8BwAf1s97IA8Iwz26rAQiugzAZQCwb98+MGdaclYc4+2DnI/dfI6mwajWWE8kHbV9/ZUAgJGn7wXqWiBjvnAq+jjJ+e0lRTHh2Pmtq4pifI29m7LhN2exsSI9ThrV3Tnmi6CAjKXTtMYoUQ6i5lTJr+xrnlSl+RC54jGnidkc6CbOpxtn1yDjtSlq1r7MhjwhqKXPpp7+Evlzz1wqjjOfuGsbqUOYRt/m7DpYHGBc1Ugr8jLLw95TzhIc7Xxci0un4Rb3adYIDW2iZOysU7FyTu0WbqvpX307AOCkOtajnE8+s37MX67pxxr/impajKhxsaizkFkN2nIy1XU2J75VyESl624NgMhZZVaIp9eEy/fBiGeVxVxMJW2nmbVgm2rGtLMu7X6weWV0t6SB8u/G3Utp6mJUK4FT1kIgovOJ6HNEdKN+f4xWLvfb77NEdGOX16W5bd4Kyb6/whZ1GarrrDPz5cx8CTNfsmPHzkFOJSAgIGBIkN7kg7w2Cga1EP4SwG8B+AsAYOYbiOhvAfz3Xjsx87N6rSeiV0KI8p7JGY/sPYAjJAXElXTfgHIGBAQErAo2o4Uw6ANhjJmv9oJrnaqNBwERPRfAmwA8jZlnc6s+CeBvieiPIEHl8wBcvdjxXZpZlwCUuVvmUQwQ17V3LzekmjV+ys8AABaiBup67pGLbXtBa0Xt+yLq1nYbJ8+TilNnmqO3myQvd+rM7OJx2aVpZm6bqjiwcwWYG8HmoD2LVM+xXzC5FMRcOIlOQ9IWm7OSFmpptJ2ceV8Yo8u49kOKPNeRnWeNIuf2a2vjndhz9ZWQc8G5qmb9Pq45t6Nk86hJAESu2YuNa+6qvCuqCn76ro1lwWsLtNYjYMwqyC34rm7Ajspi0jsOoi4uN+fmtPRQ3dTdFyYqRWCtKHcpvYk5ZmyfqHB+RiFfWBYV/yLitK1y2P2XacDm7rG5cHxfuq/NSUzAuFZ0276WEm371OPinCdpmTOpCm4O/KA5etw7SwBz1nRos2Ax5HbnAq6n8ksA3L/MY/8pgCaAz+gP72vM/MvMfBMRfQTAzZCHzmv7ZhgFBAQErAE2kjtoEAz6QHgtgMsBPJyI7gXwfQjj6ZLBzD/UY93bALxtOeP7QeW8ZmBaj4VjTXNKtMWltduLctpSbUa0YWhBk7X6I89S6JwtCVE0d8xpmNpbJBeA7i4zEZw67Qe8SQuOrE0laYAYcbMcVKvQ+i2oGM8fLxXuDYy0k5nJOp4rRDLZu/xIXMtFSzO0oK5X6tmIM60uqjClbHxrj+iza+ZlsmtgmjppquysphETkQs0d5wG68L0cpxasbgJnDqt2yUkeNfYxlQyT6QA6ppU11Jt3phDrQWkSd/NEnJzmhZTVnw5bKc0zjiNXDqmWZW+5WN8Ul1CiratNaqxpAlou8paRKXCMDsPF2jX7xaQTlJ2Kbh+AZrB5sbSbfPWQb8iM87dh8MsRCsdB6depTIAgJnvAPAsIhoHEDHziZUVKyAgIGCdg8sU8Bsd/Xoq/0bFcgAAM//RCsgUEBAQsO7B2FjNbwZBPwvBiFMeBuDxkIAvIJQTV62UUEsBgaUyEWVz24fjbrFcaG+9X02bMtD5wocAAPWnKs+MNnxhNc3N3DZTPRnb7mxnp0VYX2KVsTZ/VNZrL2ThXukeyLRxXQ65me5xM6Mv1n7I5hpwbiEPychU5TpDlamdjG6B0UEt1MVt5lfr+sE/CYoWx6mrI2Geyy4BQM6/ugJbc+DJ+I/0/HPui5pXCZunPwd6czg53iVvDlyCAsXlPtLmvvIqsC1AzMzuuoxpn+yjegm1l06u0rvoXotyrjC/urhUN5D7agH6yL8vqrLNOc1ck3Z/6H03r41q7n7NvwcA7Lv8owAkkaDmVRunXv1GVn2s33N1Fc7NqHM9VvdcfJSNbfNjdTXx3FERW9241i/b6m86DNTs3rBTrKxmWDwYZZfnRsdAXEZE9GkAF5urSCmv/27FpQsICAhYrzjVXEY5nAkhoTO0AOwfujTLgKXM9Urp9JFxoBSDbaaQmZay5d5vAg+7CACQaFDStBBfk86qNgnsmsrINsaIam0Wx7UKNNamMJ3GREnz9NMMTYOzoHZee8wHEmVb21c0xPiYlHMk02cgtSrmCg2zKnDHXJ1Z4Vcs+9XJ+c8JilxDLq3WGDrTDlJNbSzlrVKRxTOv9fkcOPaDtQA0eUHKbqfiz0FpPVEp6J/JVjy+WQhzHcaMXv+peWmQVB8RllVLtay5e6f7ezfZUk/jzVuL1lAGcdGSgmNE1Xk0i4HTLBVVrZiDf/B6OY/f+GMAwDl/9bHCaUZUZhs1uOZLmm6bb29r1k/bq1g2i8HuC3d/tBcAy4PQ3wu1lZ34/u/KWHffBgCoXyzlT+nWs1xAeyViyxJUPjUfCB8AcDURfRwyDz8F4G9WTKqAgICADYBNVoYwcJbR24joXwE8RRf9PDNft3JiLQHcu0ir566+316/T5+UhvAn911SycLoHy6/upbzfwLlpuCtVHyfTdV08uyMJajmlnYptnHn4Wv3tq3tO7ZV1s8dc5w3ibZM9OV3FgoXNdF2yqUUQYPvSy6M6323gp42LO4gMlqBUotqzodfa51UoVSzjRvIw1Jw0+Zk6QdqXy311+Qw/zMtzCCZPqNwjlXIX5uqYrUqzb0R5fiINP4zmUo95sl4rCAree/d5KqS1cVd4rpL23UxM43XkFkGXuqxix/k0Do+AwDY4e5dHdPiYLm4jc8KO63tNvOWgcEsg6rWmYlbL98b9RFnSVv8jJUZN9oi6eJmH6c/uBEA0Dx8DxbOfXJhvG59FZaKU9ZCIKIzARwE8PH8Mma+a6UECwgICFjXYHaJKZsFg7qM/hmZAjMK4GwAt0J6FgQEBASccjjlsowMzFzoVkJEFwP4pRWRaInw004rt8tVL7oURRTTGGvz0kY6367Q55LJV0MCOd4gKyhlLrkvEs88NhjFcLRwwgWrLejrtvHGN06ZNK5XBoJdlbOm6ZmJTa05RLNHRCbPZeQH5TtdzH0/ndClm3pzbz+WTsrlc9Z3cxlMuGrnLNXXKo9n1aXi04U7nicNpjOVEyqrfrBpU65t/cBt6GwRdvXUcysspsq1VBXuBVqT3GdujBa2tRaoLS9dM0uRzba1afTdS/VU3GZJrMkOjEr/qbmKUj84H9eze0bdcFvPP1O+m1tT3TbJRMYuPMp27JHieN59kg8g21w4OnLjwbJgfZfkgFZNEil4XO4Ho9k2Wcko6hvaGvf2G9BoK2/Zw54m64bYIYdx6lJXFMDM1xLR44ctTEBAQMCGAePUdBl5FcsRgIsBPLQiEi0TeQ0dKAeRGOQuYs00GdWUYmskM3cMAJBoc/q8cltqQlNhkTDgmqi7ghpvG8dZY0VmN13pAn7xeT8MAOhoY3m/ZaM1RkHKWXqnz9+k6aaOq6Yz75abVlVThtf25O6i/Ln02fz5FlIg9b3ZlsCjpSw6hbY26nay343fNtSWW0quzVkjpowfyCsyy6wylSPXBMVXipuqgdrc2DzOaycb2vNox2XV0p8Du/RMPQ3vuCmodN0tgGsy+9ZhRJnWO9eU4P7otZ8AANQvuVTGdamwmZUEFIu/bNjYBYrVqlDLIN9YJvJSl13A2yvo8xMIgMxCHX3lf1bZ1Ho+LGFDKwZLR6YRHxeeS1Krwe4DsyaMbbfWkXuuNbYdPvoxmSZcbqozq5M9tlWsmFhljhaEWacexeCW3PMjx+4BAMxN78WwwDhFs4yQVSwDwkD6zwA+NnxxAgICAjYOTsksIwA3M3OhMpmIXopQrRwQEHCKgpldK9HNgkEfCG9B+c+/27I1A0Nyzetanktm5msArZMLN/q56c4PqHwtsZqV5i6pcYJUHSF+kNKvT8gqWLOgV8dTIhLPZQV17UQTW0DTp8k2mpdvFbxW2bsYjcQqlyPLN1cum3RsK6ITB1TQIrVz2xs+9gLw7YRdENTWWcOcuroOuC6me01N+DiOs7xyHf/ovMg0plFFo4A+vmButpyrRmXJmr8UA+yFc/ZchdZHOrZKb20MZEhoJHMzWVDXy6vvlPzEmcPIlRbou5sTj6Y65VxA2FxCc+Jqswryhga3HQ13bl/OuauKRy6ety2OiEr9q/3ahVIgHOTut7glQWTj6rL7pH3aeTJ+S2U//gDomNxLsbkoj0lPctLgbrJVGiCaCzbhcq2KPzc+JMlAtzXOp8RLolCXr6MI37kP0VFxidIJkamuNSfDAGN1qCtU+f5dAI8A8ARmvmaljtWP7fQnADwPwB4ieldu1RSW2TEtd4w3AHgngJ3MfFCXvQXAqyG/s19n5k8N41gBAQEBwwJ3ebCtEG4E8O+gLYxXEv0shPsAXAPghQC+mVt+AsB/XO7BiWgfgB8HcFdu2QUAXgapcTgDwGeJ6Px+XdMIjEbaAqnmQok8r9LRaQBApEG3hDPtriogZBphPpCbamDWMTZ6QT7b1qqTo1y3G7MEXHqcq7TUINiMcNtEk9vA8yfcMYGMwTGNVNvuknZYshq8gHCi6aaxtVI8edBZCy4AqDI0LVioaZmm59pY9TinQUfFde2p02UfT0vPZ2JYw5ORieKtZ5vEuTREO9eOt46888ufv2dEuOBo7ahUnVu6baRV20l9zAVT/eP5qZDd4KdHpi4ors1gsiyH0j718y6S433na3L8i56jMo0XziWiXFC8Ij3T3Zc5S9Vnay2lJXv8WBzVXEA2PiC8QGiKLK3TL5BtzVK1BlFxwyUtWBAZZuWOyG+vPXFaWQ4vgF7Fh+TODxnbaXNBkj4ael/PtOWerWn6tmsE1BgFWTXz4btlm6P3YJhYjQcCM98ClO+1lUA/ttNvAfgWEV3BzEOxCDz8LwBvBPCJ3LJLAXyImRcAfJ+IbgfwBABfXYHjBwQEBCwJDF7MA2EHEeVdPZcz8+UrINay0M9l9BFm/mkA1xFR6cyZ+TFLPTARvRDAvcz8Le/JtwfA13Lf79Fl3ca4DMBlAHDm3j2g9hxIU9uMt8dxwOdcr3nNC8iUt6qLm+T8l23nGi76mW0ssy5qEblt3aEjjVGotVI/If5NHLhT5ACAmvpsJyXd1Hy4HfNve7LHEZXSWf14hp1XYqmqk7tLqZTR3BEVVnltjHPerIy4WCgH5C2sKr9vWXO3KbYWihMaQ3DppipXK+XS3FaNb+c730kxWi+WpjlrZkrSamP1JcdqEdFox1lqNeVISnJaaR6L0dDMMsj7vf3bq7PjHABA3RhsNa5T3yIxrLbeLwnnrndctEydbP7xc+nIzlqyrdwPQCzGTmpxJAKplp3sOk8H7t47wSwtStpZsdq0WIg2n0nOKu8H/xq7udJ9x6MEtDBT2IbawgU1Nqr3plo88UnJiE9Hpx3vFU8L31E0P8Rmj4tzGR1k5kuqVhLRZwHs7rLqrcz8iS7LVwT9XEav0/fnL2XwXicJ4LcBPLvbbl2WdZ11fcJeDgCPu+jCzZX/FRAQsK6RMtDqDCfLiJmfNZSBlol+LqP79eNrmPlN+XVE9AcA3lTeq7B/15MkokdD+JDMOtgL4FoiegLEItiX23wvJJYREBAQsK5wqjbI+XGU//x/osuygcDM3wbgIk1EdCeAS5j5IBF9EsDfEtEfQYLK5wG4uu+gFIHro0g1kOUCuGaOczVtdOyZ493gGndUbOIHODspd6X9BXKpqeqWodOML2bBpaBaINgorFPVREzENOeD8atYq7iF8sF0481xrojRbQCytp5u3pr5mkST3wsIortrh7p8tm3MNRTlfXnIeH3yjVcsgOpXs9q+h+dkzraNlm/nLPgv88gaJCVzGc2fAI9pOm5clMU/z3xKpO8+8t2P3W6TUgMZC3hOiHvQkg2ikwflfXqPSpP5qquq3rPbofwHVaqu91yk+Xs3UheLBeNjlSU2fi+9H1h5vhhAOi73ju8iShL77ZXP3+bPgu++N86orqG/Y0Q1574yl5Rzb1ratrqx0hmRNQKQTO7SffT3lA4vFLrIGMKSQUQ/BeB/A9gJ4J+J6Hpmfs5KHKtfDOFXALwGwDlEdENu1SSAL6+EQMx8ExF9BMDNkNTW1/bLMAoICAhYbTB3q1FZiePwx5FrPbCS6Gch/C2AfwXwPwC8Obf8BDMfHpYQzLzf+/42AG9b1BggtKOGC742VFuxQjLOVRRWaXduvb5bumiehdRUMVcE42ktpEFgCerJJtZQ3raNlT/I2FQtRRYjWRqoBcV9TT7xtK1Wwi547TOKGluoz06a3z/TaOXDXGO6uN4LokeUW1fVpKWbRuhtM1LTuUhkHmsaQHWB0ChXQGgN13XBaFsCg5Yqu2PbfidjpIFHSyawwKmbV9NwVROO5o87a6iKCdO3FFLOtar0CvfctrpvnnPIH920+dQ4s/S+MNTm5CeWjGx146ZdriVQnt9ujWAszTTP/QQUg77GD3R0Qe7JvcpD5Fh4jffIWshydh4+B5N/H7h02ygrgKPUeLaUR8wsN2t6pEWPPNJAWi+yxKbeedSVkTU5eVTGiGNEdWMuniqMNyycUi4jZj4G4BiAlwMAEZ0GYATABBFNhAY5AQEBpypWsTBt1TAo2+kLAJhP/0EAZwG4BaFBTkBAwCkKxqnLZfTfAfwIgM8y80VE9GNQq2G9gCAunlokT+x5vVB+NTKh7BrwXR+x7xJpTpYa1NS0Itoqfg2RBYqjmuNPMnM40arjqKlma1uoeVP7HsWlfH/2OHH8SuV8oNXcS45fye9Ta4HxmEqVoX5tBrzvxXDrYMi7DGw/cuv0+Dp/LvibO4CrtPXzAcxNZ42FtIaCayMZ944dx/vumsOoKwRRnOXUW9W20nbbHPVSAn03id9TOauV6DGGzoFx/UQawCXlE2rUx9DS+8LVzHgy+S6kbjUgoLiwzr8mjKwpz4z6IdMxmYua8i2lxkuUZmP4WrJzDVkDG13u+KU4cYFg8ijnjVmAtRLaqqDz9RCuRsY1RjI36xZZ31C3U2MEaax1SGmRuWAY2IwWQveqkzLazHwIQEREETN/HsBjV06sgICAgPWPJOWBXhsFg1oIR4loAsBVAK4gogcxJHK74YFBSStrPamatUvJHKBashSUtWrTtJNx/6i+YxxDrumMBZndzpHTapxlYEFetQhYA1ztnLZuqXpVVbHd+JesOLfZI21WtsvWZ82BVIszRlSvMtVnxMy3IPXhGtfocTo5Ddvm1v9xmBVVs1RFZ1WQS0W0Sl7HuWOBe60+zmd6uAC+wiw2Mz2cNZDTGC3gaAcsB2jhziP/vds2BrvfKDemf+3selharTGzWvMZx0Q7ewQN1WxbnvXijucFnbshSXvfW3k65xMaVE5Jfk/WWIZyloGdl9/a1F13v4mQfaUolwsr59jask/lL6bCGuK07a4/zOrz7gf7TXJHucLSNPvdeu/DgFhHp6bL6FIA8xBCu1cAmAbwX1dKqICAgIB1D95Y2v8gGOiBwMx5EpH3r5AsAQEBARsGKQMLQ6KuWC/oV5h2At3jiASAmXlqRaRaAlIQ5lAHeXa5b7r3ggVlnSlvOde5wKT1znWU0m6FftJqU+osIKlpsJB9mYoVnIYEuSCvJ3fNEz9fueoHhn3aY//UKU2yKk8LimrAsd80MVGup7EXCPbNfJM954XyXVW2b8fRh5uM7eyYHlW3C9h6Qd+IMheUC1LrdXEyNzQQfUxy/qO044LT6eiWggzwXF/5fPoqN1KVwtjN1Wf3hd1dVmXvKKiPSiA3mdjhXFwNrdvwg8w+8t5D/9i+Vmuyt9Ns3uY7lpRhiQrFILl/j+Vh7kE/eJ0PsFtdQ5s9WncublvX83V1QMhqFBxxne5jjZkibcxDjVF3bFs3THQLqG909KtDKPMWBAQEBAQslu10Q2B4EZY1BqFIBR1bg5IuF8xf4qfF+ZwvxJxVaOq2pjm1tO3miKOTVhOyk8Xc/YB2VQVnr8reEqJsn6pGKBZ0s2pQowcGp1nw2I7tgm1RYV/TsO0UIrBrIOOnqOW3yY+dP30XVzRtUatLUbfWlqYiJlmQ19MI83xR8l33pEzDtXU2Ny2dghFNZ0y2nJGNaefqqtE1IcFmJJY5cBw9aXY/+K0tfUvBrM18GmjCxW1S36KzqmBNo4xnDoE1Tdaq25sWFFfrxllGFqAmcvL6leVVFdn1CIg0Q+HCXTJPB2flOLvG625coPgbcVaDR6luzhS7BrEmYIBTN9exd3/56c1mCdWIEGmatgWR/aC1Ud9bUBnIUpMtjXVef6/DwGpxGa0mNs0DISAgIGC1ER4I6xaEmDKOFFNPfA0k6ZIZkPHPqKZjmlSeU894U0zrtnRJ87mq2mecPPW43ALSabIofs8XM/nxgPJZ6nkVis2K2rBLJXUHspRSXd+l2Q08/zzpvPlzlWcZ9JvAGDL6o0xzJOfo9VJIa0WGTLdv3EQNRSvFYBz0ppFa2m1M5LRQl4qo18382szFQqV49kimRZoG63qD6rY6ljGB1mpRdj4ozrktdgy6GguJOc2lRBd9647Xx4q0lOkza7XacNaRpVNTIs1hasr9A22q42TnpFSIVnU/5q0aP3N5XCf3wIzIsnsi4+oC5Bq4tp2eJVzXJotWYOfmOWqWmvX4VkYpztGed41vOtNnFPYxqyXWNqmpNplKG6POsnIFn0P8A9+MhWmb6IEQEBAQsHpgBpJTKcsoICAgIKAKPFDB60bCpnkgEBgRJ6UgaOqZ5ylnZqlv7flU0LGlh8Z1l25q45sTw1JVfdrj+aiJppe+6LYtLu6KKppjHxHlArUV2/r8PhzFqLqPXYpsxfpaRAUeG5HBCxraXFigOkXGP2TXB8XrZB/yjhif78YqvjPeIw3yuuBsFuR3zYEqTHprCBSNTCNSXiq/Z6+DpSw2IyebpcBaMNdk8XtV57mUrMlMZNTRFiTXuaCGVrQrr481S0qbk4By8tg+ZH2MJ3bKPsat5VxxI4hZOX+syZJzz8mmfnA5onJ6dlNzcCcaxfRdl5qb50zyqt7d9XeuopqTMbV503394Wy5VZ7HJx9y7kVLRKjpuNTW1FRLnqhllcuO5lzdcs1oULaewcCbzGU03NlZJIjo14joViK6iYjekVv+FiK6XdetSGeggICAgGWBReEc5LVRsGYWgjKmXgrgMcy8oL0WQEQXAHgZhFr7DACfJaLz+3VNY4i21u+JndfKXeDPC2Q5C0JLhrrx95im1C2t0MZue6l01hSmPcANUmUZmDbeLaBbDnBFhX0cOLMmbB/HlKrn4x8/z6qaZ60EsrRWYxB1HFCWLhrVcsFkHcQVxum+nqwR2AVVbd9+85Y333vxDgG5FFJESOvaNKc20Xtfl01LTpNyKZWp8ecU2zpaYLqDCJGxsxqfkmr1ydTpenzRgDvT8t14mOKj9wBWhGUpqcaQa8FzzwpErvjQ8Ti1JBDdUEvE3N9xLpXUtxxdEx+7plGX34FjJFVLxGtcYynNrqAQUdcGPvnjuPH1Hig0x9H0U8dOa+ywqv3TxBYAQEIEny21qqnTUsDIht8sWEsL4VcAvJ1Z7FpmflCXXwrgQ8y8wMzfB3A7gCeskYwBAQEBlWDmgV4bBWv5QDgfwFOI6OtE9AUierwu3wPg7tx29+iygICAgPUDZiSddKDXRsGKuoyI6LMAdndZ9VY99lZI453HA/gIEZ2D7kW6XR+xRHQZgMsAYN++fWCUY4jdXAZ+Za+rsK1YziDnB4xc8Nhzm/jB7C4NSkqVo4tQHOy4aRdXkb/OP26eXttfaYvqno/Ir5UwV1x+7hz/UUXNQt1yy08+lFFMe9TFSaQ5/u54Kiuyalbbxp+w2Lu4KfcO1APdby4/P98PWrt9u1SU+41+sgpvo1uOnXAt0m3GJRDc1EBx7fAPZFtz5VievQWft5+TC3xLMNly8h2fz0iRZYZz9OuOZwvdr1M251Rq8OPD9s04pzolSmm/PqCXm8bnOzK4RAl1O1LacS42o7mGq3xWmce3FcbgqJbVu3jHGwbEZbRxtP9BsKIPBGZ+VtU6IvoVAH/P8qu7mohSADsgFsG+3KZ7AdxXMf7lAC4HgIsvvnhzXZmAgID1DR7uA2Y9YC3TTv8BwDMAXElE5wNoADgI4JMA/paIrIfzeQCuHnTQUovJHsyfjj/FU2DI08KZCDUXPdJ0Q2dVWNqhN1aP+2QQhsryPou/8QZJb/XT/nxrw/Z1wdP2rNM8jfGVPc3aMYtawNMCoDk4rd+Oq5aWWQqUdrJAYJ82lPnqbd+y8e+HXihZAF7TmbxlZ5+dxegqxz0vbC5F17W/1A9JYwsAYGTntIylweZoXtNOLS21PoqF+rgukrk0Tb6UbmoVzUS5oLIG7i1t05sMctp+1trS2RT97jtOS1XnvqXtc4Pl4SdJ+EibYvnU5o5lleOWjjyv1oNxHHmNhYB8xXoPIZaBYCEMD+8F8F4iuhFAC8Ar1Vq4iYg+AuBmSFe21/bLMAoICAhYC4QHwpDAzC0AP1ux7m0A3rbYMQllDbecDpppLwO0SFB5JD0RKE/YgkvdU60vFz/ytVPnj3eyecfJyeMXCPVq41iVjunvk/eJO23ebVuMicQdj4fejjt/3Gn8tZmDMoZpoBonsPTTjmrLdWuYjkxTiy2lNM/ACmT+bmYYs1FUkdpbPt8yw6fBv9Td0h7jYpZmSbPNHz+bcrUmvThU4l1jZq5MZ51NdEFzm8rRLVZRlgEAYrUczKdfYDR1vFu6rcYfXIpqtxO1WJhfSOhtaimsxCmY6oVtfJT27RJTqOqv4CyvydO6D57f1mIZuRTTJLt4sqrvKIODmV3L282CTVOpHBAQELDa2Gx1COGBEBAQELAEMGNDVSEPgk33QKhKvexCvVIZTC61hgQcFbOFPesdpfStafWpuUKs70xuZ6PGbujKw3PiJtkyYo1XZLt8UNSPTZea6ujyfHvEUgGMOw81l3NB07oz/SUoaQFNM81jpVVOxrfLGNaIZWo34rmj8nl8h8om49dTCfJZ0LQ5L2OmI9OOj6h24oBso3TNpQpbJ3vkAve+L8KfI0Mvl1JVoLPrto6TWYOlXuVt8Zg2fnG5z2kEZsd75Le0zJrayLtdG7sPo/Y8/BatrtLbUi9Ndkt3jetu3lxg1Vx3rnFSpzAWR1ElF5ihoe09DVwfzfiaKtxaTjajVqeyG6mfu4mjmpOtU/En7C5Bzp03TBdRN4QYQkBAQEAAJEwTHgjrFt0ujR80zcPnLvI5WfLay4IFSI33RYuIUqfu6Vi5Vpum4TVrxWNvH6u5cUU2fc+dgWnHrnDMU0FbSdYkpuYKqbprwTVvX2J2jdwdo+bodGGbZErqCdlLXSRESLQZvZtb46ixtog2xpgyiiZtV5DW2XqmDKfannEo+emtxxYSTDa6M2L61lP+7PoFj41zyBXEcZZq6cNv2ZmNlV0n/57z2WIdT1AUu3npV5HotyhN6yOlVGizuJyloEFeawgDigqN6QvnZVZAl4Cxr7nXtTDMrm2roS08j9+nxxstaff+nJcSPHLb562GvCyGbKjIsajGXuOf4i+weH+srIXAoQ4hICAgIEBjCBuIlmIQhAdCQEBAwBIRgsrrFPlKUKAc5Cub/bl9bT+vd68tb6fsxrOcf+vR26goL+4VznLmv99fOKplefre7h0vj7pZK/MSVgVK/V63AJBqgNEdm7zxPFdRt/FcQ5Q+dnm+SQx79r3vCrOxtozEzp3kb3O8Ja4D6/fby1Xo9+q183HNfPLX3GoiXC6+5fQXZYtAbtxS8NhOz0tMYK7m7TGYe8nVUhivEFNWNa2uLmrKu6stsCreTq561/LxzR1oweM4o3UHisHYKE9ZjqwXsblX20aTvkX4JiMLcvdAFddWHv2CyiBClGgVNVnNivZ37lLzAcg1b3kR/H5cV4vFRmIyHQSb5oEQEBAQsJpg5hBUXq+QKuXqisdui6u2dVwz+RRVfa+yCLoes1Lt8Zp25LTUKn4lPzC8nOPmGSp9psryYKpVDlrW3U+2RQzjz7Wd1oRaBnMafR2tlQeNKqwXxw5q2n/SdgFav9K1mwYtb9mg5aZEenz3bjuljhXWkKWkakW2ts50V0TTXmNOs3RT1xBHtopPCOtpMikMqqkGfak1g3R0K4AsSO1SpVWzdoy9OZvFMax6KaQuuUGviZ03UeQ0dGt36Qer3Zx0sRR6We552RiUWUGelRd7EenjLNe4nXLJ0vYZAJaL4DIKCAgICAAAcLq5aNbCAyEgICBgCWBOkWrMZrNg8zwQiApulZLbZBGWnXkg/AYsXQ+7lKCS54bJu4mWYtEOLIOrSM1dds99NcgxhuU+6oeq4LXlro/Xi3IQ5fcpjsWeuyfKu2vMRaT1CC7AXhFoJ8rVXniBYj+Y7XoQU+zcLPVEXFTW/KXTFFJAssYveqL1B29zh04mdui7uIasQc7CaQ8DkCU7OELFkYariTHpEh3fd9NkVO5U+p34bh77jVm/57TWdI2QrLc2o3tld6+gchXDgNO/mV39QWz0122pvYjmpabGXG7bGlpVP70HrEFxjqqrzZcMBjhZeQuBiN4J4AUQVujvAfh5Zj66EsdayxaaAQEBARsYDE6TgV7LxGcAPIqZHwPguwDesmzRK7BpLARilkpGP12yj+YLVGu8S9L+FzG+O84iFO6hyDTAnPSaP19z77d8qagaJ/LUWKfZ59J23RhekN4ZBs7qiMqBdVtnc+C3xcxpwE6T9YKLFry0LJRaRM7iTEiqiUmrih0VuCdke8c5esJxTnClGh/bWtjFAvC9mtBUIW8FVAZ3PWu2HUngNuIs+SKylFh0PZ3C2FXWgi21QPFJTTEmIkRkVpAcpzGqdOHaRCfR1qNurKiWBewHSI9dNJhXJYbAzJ/Off0agJes1LE2zQMhICAgYLWxBkHl/wDgwys1+Jo9EIjosQD+HMAIpDPaa5j5al33FgCvhrgQf52ZP9VvPCYq+gl7MFQOqsl2W99PQ18p//qwrJXBD9jfiqgqxlrUYao0xdxYJX4bv6Cvh6xVItmYSVQHeYyrfjqoz8ha4E7STf1CQV/mJC1r33kZesnaVf4KP/0gY3QSs1rku2vI06OYskqj72ZVVPERzbZTPS6V0kGrWmlONvv7/tMqxlzA/Q9UzddywMyLCSrvIKJrct8v157wAAAi+iyA3V32eyszf0K3eSvkv/KKJYrcF2tpIbwDwO8x878S0fP0+9OJ6AIALwPwSEhP5c8S0fmhjWZAQMD6AiMd3EI4yMyXVI7E/KxeOxPRKwE8H8AzeQXLo9fygcAApvTzNID79POlAD7EzAsAvk9EtwN4AoCvrr6IAQEBARVYpRgCET0XwJsAPI2ZZ1fyWGv5QHg9gE8R0R9Csp2epMv3QAInhnt0WQlEdBmAywBg3759Pd0qLoiY22Yp7p/VTrlcz1jMXAziGqrct7SJR8ndyaVxauA31YY+fopvv4YsBZl6uB0NfmrykrKQB5BpmGNYoyaDBcTzrh9/znu5kwaVpal+ol5Bbr8iv1vl/nr5bTBWLYbwpwCaAD6jyQpfY+ZfXokDregDoZdfDMAzAfxHZv4YEf00gPcAeBbQ9c7regeoD+5yAHjcxRevj7skICDg1ADzqtQhMPMPrfhBFCv6QOjlFyOivwHwOv36dwD+Sj/fA2BfbtO9yNxJS8ZStIpBLI6VwjDGX8w5r9b5+DItJVXVFfRZMNEFFccGHiPPMWQtMqtaqC4qLbhi25ioP6Onh248P1XcP8uxTLpp//54vTiHSim9Fiy39FmtfDMepHwguhSs7pKiWpJpGffqsK2LzUZdsZaFafcBeJp+fgYAK8v8JICXEVGTiM4GcB6Aq9dAvoCAgIBqKHXFIK+NgrWMIfwigD8hohqAeWgsgJlvIqKPALgZkmL12pBhFBAQsN4gMYTQMW0oYOYvAXhcxbq3AXjbssavcFEMC6tdj7CUnP/VCoD3AzFnbphhuMLMTPcDxsyO48cqeV11sXc/RK0ZN140c0i2UWrsZPI0XREXj6foxotT4l3qcb1czLqPuyFy55ctiwcYv9v6brKx18+4F3yq+G63f4my3TV7qnYzVVHQ+8fJH28xP+kV/QmsUpbRaiJUKgcEBAQsEeGBsE7BRGuaJrrS2MjnMWzZq5grmQgd0+77yJI0J9yy/OduIOPBMW6jWrOSITVKi/xHhnjuGLimzXnUEnHtO33+Le9PhuJ6tq4i0j3IDLtt/MY/rmVoLqTYr1J9MSnHXtCZqLqaeRmHGQhDvRd5UYVpGwKb5oEQEBAQsJpgZqTtjRMwHgThgRAQ0AepspJ2g89zVNkLoI/lciqgUFy2cQ3eHEIMISAgICBAER4IAQEBAQGbMsuIVpA4b1VBRCcA3LrWcnjYAeDgWgvRBetRriDTYAgyDY5ecp3FzDuXMzgR/ZseYxAcZObnLud4q4HN9EC4phe97FpgPcoErE+5gkyDIcg0ONarXOsZoadyQEBAQACA8EAICAgICFBspgfC5f03WXWsR5mA9SlXkGkwBJkGx3qVa91i08QQAgICAgKWh81kIQQEBAQELAPhgRAQEBAQAGCTPBCI6LlEdCsR3U5Eb15DOe4kom8T0fVEdI0u20ZEnyGi2/R96wrL8F4iepCIbswtq5SBiN6i83YrET1nFWX6XSK6V+fqeiJ63irLtI+IPk9EtxDRTUT0Ol2+ZnPVQ6a1nqsRIrqaiL6lcv2eLl/LuaqSaU3nasODmTf0C0AM4HsAzgHQAPAtABeskSx3AtjhLXsHgDfr5zcD+IMVluGpAC4GcGM/GQBcoPPVBHC2zmO8SjL9LoA3dNl2tWQ6HcDF+nkSwHf12Gs2Vz1kWuu5IgAT+rkO4OsAfmSN56pKpjWdq43+2gwWwhMA3M7MdzBzC8CHAFy6xjLlcSmA9+vn9wN40UoejJmvAnB4QBkuBfAhZl5g5u8DuB0yn6shUxVWS6b7mfla/XwCwC0A9mAN56qHTFVYrbliZj6pX+v6YqztXFXJVIVVmauNjs3wQNgD4O7c93vQ+0e0kmAAnyaibxLRZbpsFzPfD8gPHsBa0F5WybDWc/erRHSDupTM3bDqMhHRfgAXQbTMdTFXnkzAGs8VEcVEdD2ABwF8hpnXfK4qZALWyX21EbEZHgjdiHTXKpf2ycx8MYCfAPBaInrqGskxKNZy7v4MwLkAHgvgfgD/cy1kIqIJAB8D8HpmPt5r0y7LVkSuLjKt+Vwxc8LMjwWwF8ATiOhRPTZfFbkqZFrzudrI2AwPhHsA7Mt93wvgvrUQhJnv0/cHAXwcYpIeIKLTAUDfH1wD0apkWLO5Y+YD+oNOAfwlMvN91WQiojrkj/cKZv57Xbymc9VNpvUwVwZmPgrgSgDPxTq5r/Iyrae52ojYDA+EbwA4j4jOJqIGgJcB+ORqC0FE40Q0aZ8BPBvAjSrLK3WzVwL4xGrL1kOGTwJ4GRE1iehsAOcBuHo1BLI/EsVPQeZq1WQiIgLwHgC3MPMf5Vat2VxVybQO5monEW3Rz6MAngXgO1jbueoq01rP1YbHWke1h/EC8DxIRsb3ALx1jWQ4B5LF8C0AN5kcALYD+ByA2/R92wrL8UGIqdyGaEWv7iUDgLfqvN0K4CdWUaYPAPg2gBsgP9bTV1mmH4W4DG4AcL2+nreWc9VDprWeq8cAuE6PfyOA/9Lv3l6FuaqSaU3naqO/AnVFQEBAQACAzeEyCggICAgYAsIDISAgICAAQHggBAQEBAQowgMhICAgIABAeCAEBAQEBCjCAyEgICAgAEB4IJxSIKKT/bda9JgvJKUcJ6IXEdEFSxjjSiK6ZJHb30pEL+yybj/laLY3O4jot3OfR5XyuUVEO9ZSroCNifBACFgWmPmTzPx2/foiCM3wauAVzLyiFelEFK/k+EOCeyAw8xwLt0+gZAhYEsID4RQECd5JRDeSNPT5GV3+dNW+P0pE3yGiK5ROAUT0PF32JSJ6FxH9ky5/FRH9KRE9CcALAbxTtdRz85o/Ee0gojv18ygRfUgZKT8MYDQn27OJ6KtEdC0R/Z0SvfU7n8eRNEr5KoDX5pbHep7f0GP9ki6PiOjdJI1V/omI/oWIXqLr7iSi/0JEXwLw0ip59JhfIGG2/VSO0+fXiehmPd6Hesg8TsLG+Q0iuo6ILtXl+4noi3q8a3VeQUSnE9FVOrc3EtFTiOjtAMwquGKgix8Q0AtrXSodXqv3AnBS318M4DOQ5kK7ANwFac7ydADHIMRfEYCvQugURiDUwWfr/h8E8E/6+VUA/lQ/vw/AS3LHuxLAJfp5B4A79fNvAHivfn4MgA6AS3SbqwCM67o3QSkJvPNw4+r3GwA8TT+/E9qIB8BlAP6Tfm4CuAbSHOUlAP5Fz3E3gCMmN6TJ0RtzMpfkgXDvfwXATl3+M7nzuQ9AUz9v6XEtfh/Az9p2EOqVcQBjAEZ0+XkArtHPv4mMDiUGMJm/pt7Yd8Jr1BRe4TXIq4aAUxE/CuCDzJxAGCu/AODxAI4DuJqZ7wEAEq75/QBOAriDpbEIIA+Ey/xBF4GnAngXADDzDUR0gy7/EYjL6ctqmDQgD6VKENE05I/3C7roAxD6cUAIBh9j2j+Aacif7I8C+DsWRswHiOjz3rAf7iPPwwA8CsBndHkM4WoC5OF0BRH9A4B/6CH6swG8kIjeoN9HAJwJeaD8KRE9FkAC4Hxd/w0A7yVhQ/0HZr6+x9gBAUtCeCCcmujGDW9YyH1OIPdIr+17oYPMLTniretGokWQRicvX8QxqGIsW/drzPypwkKin+wz5kwveYjo0QBuYuYndtn3JyEPvBcC+M9E9Ehm7lTI9mJmvtUb+3cBHABwIWTu5gHpOkfSX+MnAXyAiN7JzH/T5zwCAhaFEEM4NXEVgJ9RH/tOyB9YLyrg7wA4h6SLFyAukm44AekFbLgTwOP080tyy68C8AoAIGlq8hhd/jUATyaiH9J1Y0R0PnqAhQv/GBH9qC56RW71pwD8imrVIKLzSajJvwTgxRpL2AVxlXVDlTy3AthJRE/U5XUieiQRRQD2MfPnAbwR4gqqioF8CsCv5WI0F+nyaQD3q/XycxDrA0R0FoAHmfkvIRTZF+v2bTu/gIDlIjwQTk18HOLa+BaA/wfxmT9QtTEzzwF4DYB/02DrAUiswceHAPyWBknPBfCHkD/kr0D88YY/AzChrqI3Qh9GzPwQJCbxQV33NQAPH+B8fh7A/9Gg8lxu+V8BuBnAtSSpqH8BsXg+BqHhtmVf73Y+VfKw9O5+CYA/IKJvQWiqnwT58/6/RPRtCDXz/9IHVjf8N0gs4gaV7b/p8ncDeCURfQ3iLjJr5ekAriei6yAxoD/R5ZfrGCGoHLBsBPrrgIFARBPMfFI12v8D4DZm/l9rJMuVAN7AzNcsYww7n+2QB9KTez0UNxI0m+sSZj641rIEbCwECyFgUPyiBplvgrg1/mINZTkM4H3UpTBtEfgnPZ8vAvhvm+FhQFqYBrE80jUWJ2ADIlgIAQErCCL6eQCv8xZ/mZlf2237gIC1RHggBAQEBAQACC6jgICAgABFeCAEBAQEBAAID4SAgICAAEV4IAQEBAQEAAD+f+oxzX9VE62HAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_season.pr[-1]-ds_gra_season2.pr[-1]).plot()  # Just checking there are NOT same"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "95c405c5-10d9-4017-b2f6-86567eb50d8c",
+   "metadata": {},
+   "source": [
+    "### 2.5 Hour"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ds_gra_hour = ds.temporal.group_average(\"pr\", freq=\"hour\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2190, 90, 144)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_hour.pr.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
+   "metadata": {},
+   "outputs": [
+    {
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+       "  stroke: currentColor;\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 90, lon: 144)&gt;\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon      (lon) float64 1.25 3.75 6.25 8.75 11.25 ... 351.2 353.8 356.2 358.8</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 90</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc21e1f3-21b5-4b09-a35f-29438ee7745a' class='xr-array-in' type='checkbox' checked><label for='section-fc21e1f3-21b5-4b09-a35f-29438ee7745a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a0406ef6-9a58-4ab1-a35a-6f2456f55634' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0406ef6-9a58-4ab1-a35a-6f2456f55634' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.0 -87.0 -85.0 ... 87.0 89.0</div><input id='attrs-8ddf0da7-0a74-45cf-bd40-2a234e07b449' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ddf0da7-0a74-45cf-bd40-2a234e07b449' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92fdc833-624d-456a-b612-b79d26863788' class='xr-var-data-in' type='checkbox'><label for='data-92fdc833-624d-456a-b612-b79d26863788' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-89., -87., -85., -83., -81., -79., -77., -75., -73., -71., -69., -67.,\n",
+       "       -65., -63., -61., -59., -57., -55., -53., -51., -49., -47., -45., -43.,\n",
+       "       -41., -39., -37., -35., -33., -31., -29., -27., -25., -23., -21., -19.,\n",
+       "       -17., -15., -13., -11.,  -9.,  -7.,  -5.,  -3.,  -1.,   1.,   3.,   5.,\n",
+       "         7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.,  23.,  25.,  27.,  29.,\n",
+       "        31.,  33.,  35.,  37.,  39.,  41.,  43.,  45.,  47.,  49.,  51.,  53.,\n",
+       "        55.,  57.,  59.,  61.,  63.,  65.,  67.,  69.,  71.,  73.,  75.,  77.,\n",
+       "        79.,  81.,  83.,  85.,  87.,  89.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.25 3.75 6.25 ... 356.2 358.8</div><input id='attrs-865cdd8b-0e2e-4f02-a7b5-ca085b4c7261' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-865cdd8b-0e2e-4f02-a7b5-ca085b4c7261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2b704b2-4f02-4060-961c-d518aa3b7201' class='xr-var-data-in' type='checkbox'><label for='data-a2b704b2-4f02-4060-961c-d518aa3b7201' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  1.25,   3.75,   6.25,   8.75,  11.25,  13.75,  16.25,  18.75,  21.25,\n",
+       "        23.75,  26.25,  28.75,  31.25,  33.75,  36.25,  38.75,  41.25,  43.75,\n",
+       "        46.25,  48.75,  51.25,  53.75,  56.25,  58.75,  61.25,  63.75,  66.25,\n",
+       "        68.75,  71.25,  73.75,  76.25,  78.75,  81.25,  83.75,  86.25,  88.75,\n",
+       "        91.25,  93.75,  96.25,  98.75, 101.25, 103.75, 106.25, 108.75, 111.25,\n",
+       "       113.75, 116.25, 118.75, 121.25, 123.75, 126.25, 128.75, 131.25, 133.75,\n",
+       "       136.25, 138.75, 141.25, 143.75, 146.25, 148.75, 151.25, 153.75, 156.25,\n",
+       "       158.75, 161.25, 163.75, 166.25, 168.75, 171.25, 173.75, 176.25, 178.75,\n",
+       "       181.25, 183.75, 186.25, 188.75, 191.25, 193.75, 196.25, 198.75, 201.25,\n",
+       "       203.75, 206.25, 208.75, 211.25, 213.75, 216.25, 218.75, 221.25, 223.75,\n",
+       "       226.25, 228.75, 231.25, 233.75, 236.25, 238.75, 241.25, 243.75, 246.25,\n",
+       "       248.75, 251.25, 253.75, 256.25, 258.75, 261.25, 263.75, 266.25, 268.75,\n",
+       "       271.25, 273.75, 276.25, 278.75, 281.25, 283.75, 286.25, 288.75, 291.25,\n",
+       "       293.75, 296.25, 298.75, 301.25, 303.75, 306.25, 308.75, 311.25, 313.75,\n",
+       "       316.25, 318.75, 321.25, 323.75, 326.25, 328.75, 331.25, 333.75, 336.25,\n",
+       "       338.75, 341.25, 343.75, 346.25, 348.75, 351.25, 353.75, 356.25, 358.75])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c024b611-dee0-4785-84eb-b2ab8f18acd6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c024b611-dee0-4785-84eb-b2ab8f18acd6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'pr' (lat: 90, lon: 144)>\n",
+       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.],\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
+       "Coordinates:\n",
+       "  * lat      (lat) float64 -89.0 -87.0 -85.0 -83.0 -81.0 ... 83.0 85.0 87.0 89.0\n",
+       "  * lon      (lon) float64 1.25 3.75 6.25 8.75 11.25 ... 351.2 353.8 356.2 358.8"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds_gra_hour.pr[0] - ds.pr[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "c48c0ef6-3819-40fe-8cd0-d8df3b451827",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x1646fcf40>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "(ds_gra_hour.pr[-1]-ds.pr[-1]).plot()  # Just checking there ARE same"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90837e4d-80b9-4829-81dc-cc58fb995df2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/devel_test/temporal_average.ipynb b/devel_test/temporal_average_monthly.ipynb
similarity index 83%
rename from devel_test/temporal_average.ipynb
rename to devel_test/temporal_average_monthly.ipynb
index e866748..3ddd11e 100644
--- a/devel_test/temporal_average.ipynb
+++ b/devel_test/temporal_average_monthly.ipynb
@@ -11,7 +11,7 @@
     "- XCDAT is source-installed from branch `feature/201-temporal-mean`\n",
     "- PR: https://github.com/xCDAT/xcdat/pull/236\n",
     "\n",
-    "## Load test data"
+    "## Load test data -- monthly, 1850-2005"
    ]
   },
   {
@@ -440,10 +440,10 @@
        "    cell_methods:      time: mean\n",
        "    cell_measures:     area: areacella\n",
        "    history:           2012-01-17T03:16:09Z altered by CMOR: replaced missing...\n",
-       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c1daebe7-77b6-4c5c-b058-cd01b3748ba5' class='xr-array-in' type='checkbox' checked><label for='section-c1daebe7-77b6-4c5c-b058-cd01b3748ba5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-2ef6ef2d-08c0-44c8-a754-5b3a4811225d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ef6ef2d-08c0-44c8-a754-5b3a4811225d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-d873df70-4965-4ff8-9015-5451ec2e03b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d873df70-4965-4ff8-9015-5451ec2e03b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f41f30f-133f-48fc-818f-9aaf650011df' class='xr-var-data-in' type='checkbox'><label for='data-4f41f30f-133f-48fc-818f-9aaf650011df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
+       "    associated_files:  baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-79a4a0b7-d654-448e-903a-b73e1cc18b5b' class='xr-array-in' type='checkbox' checked><label for='section-79a4a0b7-d654-448e-903a-b73e1cc18b5b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[52116480 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-406fab4a-2f5b-43d7-89fd-3dff39ec2dd2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-406fab4a-2f5b-43d7-89fd-3dff39ec2dd2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-070ec4c1-c56a-4b0d-848c-f1f2661352e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-070ec4c1-c56a-4b0d-848c-f1f2661352e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b62839f7-f66e-43a1-a929-2b52e32876cf' class='xr-var-data-in' type='checkbox'><label for='data-b62839f7-f66e-43a1-a929-2b52e32876cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
        "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-a9e3512b-e322-486f-bff1-6e9e3608c22c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9e3512b-e322-486f-bff1-6e9e3608c22c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd1322e5-bb11-4f3b-952e-2be0d1ebac15' class='xr-var-data-in' type='checkbox'><label for='data-dd1322e5-bb11-4f3b-952e-2be0d1ebac15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-68e7d5c7-9948-4395-8c4b-4386a72e8d68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68e7d5c7-9948-4395-8c4b-4386a72e8d68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9f528fa-2fe6-4a96-b3d5-a184cb228fd5' class='xr-var-data-in' type='checkbox'><label for='data-b9f528fa-2fe6-4a96-b3d5-a184cb228fd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -459,7 +459,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-05d544c8-3898-4ac9-8e2f-f6f6cf74cb4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05d544c8-3898-4ac9-8e2f-f6f6cf74cb4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-955dce3d-948a-446d-8c5a-2d711c729de0' class='xr-var-data-in' type='checkbox'><label for='data-955dce3d-948a-446d-8c5a-2d711c729de0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-ac3ac245-2649-4011-ba22-4c6ab00e8406' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac3ac245-2649-4011-ba22-4c6ab00e8406' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2312919-82fd-4a37-8e2d-fb6b76ba59c3' class='xr-var-data-in' type='checkbox'><label for='data-a2312919-82fd-4a37-8e2d-fb6b76ba59c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -482,7 +482,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47a48d3f-eb09-48e9-bc4d-4fad98960574' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47a48d3f-eb09-48e9-bc4d-4fad98960574' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-69b7416d-eba0-4ac6-ad36-ab6d6d8c2cdf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69b7416d-eba0-4ac6-ad36-ab6d6d8c2cdf' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (time: 1872, lat: 145, lon: 192)>\n",
@@ -945,7 +945,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7a5acba7-2ca9-410e-879c-fefd7880e0c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a5acba7-2ca9-410e-879c-fefd7880e0c4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ac48e065-29b4-436e-bda0-10eea890aa50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac48e065-29b4-436e-bda0-10eea890aa50' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-53666c22-55ef-4c10-9615-f647a7140998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53666c22-55ef-4c10-9615-f647a7140998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e071b1a-21a0-40d1-a81a-498773f67264' class='xr-var-data-in' type='checkbox'><label for='data-6e071b1a-21a0-40d1-a81a-498773f67264' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f70ef189-037f-4b82-b062-4239f02488c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f70ef189-037f-4b82-b062-4239f02488c4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f791d3e6-6654-42f3-9ef0-557957a16b53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f791d3e6-6654-42f3-9ef0-557957a16b53' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-a5f31dab-9993-4bed-aeb2-acd91868d7d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5f31dab-9993-4bed-aeb2-acd91868d7d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cf5f65c-72c9-4600-a7c6-f4dc641e8013' class='xr-var-data-in' type='checkbox'><label for='data-1cf5f65c-72c9-4600-a7c6-f4dc641e8013' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -961,7 +961,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-21c5c021-2045-4182-ae70-b1fee154277d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21c5c021-2045-4182-ae70-b1fee154277d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b19b689d-9767-4033-a619-14e231054175' class='xr-var-data-in' type='checkbox'><label for='data-b19b689d-9767-4033-a619-14e231054175' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-800e7512-44dc-4c1f-b2c0-b2f13c60aacf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-800e7512-44dc-4c1f-b2c0-b2f13c60aacf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4687264c-132b-41cb-8c79-0a704ea0c589' class='xr-var-data-in' type='checkbox'><label for='data-4687264c-132b-41cb-8c79-0a704ea0c589' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -984,19 +984,19 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a572d1c4-95a2-4807-b31f-3bbce948b682' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a572d1c4-95a2-4807-b31f-3bbce948b682' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46dcab4d-c338-446f-b418-534a6861248e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46dcab4d-c338-446f-b418-534a6861248e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf79f40b-6066-42e3-b84c-00320e2d1f0d' class='xr-var-data-in' type='checkbox'><label for='data-bf79f40b-6066-42e3-b84c-00320e2d1f0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91b10566-e99f-4ee3-bd21-b784be06aa0e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-91b10566-e99f-4ee3-bd21-b784be06aa0e' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71bbc002-7e59-4d72-8390-d429fa3462ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-71bbc002-7e59-4d72-8390-d429fa3462ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a88284c-c83a-4551-87ac-7603cdf87330' class='xr-var-data-in' type='checkbox'><label for='data-0a88284c-c83a-4551-87ac-7603cdf87330' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b58d551-cfd4-47fd-9376-50f7817da743' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b58d551-cfd4-47fd-9376-50f7817da743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf366ea1-6fa6-451b-a476-5110d2b09191' class='xr-var-data-in' type='checkbox'><label for='data-cf366ea1-6fa6-451b-a476-5110d2b09191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21ae224f-c048-483f-a46f-46a22cdc3e23' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21ae224f-c048-483f-a46f-46a22cdc3e23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-071cf9d0-eef3-4a39-bdcd-8621faddc0d6' class='xr-var-data-in' type='checkbox'><label for='data-071cf9d0-eef3-4a39-bdcd-8621faddc0d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-a4307da5-2cbc-4b90-96eb-3fd0cf406df1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4307da5-2cbc-4b90-96eb-3fd0cf406df1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c205ecf0-6f54-4319-83d2-5d18953178de' class='xr-var-data-in' type='checkbox'><label for='data-c205ecf0-6f54-4319-83d2-5d18953178de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>average</dd><dt><span>freq :</span></dt><dd>month</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>224.6 224.6 224.6 ... 253.8 253.8</div><input id='attrs-cf36bc8c-a5c7-46f7-96ba-24012027d154' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf36bc8c-a5c7-46f7-96ba-24012027d154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3202885c-9e42-448e-9c64-0dc5c4597773' class='xr-var-data-in' type='checkbox'><label for='data-3202885c-9e42-448e-9c64-0dc5c4597773' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>surface_temperature</dd><dt><span>long_name :</span></dt><dd>Surface Temperature</dd><dt><span>comment :</span></dt><dd>&quot;&quot;skin&quot;&quot; temperature (i.e., SST for open ocean)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2012-01-17T03:16:09Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_ACCESS1-0_historical_r0i0p0.nc areacella: areacella_fx_ACCESS1-0_historical_r0i0p0.nc</dd><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>average</dd><dt><span>freq :</span></dt><dd>month</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[224.63190177, 224.63190177, 224.63190177, ..., 224.63190177,\n",
        "        224.63190177, 224.63190177],\n",
        "       [228.32156131, 228.26436586, 228.20520529, ..., 228.48919971,\n",
        "        228.43403387, 228.37894071],\n",
@@ -1008,7 +1008,7 @@
        "       [254.19129091, 254.20466136, 254.21739569, ..., 254.14740382,\n",
        "        254.15849709, 254.17515679],\n",
        "       [253.78937694, 253.78937694, 253.78937694, ..., 253.78937694,\n",
-       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df76a81f-c740-45f5-bdd8-139add4f6ce9' class='xr-section-summary-in' type='checkbox'  ><label for='section-df76a81f-c740-45f5-bdd8-139add4f6ce9' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "        253.78937694, 253.78937694]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcfe2675-2d34-48cb-8f5f-9ac38dd400f3' class='xr-section-summary-in' type='checkbox'  ><label for='section-dcfe2675-2d34-48cb-8f5f-9ac38dd400f3' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1055,7 +1055,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15b54c610>"
+       "<matplotlib.collections.QuadMesh at 0x1645a52b0>"
       ]
      },
      "execution_count": 11,
@@ -1106,7 +1106,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15b6d7bb0>"
+       "<matplotlib.collections.QuadMesh at 0x16472bf70>"
       ]
      },
      "execution_count": 13,
@@ -1178,7 +1178,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15b7b9910>"
+       "<matplotlib.collections.QuadMesh at 0x16480dc10>"
       ]
      },
      "execution_count": 16,
@@ -1199,7 +1199,7 @@
     }
    ],
    "source": [
-    "(ds_ave_month.ts - ds_ave_month_center.ts).plot()"
+    "(ds_ave_month.ts - ds_ave_month_center.ts).plot()  # Just checking there ARE same"
    ]
   },
   {
@@ -1258,7 +1258,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15b9fedf0>"
+       "<matplotlib.collections.QuadMesh at 0x1649d4490>"
       ]
      },
      "execution_count": 19,
@@ -1279,7 +1279,7 @@
     }
    ],
    "source": [
-    "(ds_gra_month.ts[0]-ds.ts[0]).plot()"
+    "(ds_gra_month.ts[0]-ds.ts[0]).plot()  # Just checking there ARE same"
    ]
   },
   {
@@ -1291,7 +1291,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15be05a90>"
+       "<matplotlib.collections.QuadMesh at 0x1649dfe20>"
       ]
      },
      "execution_count": 20,
@@ -1312,7 +1312,7 @@
     }
    ],
    "source": [
-    "(ds_gra_month.ts[-1]-ds.ts[-1]).plot()"
+    "(ds_gra_month.ts[-1]-ds.ts[-1]).plot()  # Just checking there ARE same"
    ]
   },
   {
@@ -1356,23 +1356,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 23,
    "id": "89a13d86-e4d3-409f-b59a-6aeb685217e5",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15bc44910>"
+       "<matplotlib.collections.QuadMesh at 0x164c27e20>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -1384,7 +1384,7 @@
     }
    ],
    "source": [
-    "(ds_gra_month.ts[-1]-ds_gra_year.ts[-1]).plot()  # Just checking there are NOT same"
+    "(ds_gra_year.ts[-1]-ds.ts[-1]).plot()  # Just checking there are NOT same"
    ]
   },
   {
@@ -1397,7 +1397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "id": "c478328f-63fd-4a5a-a323-bd3f54c8db24",
    "metadata": {},
    "outputs": [],
@@ -1407,7 +1407,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "id": "544c53e0-a676-431a-8a72-84b542ed2874",
    "metadata": {},
    "outputs": [
@@ -1417,7 +1417,7 @@
        "(625, 145, 192)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1428,7 +1428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "id": "bdf17235-d9eb-450e-b14d-8a11655a9b2e",
    "metadata": {},
    "outputs": [
@@ -1810,7 +1810,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6b4f3f93-b701-433c-b259-de184e2674cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b4f3f93-b701-433c-b259-de184e2674cf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-202577aa-5fb8-4055-9509-80f46d4bcf91' class='xr-section-summary-in' type='checkbox'  checked><label for='section-202577aa-5fb8-4055-9509-80f46d4bcf91' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-66ec8cf2-04f1-438f-a1cd-c0f052cb2045' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ec8cf2-04f1-438f-a1cd-c0f052cb2045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b99cebdf-55c7-4f4d-9acb-73e0b21ea0f6' class='xr-var-data-in' type='checkbox'><label for='data-b99cebdf-55c7-4f4d-9acb-73e0b21ea0f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d6866288-4082-45fc-ad6b-81ca2824270a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d6866288-4082-45fc-ad6b-81ca2824270a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span class='xr-has-index'>time</span>: 625</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bace03be-6362-479f-ab70-89f480c37933' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bace03be-6362-479f-ab70-89f480c37933' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-44353307-fd49-4e46-ad7e-d10cb46dafce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44353307-fd49-4e46-ad7e-d10cb46dafce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a21ba5a2-7867-41c2-87dc-5772359f5c94' class='xr-var-data-in' type='checkbox'><label for='data-a21ba5a2-7867-41c2-87dc-5772359f5c94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -1826,7 +1826,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-125bb192-f3df-437d-b12d-9c1c586775b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-125bb192-f3df-437d-b12d-9c1c586775b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e96e8a-6f8e-4235-b91f-d957db89d7ef' class='xr-var-data-in' type='checkbox'><label for='data-45e96e8a-6f8e-4235-b91f-d957db89d7ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-454f333b-7fec-4467-b04b-27e8c01b1c69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-454f333b-7fec-4467-b04b-27e8c01b1c69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8a1a1db-a4c1-4fce-b195-82ea63cebe17' class='xr-var-data-in' type='checkbox'><label for='data-b8a1a1db-a4c1-4fce-b195-82ea63cebe17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -1849,22 +1849,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-0fa8ae4b-ef15-4d82-b3a4-e3bd8ade31bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fa8ae4b-ef15-4d82-b3a4-e3bd8ade31bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4517a413-450d-4bd5-ac18-7d80332d4d34' class='xr-var-data-in' type='checkbox'><label for='data-4517a413-450d-4bd5-ac18-7d80332d4d34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-01 ... 2006-01-01</div><input id='attrs-20a5c04d-331e-426f-a142-62366a03c16b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20a5c04d-331e-426f-a142-62366a03c16b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51260df4-d5fe-4c77-9efe-a01349c4fcb8' class='xr-var-data-in' type='checkbox'><label for='data-51260df4-d5fe-4c77-9efe-a01349c4fcb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-01T00:00:00.000000000&#x27;, &#x27;1850-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-07-01T00:00:00.000000000&#x27;, ..., &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-196542b0-fb25-4086-8458-a63870a547fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-196542b0-fb25-4086-8458-a63870a547fe' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65b8d531-de1c-4060-b6bf-31a8d082ecbe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65b8d531-de1c-4060-b6bf-31a8d082ecbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1daf2ef4-1d3d-4b4c-b95f-9d4857eb0222' class='xr-var-data-in' type='checkbox'><label for='data-1daf2ef4-1d3d-4b4c-b95f-9d4857eb0222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-efc65cb9-16d2-4f77-bd95-34e0f6dbcdc9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-efc65cb9-16d2-4f77-bd95-34e0f6dbcdc9' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56df24b5-c0bb-42f0-a8a0-4439175dea1d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56df24b5-c0bb-42f0-a8a0-4439175dea1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-834b384c-82a4-4ee6-a5db-d7f70f9b3a08' class='xr-var-data-in' type='checkbox'><label for='data-834b384c-82a4-4ee6-a5db-d7f70f9b3a08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56709803-e26d-484e-bba4-fe585641b6c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-56709803-e26d-484e-bba4-fe585641b6c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-113a3d03-f058-4f5c-b72c-d2e02c3916d3' class='xr-var-data-in' type='checkbox'><label for='data-113a3d03-f058-4f5c-b72c-d2e02c3916d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb9f542c-14ad-4d64-bf1f-bf9f064a285e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb9f542c-14ad-4d64-bf1f-bf9f064a285e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c819181-c88e-4c50-a44c-33fc0f684a58' class='xr-var-data-in' type='checkbox'><label for='data-8c819181-c88e-4c50-a44c-33fc0f684a58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-84f3fb02-7303-4c7b-8e09-2bff447a9291' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84f3fb02-7303-4c7b-8e09-2bff447a9291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4da7e49c-ae67-42d8-95e2-cab7408998a8' class='xr-var-data-in' type='checkbox'><label for='data-4da7e49c-ae67-42d8-95e2-cab7408998a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>245.8 245.8 245.8 ... 248.2 248.2</div><input id='attrs-b464a8eb-e8d0-4949-bd45-518da09348a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b464a8eb-e8d0-4949-bd45-518da09348a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bf7109b-d2fb-4e1c-86e1-3c7cd556aa3f' class='xr-var-data-in' type='checkbox'><label for='data-1bf7109b-d2fb-4e1c-86e1-3c7cd556aa3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>False</dd></dl></div><div class='xr-var-data'><pre>array([[[245.7746 , 245.7746 , 245.7746 , ..., 245.7746 , 245.7746 ,\n",
        "         245.7746 ],\n",
        "        [247.9249 , 247.88907, 247.8376 , ..., 248.02216, 248.00014,\n",
        "         247.9668 ],\n",
@@ -1904,7 +1904,7 @@
        "        [248.89888, 248.90686, 248.92628, ..., 248.76369, 248.80582,\n",
        "         248.8551 ],\n",
        "        [248.21404, 248.21404, 248.21404, ..., 248.21404, 248.21404,\n",
-       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42e9eea1-1d98-46b4-be3c-f129de593c4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-42e9eea1-1d98-46b4-be3c-f129de593c4e' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         248.21404]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53ce34b6-e500-4c46-9376-26b115d25ad5' class='xr-section-summary-in' type='checkbox'  ><label for='section-53ce34b6-e500-4c46-9376-26b115d25ad5' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -1934,7 +1934,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1945,7 +1945,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "id": "e6f45b58-4a2b-4142-9d4c-49bf2525cb67",
    "metadata": {},
    "outputs": [],
@@ -1956,7 +1956,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "id": "1eca45d6-04a4-40c5-9d52-0c0adaebfb59",
    "metadata": {},
    "outputs": [
@@ -1966,7 +1966,7 @@
        "(623, 145, 192)"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1977,7 +1977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "id": "466297d4-4276-4a2e-b17c-c6d158624f52",
    "metadata": {},
    "outputs": [
@@ -2359,7 +2359,7 @@
        "    parent_experiment:      pre-industrial control\n",
        "    modeling_realm:         atmos\n",
        "    realization:            1\n",
-       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f184943b-fc96-4346-b43d-1c1f2c39c902' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f184943b-fc96-4346-b43d-1c1f2c39c902' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c77b3337-22fd-4967-9761-2acc0c39fe23' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c77b3337-22fd-4967-9761-2acc0c39fe23' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-65ca801b-0187-42fd-97f0-ad2ea4aa9767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65ca801b-0187-42fd-97f0-ad2ea4aa9767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e64d2bc-0190-477e-8014-21fe81a2aceb' class='xr-var-data-in' type='checkbox'><label for='data-6e64d2bc-0190-477e-8014-21fe81a2aceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "    cmor_version:           2.8.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-634ddb3b-9d4f-4703-a71a-6ece5cb849ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-634ddb3b-9d4f-4703-a71a-6ece5cb849ec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>time</span>: 623</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b0f87719-12c9-4509-9290-6fe0c526d7bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0f87719-12c9-4509-9290-6fe0c526d7bb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-236fbc45-e719-4a01-9dc8-dd63b8c40bc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-236fbc45-e719-4a01-9dc8-dd63b8c40bc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cf46a69-2acd-420d-b158-eea0bc65d985' class='xr-var-data-in' type='checkbox'><label for='data-8cf46a69-2acd-420d-b158-eea0bc65d985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -2375,7 +2375,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-435fb709-351b-4a1f-bda3-98bb7ef2b3eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-435fb709-351b-4a1f-bda3-98bb7ef2b3eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed64654b-a023-43dd-b4cd-00d8eaeafbf6' class='xr-var-data-in' type='checkbox'><label for='data-ed64654b-a023-43dd-b4cd-00d8eaeafbf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-02584556-7a54-4e3a-b3a4-89508f6156bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02584556-7a54-4e3a-b3a4-89508f6156bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8381ee-3b6b-4512-b651-92746cfb4a1e' class='xr-var-data-in' type='checkbox'><label for='data-5f8381ee-3b6b-4512-b651-92746cfb4a1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -2398,22 +2398,22 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-b2dbadd1-9401-4a28-9a12-c296797f9dde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2dbadd1-9401-4a28-9a12-c296797f9dde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-733aa883-1675-415b-b8f1-416d55198372' class='xr-var-data-in' type='checkbox'><label for='data-733aa883-1675-415b-b8f1-416d55198372' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-04-01 ... 2005-10-01</div><input id='attrs-60bc19f8-d3a1-4a0a-8d4c-10cec06bd0c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60bc19f8-d3a1-4a0a-8d4c-10cec06bd0c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc144f46-d341-473e-91ae-24ea1cea3803' class='xr-var-data-in' type='checkbox'><label for='data-fc144f46-d341-473e-91ae-24ea1cea3803' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-04-01T00:00:00.000000000&#x27;, &#x27;1850-07-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;1850-10-01T00:00:00.000000000&#x27;, ..., &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
        "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3c9ed9b-160a-4016-8b07-f2898ebe8c71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3c9ed9b-160a-4016-8b07-f2898ebe8c71' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ddef6e41-1664-4996-b6a8-4416d7e60842' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddef6e41-1664-4996-b6a8-4416d7e60842' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ff2d28-91f2-4ba7-93bc-178e681a5465' class='xr-var-data-in' type='checkbox'><label for='data-34ff2d28-91f2-4ba7-93bc-178e681a5465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e4c4c81-e023-4365-bc11-17da1dee316d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e4c4c81-e023-4365-bc11-17da1dee316d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1bf5477b-1f97-4d09-8ab4-07178e850b69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1bf5477b-1f97-4d09-8ab4-07178e850b69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a09bdaa3-d1dc-4daa-afa7-f7136157d8be' class='xr-var-data-in' type='checkbox'><label for='data-a09bdaa3-d1dc-4daa-afa7-f7136157d8be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-90.   , -89.375],\n",
        "       [-89.375, -88.125],\n",
        "       [-88.125, -86.875],\n",
        "       ...,\n",
        "       [ 86.875,  88.125],\n",
        "       [ 88.125,  89.375],\n",
-       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dcddf087-2f09-41bc-a07b-db0253a4c4ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dcddf087-2f09-41bc-a07b-db0253a4c4ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17514c9d-d6d9-4721-b115-c981fae66951' class='xr-var-data-in' type='checkbox'><label for='data-17514c9d-d6d9-4721-b115-c981fae66951' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
+       "       [ 89.375,  90.   ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41cda811-0216-4fca-9c5d-0a5c15aa2f7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41cda811-0216-4fca-9c5d-0a5c15aa2f7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74685fd1-bda0-4d2f-863f-36e3fff8ba0c' class='xr-var-data-in' type='checkbox'><label for='data-74685fd1-bda0-4d2f-863f-36e3fff8ba0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ -0.9375,   0.9375],\n",
        "       [  0.9375,   2.8125],\n",
        "       [  2.8125,   4.6875],\n",
        "       ...,\n",
        "       [353.4375, 355.3125],\n",
        "       [355.3125, 357.1875],\n",
-       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-f4cd97ce-3e19-415c-994c-29874eb344b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4cd97ce-3e19-415c-994c-29874eb344b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dfc332e-a8a7-416e-a348-f0a0bc20ca2c' class='xr-var-data-in' type='checkbox'><label for='data-8dfc332e-a8a7-416e-a348-f0a0bc20ca2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
+       "       [357.1875, 359.0625]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>216.7 216.7 216.7 ... 260.4 260.4</div><input id='attrs-a011cbc4-c38a-4589-bbd9-fa597e141857' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a011cbc4-c38a-4589-bbd9-fa597e141857' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f57b98e-4d06-40a7-ae0e-6adf1da71b3a' class='xr-var-data-in' type='checkbox'><label for='data-4f57b98e-4d06-40a7-ae0e-6adf1da71b3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>operation :</span></dt><dd>temporal_avg</dd><dt><span>mode :</span></dt><dd>group_average</dd><dt><span>freq :</span></dt><dd>season</dd><dt><span>weighted :</span></dt><dd>True</dd><dt><span>center_times :</span></dt><dd>False</dd><dt><span>dec_mode :</span></dt><dd>DJF</dd><dt><span>drop_incomplete_djf :</span></dt><dd>True</dd></dl></div><div class='xr-var-data'><pre>array([[[216.69006, 216.69006, 216.69006, ..., 216.69006, 216.69006,\n",
        "         216.69006],\n",
        "        [221.2711 , 221.17845, 221.0774 , ..., 221.54146, 221.45746,\n",
        "         221.36563],\n",
@@ -2453,7 +2453,7 @@
        "        [260.9766 , 261.02008, 261.06494, ..., 260.78476, 260.81964,\n",
        "         260.9129 ],\n",
        "        [260.44238, 260.44238, 260.44238, ..., 260.44238, 260.44238,\n",
-       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2bf3ff7b-d094-45be-81ea-82fe8e11fb0b' class='xr-section-summary-in' type='checkbox'  ><label for='section-2bf3ff7b-d094-45be-81ea-82fe8e11fb0b' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
+       "         260.44238]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5e7fd5a-0c82-4eec-a41b-f9e2f2c42882' class='xr-section-summary-in' type='checkbox'  ><label for='section-b5e7fd5a-0c82-4eec-a41b-f9e2f2c42882' class='xr-section-summary' >Attributes: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>CSIRO (Commonwealth Scientific and Industrial Research Organisation, Australia), and BOM (Bureau of Meteorology, Australia)</dd><dt><span>institute_id :</span></dt><dd>CSIRO-BOM</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>ACCESS1-0 2011. Atmosphere: AGCM v1.0 (N96 grid-point, 1.875 degrees EW x approx 1.25 degree NS, 38 levels); ocean: NOAA/GFDL MOM4p1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S, 50 levels); sea ice: CICE4.1 (nominal 1.0 degree EW x 1.0 degrees NS, tripolar north of 65N, equatorial refinement to 1/3 degree from 10S to 10 N, cosine dependent NS south of 25S); land: MOSES2 (1.875 degree EW x 1.25 degree NS, 4 levels</dd><dt><span>model_id :</span></dt><dd>ACCESS1-0</dd><dt><span>forcing :</span></dt><dd>GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>109207.0</dd><dt><span>contact :</span></dt><dd>The ACCESS wiki: http://wiki.csiro.au/confluence/display/ACCESS/Home. Contact Tony.Hirst@csiro.au regarding the ACCESS coupled climate model. Contact Peter.Uhe@csiro.au regarding ACCESS coupled climate model CMIP5 datasets.</dd><dt><span>history :</span></dt><dd>CMIP5 compliant file produced from raw ACCESS model output using the ACCESS Post-Processor and CMOR2. 2012-01-17T03:16:09Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>references :</span></dt><dd>See http://wiki.csiro.au/confluence/display/ACCESS/ACCESS+Publications</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>3ba59dfe-51df-471d-ae2f-74959d08bd9f</dd><dt><span>version_number :</span></dt><dd>v20120115</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2012-01-17T03:16:09Z</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) 9c851218e3842df9a62ef38b1e2575bb</dd><dt><span>title :</span></dt><dd>ACCESS1-0 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.8.0</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -2483,7 +2483,7 @@
        "    cmor_version:           2.8.0"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2494,17 +2494,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 30,
    "id": "a696b1c5-5a02-4e2e-80aa-66ba4f2f7a50",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15bc44c10>"
+       "<matplotlib.collections.QuadMesh at 0x164d4e520>"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2535,7 +2535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "id": "ef6ab42f-c91b-4049-bd22-a027db7ea9a1",
    "metadata": {},
    "outputs": [],
@@ -2545,7 +2545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "id": "735e7f9d-c35e-481f-9639-c698acf6618a",
    "metadata": {},
    "outputs": [
@@ -2555,7 +2555,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2566,7 +2566,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "id": "b6bac77b-8a88-4c77-8d26-ee0a2470c05c",
    "metadata": {},
    "outputs": [
@@ -2934,13 +2934,13 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fdc2ba43-4ab3-4991-9b62-58171a122280' class='xr-array-in' type='checkbox' checked><label for='section-fdc2ba43-4ab3-4991-9b62-58171a122280' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-23d054b9-d8e0-4bfc-9bbe-f774df7ca80f' class='xr-array-in' type='checkbox' checked><label for='section-23d054b9-d8e0-4bfc-9bbe-f774df7ca80f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a510637c-4943-48e4-936d-6cd6bca57b83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a510637c-4943-48e4-936d-6cd6bca57b83' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-9aa5fbc6-682c-430d-bbf1-2c9c1f51df7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aa5fbc6-682c-430d-bbf1-2c9c1f51df7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6922e3cc-1243-4c68-8b66-0dafa09fa076' class='xr-var-data-in' type='checkbox'><label for='data-6922e3cc-1243-4c68-8b66-0dafa09fa076' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-dcec337d-95b2-4bbc-a010-82866860cfa6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dcec337d-95b2-4bbc-a010-82866860cfa6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-be621a41-c930-47b1-bcc4-de25a223b26c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be621a41-c930-47b1-bcc4-de25a223b26c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3299aea-be58-4289-8d3e-b5af9cc5bad1' class='xr-var-data-in' type='checkbox'><label for='data-a3299aea-be58-4289-8d3e-b5af9cc5bad1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -2956,7 +2956,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-f629dc94-9b5d-4b00-9799-422ea044b5da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f629dc94-9b5d-4b00-9799-422ea044b5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b88df2a0-c826-4b97-bf26-ccc79e82deeb' class='xr-var-data-in' type='checkbox'><label for='data-b88df2a0-c826-4b97-bf26-ccc79e82deeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-bed5af3d-7ee4-44b2-a32a-4cabbb8db09e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bed5af3d-7ee4-44b2-a32a-4cabbb8db09e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69b892e3-1316-4bba-9a97-8620f3b72d53' class='xr-var-data-in' type='checkbox'><label for='data-69b892e3-1316-4bba-9a97-8620f3b72d53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -2979,7 +2979,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1e54521-3849-4440-9567-8621b027a431' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1e54521-3849-4440-9567-8621b027a431' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-211f6f62-8f7e-4427-8a1d-b2abb9d2d207' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-211f6f62-8f7e-4427-8a1d-b2abb9d2d207' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -2995,28 +2995,28 @@
        "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds_gra_day.ts[0] - ds_gra_month.ts[0]"
+    "ds_gra_day.ts[0] - ds.ts[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 34,
    "id": "878b6b6a-7651-47cf-9618-ae50dfc15e2c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15bac6d90>"
+       "<matplotlib.collections.QuadMesh at 0x1649790a0>"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3034,7 +3034,7 @@
     }
    ],
    "source": [
-    "(ds_gra_day.ts[-1]-ds_gra_month.ts[-1]).plot()  # Just checking there ARE same"
+    "(ds_gra_day.ts[-1]-ds.ts[-1]).plot()  # Just checking there ARE same"
    ]
   },
   {
@@ -3047,7 +3047,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 35,
    "id": "2be8eafa-dd75-4a78-89f7-6792f8a13352",
    "metadata": {},
    "outputs": [],
@@ -3057,7 +3057,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 36,
    "id": "6418c31e-e638-4536-b45d-5d7f32642ba9",
    "metadata": {},
    "outputs": [
@@ -3067,7 +3067,7 @@
        "(1872, 145, 192)"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3078,7 +3078,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 37,
    "id": "e47c850e-72f6-4eb0-8dd7-af5653ca4ffc",
    "metadata": {},
    "outputs": [
@@ -3446,13 +3446,14 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-85b9042d-eb10-4e61-a9d3-1c0d49dc935c' class='xr-array-in' type='checkbox' checked><label for='section-85b9042d-eb10-4e61-a9d3-1c0d49dc935c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "    time     datetime64[ns] 1850-01-16T12:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ts'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 145</li><li><span class='xr-has-index'>lon</span>: 192</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4eb7639d-6e87-4c16-84dd-0802710a2744' class='xr-array-in' type='checkbox' checked><label for='section-4eb7639d-6e87-4c16-84dd-0802710a2744' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       ...,\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
        "       [0., 0., 0., ..., 0., 0., 0.],\n",
-       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-976bf54d-abd3-44a4-8890-4ba8c837c824' class='xr-section-summary-in' type='checkbox'  checked><label for='section-976bf54d-abd3-44a4-8890-4ba8c837c824' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-e11d787a-34ed-4f6d-819e-b72c11fd42e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e11d787a-34ed-4f6d-819e-b72c11fd42e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2b8ee6a-0342-44f0-a919-29dd89795742' class='xr-var-data-in' type='checkbox'><label for='data-a2b8ee6a-0342-44f0-a919-29dd89795742' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
+       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-96e45d7c-00aa-4963-b90b-5cdf30489c1d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96e45d7c-00aa-4963-b90b-5cdf30489c1d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.75 -87.5 ... 88.75 90.0</div><input id='attrs-beb43317-034b-4eff-b661-dfe224dacb27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beb43317-034b-4eff-b661-dfe224dacb27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76cc4ca3-1125-4d23-82b4-7ea74637c64a' class='xr-var-data-in' type='checkbox'><label for='data-76cc4ca3-1125-4d23-82b4-7ea74637c64a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.  , -88.75, -87.5 , -86.25, -85.  , -83.75, -82.5 , -81.25, -80.  ,\n",
        "       -78.75, -77.5 , -76.25, -75.  , -73.75, -72.5 , -71.25, -70.  , -68.75,\n",
        "       -67.5 , -66.25, -65.  , -63.75, -62.5 , -61.25, -60.  , -58.75, -57.5 ,\n",
        "       -56.25, -55.  , -53.75, -52.5 , -51.25, -50.  , -48.75, -47.5 , -46.25,\n",
@@ -3468,7 +3469,7 @@
        "        56.25,  57.5 ,  58.75,  60.  ,  61.25,  62.5 ,  63.75,  65.  ,  66.25,\n",
        "        67.5 ,  68.75,  70.  ,  71.25,  72.5 ,  73.75,  75.  ,  76.25,  77.5 ,\n",
        "        78.75,  80.  ,  81.25,  82.5 ,  83.75,  85.  ,  86.25,  87.5 ,  88.75,\n",
-       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-2bd9a306-eeb3-4f8e-8607-22b63ca9a805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bd9a306-eeb3-4f8e-8607-22b63ca9a805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a9e6aab-dbee-42b2-8c7d-a39286b41fd7' class='xr-var-data-in' type='checkbox'><label for='data-2a9e6aab-dbee-42b2-8c7d-a39286b41fd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
+       "        90.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.875 3.75 ... 356.2 358.1</div><input id='attrs-e16445c3-dc9a-4d63-a4a4-492dfa63cf9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e16445c3-dc9a-4d63-a4a4-492dfa63cf9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2405c4d-c64e-44b0-97b2-dc3a4a7dd451' class='xr-var-data-in' type='checkbox'><label for='data-a2405c4d-c64e-44b0-97b2-dc3a4a7dd451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0.   ,   1.875,   3.75 ,   5.625,   7.5  ,   9.375,  11.25 ,  13.125,\n",
        "        15.   ,  16.875,  18.75 ,  20.625,  22.5  ,  24.375,  26.25 ,  28.125,\n",
        "        30.   ,  31.875,  33.75 ,  35.625,  37.5  ,  39.375,  41.25 ,  43.125,\n",
        "        45.   ,  46.875,  48.75 ,  50.625,  52.5  ,  54.375,  56.25 ,  58.125,\n",
@@ -3491,7 +3492,7 @@
        "       300.   , 301.875, 303.75 , 305.625, 307.5  , 309.375, 311.25 , 313.125,\n",
        "       315.   , 316.875, 318.75 , 320.625, 322.5  , 324.375, 326.25 , 328.125,\n",
        "       330.   , 331.875, 333.75 , 335.625, 337.5  , 339.375, 341.25 , 343.125,\n",
-       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc3620b9-7697-4a6f-939d-ad6b3777b773' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc3620b9-7697-4a6f-939d-ad6b3777b773' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       345.   , 346.875, 348.75 , 350.625, 352.5  , 354.375, 356.25 , 358.125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00</div><input id='attrs-566ee881-1dd7-4f22-9cbe-a123ba3459f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-566ee881-1dd7-4f22-9cbe-a123ba3459f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-209e0a25-c4eb-498d-bd08-5e6e9cf41676' class='xr-var-data-in' type='checkbox'><label for='data-209e0a25-c4eb-498d-bd08-5e6e9cf41676' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;1850-01-16T12:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0977d9a-8a5e-4db6-b39d-742abfea6ba6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d0977d9a-8a5e-4db6-b39d-742abfea6ba6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.DataArray 'ts' (lat: 145, lon: 192)>\n",
@@ -3504,16 +3505,17 @@
        "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)\n",
        "Coordinates:\n",
        "  * lat      (lat) float64 -90.0 -88.75 -87.5 -86.25 ... 86.25 87.5 88.75 90.0\n",
-       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1"
+       "  * lon      (lon) float64 0.0 1.875 3.75 5.625 7.5 ... 352.5 354.4 356.2 358.1\n",
+       "    time     datetime64[ns] 1850-01-16T12:00:00"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "ds_gra_hour.ts[0] - ds_gra_month.ts[0]"
+    "ds_gra_hour.ts[0] - ds.ts[0]"
    ]
   },
   {
@@ -3525,7 +3527,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.QuadMesh at 0x15c7fb8e0>"
+       "<matplotlib.collections.QuadMesh at 0x1648cce50>"
       ]
      },
      "execution_count": 38,
@@ -3534,7 +3536,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -3546,7 +3548,7 @@
     }
    ],
    "source": [
-    "(ds_gra_hour.ts[-1]-ds_gra_month.ts[-1]).plot()  # Just checking there ARE same"
+    "(ds_gra_hour.ts[-1]-ds.ts[-1]).plot()  # Just checking there ARE same"
    ]
   },
   {