Description
Hi,
When making an egep call using with get_inv.pl and get_grib.pl the AWS GEFS returns different data to NOMADS.
For example:
:(TMP:850 mb|HGT:500 mb|PRMSL|CSNOW.(surface)|APCP|TMAX.(2 m above ground)|TMIN.(2 m above ground)):
Will download the following variables:
APCPsfc 0,1,0 0,1,8,1 ** surface Total Precipitation [kg/m^2]
CAPE180_0mb 0,108,18000,0 0,7,6 ** 180-0 mb above ground Convective Available Potential Energy [J/kg]
CFRZRsfc 0,1,0 0,1,193,0 ** surface Categorical Freezing Rain [-]
CICEPsfc 0,1,0 0,1,194,0 ** surface Categorical Ice Pellets [-]
CIN180_0mb 0,108,18000,0 0,7,7 ** 180-0 mb above ground Convective Inhibition [J/kg]
CRAINsfc 0,1,0 0,1,192,0 ** surface Categorical Rain [-]
CSNOWsfc 0,1,0 0,1,195,0 ** surface Categorical Snow [-]
DLWRFsfc 0,1,0 0,5,192,0 ** surface Downward Long-Wave Rad. Flux [W/m^2]
DSWRFsfc 0,1,0 0,4,192,0 ** surface Downward Short-Wave Radiation Flux [W/m^2]
HGTprs 12,100 0,3,5 ** (1000 925 850 700 500.. 250 200 100 50 10) Geopotential Height [gpm]
ICETKsfc 0,1,0 10,2,1 ** surface Ice Thickness [m]
LHTFLsfc 0,1,0 0,0,10,0 ** surface Latent Heat Net Flux [W/m^2]
PRESsfc 0,1,0 0,3,0 ** surface Pressure [Pa]
PRMSLmsl 0,101,0 0,3,1 ** mean sea level Pressure Reduced to MSL [Pa]
PWATclm 0,200,0 0,1,3 ** entire atmosphere (considered as a single layer) Precipitable Water [kg/m^2]
RHprs 12,100 0,1,1 ** (1000 925 850 700 500.. 250 200 100 50 10) Relative Humidity [%]
RH2m 0,103,2 0,1,1 ** 2 m above ground Relative Humidity [%]
SHTFLsfc 0,1,0 0,0,11,0 ** surface Sensible Heat Net Flux [W/m^2]
SNODsfc 0,1,0 0,1,11 ** surface Snow Depth [m]
SOILW0_10cm 0,106,0,0.1 2,0,192 ** 0-0.1 m below ground Volumetric Soil Moisture Content [Fraction]
TCDCclm 0,10,0 0,6,1,0 ** entire atmosphere Total Cloud Cover [%]
TMAX2m 0,103,2 0,0,4,2 ** 2 m above ground Maximum Temperature [K]
TMIN2m 0,103,2 0,0,5,3 ** 2 m above ground Minimum Temperature [K]
TMPprs 12,100 0,0,0 ** (1000 925 850 700 500.. 250 200 100 50 10) Temperature [K]
TMP2m 0,103,2 0,0,0 ** 2 m above ground Temperature [K]
TSOIL0_10cm 0,106,0,0.1 2,0,2 ** 0-0.1 m below ground Soil Temperature [K]
UGRDprs 12,100 0,2,2 ** (1000 925 850 700 500.. 250 200 100 50 10) U-Component of Wind [m/s]
UGRD10m 0,103,10 0,2,2 ** 10 m above ground U-Component of Wind [m/s]
ULWRFsfc 0,1,0 0,5,193,0 ** surface Upward Long-Wave Rad. Flux [W/m^2]
ULWRFtoa 0,8,0 0,5,193,0 ** top of atmosphere Upward Long-Wave Rad. Flux [W/m^2]
USWRFsfc 0,1,0 0,4,193,0 ** surface Upward Short-Wave Radiation Flux [W/m^2]
VGRDprs 12,100 0,2,3 ** (1000 925 850 700 500.. 250 200 100 50 10) V-Component of Wind [m/s]
VGRD10m 0,103,10 0,2,3 ** 10 m above ground V-Component of Wind [m/s]
VVEL850mb 0,100,85000 0,2,8 ** 850 mb Vertical Velocity (Pressure) [Pa/s]
WEASDsfc 0,1,0 0,1,13 ** surface Water Equivalent of Accumulated Snow Depth [kg/m^2]
On the NOMADS server the same request will return a much smaller and (I think correct) subset of variables:
APCPsfc 0,1,0 0,1,8,1 ** surface Total Precipitation [kg/m^2]
CSNOWsfc 0,1,0 0,1,195,0 ** surface Categorical Snow [-]
HGT500mb 0,100,50000 0,3,5 ** 500 mb Geopotential Height [gpm]
PRMSLmsl 0,101,0 0,3,1 ** mean sea level Pressure Reduced to MSL [Pa]
TMAX2m 0,103,2 0,0,4,2 ** 2 m above ground Maximum Temperature [K]
TMIN2m 0,103,2 0,0,5,3 ** 2 m above ground Minimum Temperature [K]
TMP850mb 0,100,85000 0,0,0 ** 850 mb Temperature [K]
It seems that egrep regex is not working correctly on the AWS servers.