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5. Hydrofabric

Brad edited this page Oct 24, 2023 · 4 revisions

Background

A hydrofabric is an underlying set of data that is used to create a digital representation of a hydrologic model. The Inundation Mapping hydrofabric represents the fundamental components of the flood inundation mapping (FIM) model. The FIM4 Inundation Mapping hydrofabric is derived from the National Hydrography Dataset - High Resolution. These layers include NWM v2.1 flowlines, catchments, lakes, and streams; USGS 3DEP elevation rasters; the Watershed Boundary Dataset (WBD); the National Levee Database (NLD); USGS gages; RFC forecasting sites (AHPS/NWS); OpenStreetMap coastal boundaries; and GLAHF Great Lakes boundaries.

For more information on these layers, please see the Inundation Mapping Input Data Dictionary.

Crosswalking Between Different Hydrofabrics

The Inundation Mapping FIM4 model produces synthetic rating curves for each catchment/stream segment but does not generate streamflow data. Catchments in the current implementation of Inundation Mapping must be crosswalked to the National Water Model (NWM) hydrofabric in order to generate predictions (this process occurs towards the end of the HAND production process). Crosswalking is the process by which catchments from one hydrofabric (e.g. Inundation Mapping) are spatially and tabularly related to catchments from another hydrofabric (e.g. NWM).

Preprocessing

The Python scripts in the /data code folder can be used to download and preprocess (including reprojection) the Inundation Mapping input data to prepare it for HAND production. If you are interested in downloading the final outputs, please see instructions on the README.

  1. Digital Elevation Models (DEMs): usgs/acquire_and_preprocess_3dep_dems.py - Downloads the USGS 3D Elevation Program (3DEP) elevation rasters from the USGS website and converts them to geotiffs.

  2. Levees and levee-protected areas: nld/levee_download.py - Downloads the National Levee Database (NLD) lines and levee-protected areas polygons from the NLD website and converts them to geopackages.

Please note that these inputs are available on an Amazon S3 Bucket, made available through ESIP. Please refer to the Read Me for instructions on how to access.