Update README.md

README.md

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 Flood inundation mapping software configured to work with the U.S. National Water Model operated and maintained by the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS). This software uses the Height Above Nearest Drainage (HAND) method to generate Relative Elevation Models (REMs), Synthetic Rating Curves (SRCs), and catchment grids, which together are used to produce flood inundation maps (FIM). This repository also includes functionality to generate FIMs as well as tests to evaluate FIM prediction skill.
 
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 ## Dependencies
 
 [Docker](https://docs.docker.com/get-docker/)
 
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 ## Installation
 
 1. Install Docker : [Docker](https://docs.docker.com/get-docker/)
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 4. Change group ownership of repo (needs to be redone when a new file occurs in the repo):
     - Linux: `chgrp -R fim <path/to/repository>`
 
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 ## Configuration
 
 Software is configurable via parameters found in config directory. Copy files before editing and remove "template" pattern from the filename.
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 - `params_calibrated.env`
     - runs calibrated mannings parameters from `mannings_calibrated.json`
 
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 ## Input Data
 
 The following input data sources should be downloaded and preprocessed prior to executing the preprocessing & hydrofabric generation code:
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 **NOTE:** We are currently working on a long-term data sharing solution. Until then, please fill out this [Google form](https://docs.google.com/forms/d/e/1FAIpQLSf4jkg3Fcfgl-zTCeuTzKleiM_5tE5qwwUvVUQrjC9DBa7Ulg/viewform) to notify us that you would like to obtain the AHPS Site Locations NWM Hydrofabric.
 
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 ## Usage
 
 1. Run Docker Container : `docker run --rm -it -v <path/to/data>:/data -v <path/to/repository>:/foss_fim <image_name>:<tag>`
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         i. To run entire domain of available data use one of the `/data/inputs/included_huc[4,6,8].lst` files
     - Outputs can be found under `/data/outputs/<name_your_run>`
 
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 ## Evaluate Inundation Map Performance
 Once the hydrofabric has been generated from fim_run.sh for, evaluation against a benchmark dataset can be performed using binary contingency statistics. One benchmark dataset that can be used for evaluations are Base Level Engineering studies available on the FEMA Base Flood Elevation Viewer. To acquire FEMA datasets go to the FEMA Base Flood Elevation Viewer (https://webapps.usgs.gov/infrm/estbfe/) and download the file geodatabase and depth grids for a HUC. To perform an evaluation a flow forecast file is required and benchmark grids are preprocessed prior to running `run_test_case.py`.
 
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 3. Run hydrologic evaluation (from inside Docker container): `/foss_fim/tests/run_test_case.py -r <fim_run_name/hucID> -b <name_of_test_instance_to_use> -t <test_case_id>`
     - More information can be found by running `/foss_fim/tests/run_test_case.py --help`
 
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 ## Dependencies
 
 Dependencies are managed via [Pipenv](https://pipenv.pypa.io/en/latest/). To add new dependencies, from the projects's top-level directory:
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 If you are on a machine that has a particularly slow internet connection, you may need to increase the timeout of pipenv. To do this simply add `PIPENV_INSTALL_TIMEOUT=10000000` in front of any of your pipenv commands.
 
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 ## Known Issues & Getting Help
 
 Please see the issue tracker on GitHub for known issues and for getting help.
 
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 ## Getting Involved
 
 NOAA's National Water Center welcomes anyone to contribute to the Cahaba repository to improve flood inundation mapping capabilities. Please contact Brad Bates (bradford.bates@noaa.gov) or Fernando Salas (fernando.salas@noaa.gov) to get started.
 
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 ## Open Source Licensing Info
 1. [TERMS](TERMS.md)
 2. [LICENSE](LICENSE)
 
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 ## Credits and References
 1. Office of Water Prediction [(OWP)](https://water.noaa.gov/)
 2. National Flood Interoperability Experiment [(NFIE)](https://web.corral.tacc.utexas.edu/nfiedata/)