FIM-Serve – An automated Python Wrapper for Operational flood modeling across the US
Day 1 Session 1 (10:30 AM)
Presenters:
Anupal Baruah, University of Alabama
Supath Dhital, University of Alabama
The National Oceanic and Atmospheric Administration (NOAA)-Office of Water Prediction’s (OWP) Operational HAND (Height above the nearest drainage) based FIM (Flood Inundation mapping) is a terrain-based flood inundation model that runs using the national water model (NWM) streamflow producing flood inundation maps at the watershed scale. We have developed an automated, open-source, user-friendly, and cloud-enabled Python package (FIM-Serve) to run this operational framework with some additional functionalities for producing FIMs across the country. The framework provides seamless integration of retrospective NWM, forecasted, and recurrence streamflow for flood inundation mapping. It is capable of producing multiple flood rasters simultaneously and offers sub-setting the flood raster based on user-defined polygon or coordinates. The framework also provides a comparison of NWM streamflow with the observed USGS streamflow. The workshop will provide hands-on training to the participants on generating FIM using the OWP operational FIM framework. Participants will learn how to download and extract NWM retrospective and forecast streamflow based on riverIDs , and understand the uncertainty between the NWM streamflow and USGS gauge streamflow used in FIM.
Learning Outcomes:
- Gain knowledge about the OWP HAND-FIM framework
- Learn how to access and use the FIM-Serv tool
- Gain experience in FIM generation and visualization
Prerequisites:
Knowledge:
- Brief understanding of flood inundation modeling
- National Water model streamflow
Hardware/Software:
Accounts: