A multiscale, hydrometeorological forecast evaluation of national water model forecasts of the May 2018 Ellicott City, Maryland, flood

The NOAA National Water Model (NWM) became operational in August 2016, producing the first ever real-time, distributed, continuous set of hydrologic forecasts over the continental United States (CONUS). This project uses integrated hydrometeorological assessment methods to investigate the utility of the NWM to predict catastrophic flooding associated with an extreme rainfall event that occurred in Ellicott City, Maryland, on 27-28 May 2018. Short-range forecasts (0-18-h lead time) from the NWM version 1.2 are explored, focusing on the quantitative precipitation forecast (QPF) forcing from the High-Resolution Rapid Refresh (HRRR) model and the corresponding NWM streamflow forecast. A comprehensive assessment of multiscale hydrometeorological processes are considered using a combination of object-based, grid-based, and hydrologic point-based verification. Results highlight the benefits and risks of using a distributed hydrologic modeling tool such as the NWM to connect operational CONUS-scale atmospheric forcings to local impact predictions. For the Ellicott City event, reasonably skillful QPF in several HRRR model forecast cycles produced NWM streamflow forecasts in the small Ellicott City basin that were suggestive of flash flood potential. In larger surrounding basins, the NWM streamflow response was more complex, and errors were found to be governed by both hydrologic process representation, as well as forcing errors. The integrated, hydrometeorological multiscale analysis method demonstrated here guides both research and ongoing model development efforts, along with providing user education and engagement to ultimately engender improved flash flood prediction.

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Author Viterbo, Francesca
Mahoney, Kelly
Read, Laura
Salas, Fernando
Bates, Bradford
Elliott, Jason
Cosgrove, Brian
Dugger, Aubrey
Gochis, David
Cifelli, Robert
Publisher UCAR/NCAR - Library
Publication Date 2020-03-23T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:31:58.087998
Metadata Record Identifier edu.ucar.opensky::articles:23584
Metadata Language eng; USA
Suggested Citation Viterbo, Francesca, Mahoney, Kelly, Read, Laura, Salas, Fernando, Bates, Bradford, Elliott, Jason, Cosgrove, Brian, Dugger, Aubrey, Gochis, David, Cifelli, Robert. (2020). A multiscale, hydrometeorological forecast evaluation of national water model forecasts of the May 2018 Ellicott City, Maryland, flood. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7np27pj. Accessed 14 February 2025.

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