The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States

Author:

Gourley Jonathan J.1,Flamig Zachary L.2,Vergara Humberto3,Kirstetter Pierre-Emmanuel4,Clark Robert A.2,Argyle Elizabeth5,Arthur Ami3,Martinaitis Steven3,Terti Galateia6,Erlingis Jessica M.2,Hong Yang7,Howard Kenneth W.8

Affiliation:

1. NOAA/National Severe Storms Laboratory, and School of Meteorology, University of Oklahoma, Norman, Oklahoma

2. Cooperative Institute for Mesoscale Meteorological Studies, and NOAA/National Severe Storms Laboratory, and School of Meteorology, University of Oklahoma, Norman, Oklahoma

3. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/National Severe Storms Laboratory, Norman, Oklahoma

4. Advanced Radar Research Center, University of Oklahoma, and NOAA/National Severe Storms Laboratory, Norman, Oklahoma

5. Cooperative Institute for Mesoscale Meteorological Studies, and NOAA/National Severe Storms Laboratory, and School of Industrial and Systems Engineering, University of Oklahoma, Norman, Oklahoma

6. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/National Severe Storms Laboratory, Norman, Oklahoma, and Universite Grenoble, Grenoble, France

7. Advanced Radar Research Center, and School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma

8. NOAA/National Severe Storms Laboratory, Norman, Oklahoma

Abstract

Abstract This study introduces the Flooded Locations and Simulated Hydrographs (FLASH) project. FLASH is the first system to generate a suite of hydrometeorological products at flash flood scale in real-time across the conterminous United States, including rainfall average recurrence intervals, ratios of rainfall to flash flood guidance, and distributed hydrologic model–based discharge forecasts. The key aspects of the system are 1) precipitation forcing from the National Severe Storms Laboratory (NSSL)’s Multi-Radar Multi-Sensor (MRMS) system, 2) a computationally efficient distributed hydrologic modeling framework with sufficient representation of physical processes for flood prediction, 3) capability to provide forecasts at all grid points covered by radars without the requirement of model calibration, and 4) an open-access development platform, product display, and verification system for testing new ideas in a real-time demonstration environment and for fostering collaborations. This study assesses the FLASH system’s ability to accurately simulate unit peak discharges over a 7-yr period in 1,643 unregulated gauged basins. The evaluation indicates that FLASH’s unit peak discharges had a linear and rank correlation of 0.64 and 0.79, respectively, and that the timing of the peak discharges has errors less than 2 h. The critical success index with FLASH was 0.38 for flood events that exceeded action stage. FLASH performance is demonstrated and evaluated for case studies, including the 2013 deadly flash flood case in Oklahoma City, Oklahoma, and the 2015 event in Houston, Texas—both of which occurred on Memorial Day weekends.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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