The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States. Gourley, J. J., Flamig, Z. L., Vergara, H., Kirstetter, P., Clark, R. A., Argyle, E., Arthur, A., Martinaitis, S., Terti, G., Erlingis, J. M., Hong, Y., & Howard, K. W. Bulletin of the American Meteorological Society, 98(2):361–372, February, 2017. Publisher: American Meteorological Society Section: Bulletin of the American Meteorological Society![The FLASH Project: Improving the Tools for Flash Flood Monitoring and Prediction across the United States [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex \textlesssection class="abstract"\textgreater\textlessh2 class="abstractTitle text-title my-1" id="d1459e2"\textgreaterAbstract\textless/h2\textgreater\textlessp\textgreaterThis study introduces the Flooded Locations and Simulated Hydrographs (FLASH) project. FLASH is the first system to generate a suite of hydrometeorological products \textlessem\textgreaterat flash flood scale in real-time across the conterminous United States\textless/em\textgreater, 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.\textless/p\textgreater\textlessp\textgreaterThis 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.\textless/p\textgreater\textless/section\textgreater
@article{gourley_flash_2017,
title = {The {FLASH} {Project}: {Improving} the {Tools} for {Flash} {Flood} {Monitoring} and {Prediction} across the {United} {States}},
volume = {98},
issn = {0003-0007, 1520-0477},
shorttitle = {The {FLASH} {Project}},
url = {https://journals.ametsoc.org/view/journals/bams/98/2/bams-d-15-00247.1.xml},
doi = {10.1175/BAMS-D-15-00247.1},
abstract = {{\textless}section class="abstract"{\textgreater}{\textless}h2 class="abstractTitle text-title my-1" id="d1459e2"{\textgreater}Abstract{\textless}/h2{\textgreater}{\textless}p{\textgreater}This study introduces the Flooded Locations and Simulated Hydrographs (FLASH) project. FLASH is the first system to generate a suite of hydrometeorological products {\textless}em{\textgreater}at flash flood scale in real-time across the conterminous United States{\textless}/em{\textgreater}, 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.{\textless}/p{\textgreater}{\textless}p{\textgreater}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.{\textless}/p{\textgreater}{\textless}/section{\textgreater}},
language = {EN},
number = {2},
urldate = {2021-03-20},
journal = {Bulletin of the American Meteorological Society},
author = {Gourley, Jonathan J. and Flamig, Zachary L. and Vergara, Humberto and Kirstetter, Pierre-Emmanuel and Clark, Robert A. and Argyle, Elizabeth and Arthur, Ami and Martinaitis, Steven and Terti, Galateia and Erlingis, Jessica M. and Hong, Yang and Howard, Kenneth W.},
month = feb,
year = {2017},
note = {Publisher: American Meteorological Society
Section: Bulletin of the American Meteorological Society},
pages = {361--372},
}
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