Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-4943-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-4943-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 Oct 2020
Model description paper |
| 16 Oct 2020
The Ensemble Framework For Flash Flood Forecasting (EF5) v1.2: description and case study
Zachary L. Flamig
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, 120 David L Boren Blvd, Norman, OK 73072, USA
National Oceanic and Atmospheric Administration's National Severe Storms Laboratory, 120 David L Boren Blvd, Norman, OK 73072, USA
School of Meteorology, University of Oklahoma, Norman, OK, USA
Humberto Vergara
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, 120 David L Boren Blvd, Norman, OK 73072, USA
National Oceanic and Atmospheric Administration's National Severe Storms Laboratory, 120 David L Boren Blvd, Norman, OK 73072, USA
Jonathan J. Gourley
CORRESPONDING AUTHOR
National Oceanic and Atmospheric Administration's National Severe Storms Laboratory, 120 David L Boren Blvd, Norman, OK 73072, USA
School of Meteorology, University of Oklahoma, Norman, OK, USA
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Cited
14 citations as recorded by crossref.
- Spatiotemporal Characteristics of US Floods: Current Status and Forecast Under a Future Warmer Climate Z. Li et al. 10.1029/2022EF002700
- An Adaptive Ensemble Framework for Flood Forecasting and Its Application in a Small Watershed Using Distinct Rainfall Interpolation Methods Y. Xu et al. 10.1007/s11269-023-03489-x
- CREST-VEC: a framework towards more accurate and realistic flood simulation across scales Z. Li et al. 10.5194/gmd-15-6181-2022
- River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al. 10.1080/02626667.2023.2171295
- iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. 10.5194/gmd-16-2915-2023
- The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Z. Li et al. 10.1038/s43247-022-00409-6
- Towards Predicting Flood Event Peak Discharge in Ungauged Basins by Learning Universal Hydrological Behaviors with Machine Learning A. Sanjay Potdar et al. 10.1175/JHM-D-20-0302.1
- Development and Validation of Accumulation Term (Distributed and/or Point Source) in a Finite Element Hydrodynamic Model K. Dresback et al. 10.3390/jmse11020248
- The contribution of typhoon local and remote forcings to storm surge along the Makou-Dahengqin tidal reach of Pearl River Estuary K. Fei et al. 10.1016/j.scitotenv.2023.165592
- Streamflow and surface soil moisture simulation capacity of high-resolution Satellite-derived precipitation estimate datasets: A case study in Xijiang river basin, China K. Fei et al. 10.1016/j.ejrh.2022.101163
- CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction Z. Li et al. 10.1016/j.envsoft.2021.105051
- Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region Z. Li et al. 10.1016/j.envsoft.2022.105450
- Hydrologic evaluation of the global precipitation measurement mission over the U.S.: Flood peak discharge and duration D. Woods et al. 10.1016/j.jhydrol.2023.129124
- A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts M. Chen et al. 10.1016/j.jhydrol.2022.128168
13 citations as recorded by crossref.
- Spatiotemporal Characteristics of US Floods: Current Status and Forecast Under a Future Warmer Climate Z. Li et al. 10.1029/2022EF002700
- An Adaptive Ensemble Framework for Flood Forecasting and Its Application in a Small Watershed Using Distinct Rainfall Interpolation Methods Y. Xu et al. 10.1007/s11269-023-03489-x
- CREST-VEC: a framework towards more accurate and realistic flood simulation across scales Z. Li et al. 10.5194/gmd-15-6181-2022
- River runoff estimation with satellite rainfall in Morocco Y. Tramblay et al. 10.1080/02626667.2023.2171295
- iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. 10.5194/gmd-16-2915-2023
- The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Z. Li et al. 10.1038/s43247-022-00409-6
- Towards Predicting Flood Event Peak Discharge in Ungauged Basins by Learning Universal Hydrological Behaviors with Machine Learning A. Sanjay Potdar et al. 10.1175/JHM-D-20-0302.1
- Development and Validation of Accumulation Term (Distributed and/or Point Source) in a Finite Element Hydrodynamic Model K. Dresback et al. 10.3390/jmse11020248
- The contribution of typhoon local and remote forcings to storm surge along the Makou-Dahengqin tidal reach of Pearl River Estuary K. Fei et al. 10.1016/j.scitotenv.2023.165592
- Streamflow and surface soil moisture simulation capacity of high-resolution Satellite-derived precipitation estimate datasets: A case study in Xijiang river basin, China K. Fei et al. 10.1016/j.ejrh.2022.101163
- CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction Z. Li et al. 10.1016/j.envsoft.2021.105051
- Can re-infiltration process be ignored for flood inundation mapping and prediction during extreme storms? A case study in Texas Gulf Coast region Z. Li et al. 10.1016/j.envsoft.2022.105450
- Hydrologic evaluation of the global precipitation measurement mission over the U.S.: Flood peak discharge and duration D. Woods et al. 10.1016/j.jhydrol.2023.129124
Latest update: 26 Sep 2023
Short summary
The Ensemble Framework For Flash Flood Forecasting (EF5) is used in the US National Weather Service for operational monitoring and short-term forecasting of flash floods. This article describes the hydrologic models supported by the framework and evaluates their accuracy by comparing simulations of streamflow from 2001 to 2011 at 4 366 observation sites with catchments less than 1000 km2. Overall, the uncalibrated models reasonably simulate flash flooding events.
The Ensemble Framework For Flash Flood Forecasting (EF5) is used in the US National Weather...
