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- W4207023247 abstract "The Named Storm Event Model (NSEM) which includes the atmospheric suite (HWRF 1, HRRR 2, RTMA-URMA 3 and WRF-LES 4) [1], the coupled wave-surge-riverine modeling system (WW3 5-ADCIRC 6-NWM 7) [2,3] and a validation suite has been developed to provide definitive estimates of wind and water variables of major landfalling hurricanes, in compliance with the United States COASTAL Act of 2012. Within this framework, the performance of atmospheric products is evaluated and blended fields are generated on a high-resolution grid, using a master blend recipe. The atmospheric data forces the downstream hydro-coupled component which includes the wave (WAVEWATCH III [4,5]), ocean circulation (ADCIRC) and hydrological models (NWM). These have been coupled using the community-based National Unified Operational Prediction Capability (NUOPC) layer based on the Earth Systems Modeling Framework (ESMF). The wind and hydro products are evaluated against offshore and coastal wave buoys, nearshore water level stations, radars and satellite altimeters, as well as USGS rapid-deployment water level and wave gauges placed in the nearshore regions and overland. The NSEM workflow will be presented at the conference, highlighting the advantages of ESMF in model performance improvement and challenges for upstream atmospheric model blending, model coupling, and validation against observations. 1- HWRF (Hurricane Weather Research and Forecasting) 2- HRRR (High-Resolution Rapid Refresh) 3- RTMA-URMA (Real Time Mesoscale Analysis-UnRestricted Mesoscale Analysis) 4- WRF-LES (Weather Research and Forecasting-Large Eddy Simulation) 5- WAVEWATCH III (WAVE-height, WATer depth and Current Hindcasting) 6- ADCIRC (The ADvanced CIRCulation model) 7- NWM (National Water Model)" @default.
- W4207023247 created "2022-01-26" @default.
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- W4207023247 date "2022-01-21" @default.
- W4207023247 modified "2023-09-23" @default.
- W4207023247 title "The US COASTAL Act, the end-to-end workflow" @default.
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- W4207023247 doi "https://doi.org/10.1002/essoar.10510231.1" @default.
- W4207023247 hasPublicationYear "2022" @default.
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