An integration of satellite observations into hydrological models is crucial for the future development of the National Weather Service (NWS) operational streamflow and flood forecast system. The National Water Model (NWM) is a hydrologic model that simulates current and forecast streamflow over the entire continental United States (CONUS). This task aims at improved understanding of physical processes represented in NWM and future model development. Under thus task, we will investigate the use of the Weather and Research Forecasting Hydrological modeling system (WRF-Hydro), which is the core of the NWM operated by the NOAA’s National Water Center (NWC), in simulating streamflow and major flood events caused by heavy rainfall and snowmelt. Moreover, we will integrate observations into models for a future/proposed NWS operational forecast system for Puerto Rico to improve flash flood guidance for Puerto Rico. This research would include assessing the efficacy and impacts of atmospheric forcings used to drive the NWM for both wet and dry extreme conditions and in monitoring and prediction to inform drought and flood risk management.

Current Student: Engela Staphit (PhD)
Graduated Student: Anthony Bravo (BS)