Overview
Meteorological modeling is performed to simulate meteorological conditions, such as wind, temperature, vertical mixing, etc. The Weather Research and Forecasting (WRF) model, a mesoscale numerical weather prediction system that serves both forecasting and atmospheric research needs, is merging existing mesoscale meteorological models into a comprehensive mesoscale meteorological modeling capability. It features multiple dynamical cores, a 3-dimensional variational (3DVAR) data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF can use a broad range of applications across scales ranging from meters to thousands of kilometers.
RENCI is working with various scientist and researchers using the WRF model to help better predict temperature, rainfall amounts, wind strength, and hurricanes. RENCI works with researchers at universities across the state on improving various features of meteorological models, including features that show precipitation that can lead to floods, hurricane modeling and 3DVAR data assimilation.
Overview
Meteorological modeling is performed to simulate meteorological conditions, such as wind, temperature, vertical mixing, etc. The Weather Research and Forecasting (WRF) model, a mesoscale numerical weather prediction system that serves both forecasting and atmospheric research needs, is merging existing mesoscale meteorological models into a comprehensive mesoscale meteorological modeling capability. It features multiple dynamical cores, a 3-dimensional variational (3DVAR) data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF can use a broad range of applications across scales ranging from meters to thousands of kilometers.
RENCI is working with various scientist and researchers using the WRF model to help better predict temperature, rainfall amounts, wind strength, and hurricanes. RENCI works with researchers at universities across the state on improving various features of meteorological models, including features that show precipitation that can lead to floods, hurricane modeling and 3DVAR data assimilation.
Funding
State of North Carolina
Project Team
Ken Galluppi, project leader
Jessica Proud
Partners
Brian Etherton, Department of Geography and Earth Sciences, UNC Charlotte
Gary Lackmann, Department of Marine, Earth, and Atmospheric Sciences, NC State University
Doug Miller, Department of Atmospheric Sciences, UNC Asheville
Aaron Sims, State Climate Office of North Carolina
National Weather Service
