The Earth Prediction Advancement Division works to improve and apply numerical weather prediction models in scales ranging from local to global and from a few hours to seasonal. We develop of state-of-the-art atmospheric physical parameterizations, improve the representation of processes that impact atmospheric composition and their interaction with physical processes, and include all earth domains (atmosphere, land, biosphere, ocean, and sea ice) in our modeling systems. Applications range from forecast impacts of wildfires on air quality and weather conditions to prediction of increased likelihood of excessive precipitation in the lower Mississippi River basin during week 3. We use common infrastructures to collaborate with the broad scientific community with the goal of augmenting scientific understanding and improving NOAA predictions.
EPAD has expertise in:
Division Chief: Georg Grell
Deputy Division Chief: Ligia Bernardet
GSL runs a module of the High-Resolution Rapid Refresh model (based on WRF-Chem) that represents the effects of smoke from wildland fires in air quality and weather.
GSL is also developing a coupled global aerosol forecasting model - FV3-Chem: https://fim.noaa.gov/FV3chem/