The fire behavior model will largely increase the UFS’s potential to carry out fundamental fire research, provide predictions of the fire evolution, and improve fire weather forecast information.
The Weather Program Office is working with Northeastern University and George Mason University to enhance the high resolution forecasting capability of the National Air Quality Forecast Capability (NAQFC) based on the inline Rapid-Refresh Forecast System (RRFS)- Multiscale Air Quality (CMAQ) model system.
Use of Novel Satellite Data and In-Canopy Processes to Improve U.S. Air Quality Predictions. PI Name & Contact: Patrick Campbell (pcampbe8@gmu.edu; patrick.c.campbell@noaa.gov). The Weather Program Office is working with George Mason University to advance the next-generation Rapid-Refresh Forecast System (RRFS)-Community Multiscale Air Quality (CMAQ) model beyond its “Big-Leaf” canopy approximation by using forest canopy processes…
WPO funds work to advance our understanding of Air Quality and Fire Weather to improve forecasts and warnings for the public. The projects selected in this competition involve the use of machine learning, data assimilation techniques, physics, and post-processing of data to address gaps in the models such as the UFS, create a coupled fire-atmosphere…