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 and novel satellite data that can ultimately improve ozone predictions in the U.S.