Vertically Integrated Smoke over the US Graphic

Beyond the “Big-Leaf” Model at NOAA

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…

Image Credit- Authors: Greg Greg Jennrich, David Straus, Muthuvel Chelliah, and Cory Baggett

Ensemble Prediction and Predictability of Extreme Weather via Circulation Regimes

A presentation given at NOAA’s 46th Annual Climate Diagnostics and Prediction Workshop used cluster analysis methods to investigate and forecast circulation regimes impact on weeks 3/4 predictions.  This study demonstrates that the dominant circulation regimes over North America are combinations of teleconnections where the clusters are related to temperature and precipitation anomalies. The computationally efficient…