UFS Weather Model Image of moving Nests

 Enhancing high resolution forecasting capability of RRFS-CMAQ

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 by developing high resolution (3-km) anthropogenic emissions based on the US national emissions…

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…