MMM In the News

Severe thunderstorm east of Denver, 5/21/14
Founded on an NCAR-based research model, the new High-Resolution Rapid Refresh (HRRR) model will transform how the National Weather Service predicts short-range weather threats.
High-end weather modeling, hour by hour
Nature's roadblock to hurricane prediction
Moving a village
Scientists nearing forecasts of long-lived wildfires
New views of Sandy
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Weather Research & Forecasting

The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational forecasting needs. For the current WRF forecast for today's weather, please click here.

Upcoming Visitors

Steve Conley, University of California, Davis, 2013-Jan-01 (Don Lenschow)
Wenxue Tong, Florida State University, 2013-Jan-01 (Jenny Sun)
Karina Apodaca, Colorado State University, 2013-Feb-04 (Tom Auligne)
Milija Zupanski, Colorado State University, 2013-Feb-04 (Tom Auligne)
Weimin Ma, Jiangyin Meteorological Bureau, 2013-Jun-26 (Zhiquan Liu)
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Events & Seminars

Thursday, March 5, 2015 - 3:30pm
Untangling Microphysical Impacts on Moist Convection Applying a Novel Modeling Methodology
Presenters: Wojciech W. Grabowski
Location: FL2 1022
Sponsoring Group(s): NCAR, MMM
Type of Event: Seminar/Symposium
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Publications

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Evan, A.T., C. Flamant, C. Lavaysse, C. Kocha, and A. Saci, 2015: Water vapor-forced greenhouse warming over the Sahara Desert and the recent recovery from the Sahelian drought. Journal of Climate, 28, 108-123, DOI: 10.1175/JCLI-D-14-00039.1.
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Schwartz, C.S., G. Romine, K. Smith, and M.L. Weisman, 2014: Characterizing and optimizing precipitation forecasts from a convection-permitting ensemble initialized by a mesoscale ensemble Kalman filter. Weather and Forecasting, 29, 1295-1318, DOI: 10.1175/WAF-D-13-00145.1.
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Zhang, X., X.-Y. Huang, J. Liu, J. Poterjoy, Y. Weng, F. Zhang, and H. Wang, 2014: Development of an efficient regional four-dimensional variational data assimilation system for WRF. Journal of Atmospheric and Oceanic Technology, 31, 2777-2794, DOI: 10.1175/JTECH-D-13-00076.1.
More Information.
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