1. Shu-Hua Chen University of California, Davis eatheresearch & orecasting http://www.wrf-model.org

2. Design for 1-10 km horizontal grids Advanced data assimilation and model physics Accurate and efficient across a broad range of scales Well-suited for both research and operations Community model support Research: Goals: Develop an advanced mesoscale forecast and assimilation system, and accelerate research advances into operations WRF Goals

3. WRF Model Collaborative partnership n Principal Partners: – NCAR Mesoscale and Microscale Meteorology Division – NOAA National Centers for Environmental Prediction – NOAA Forecast Systems Laboratory – OU Center for the Analysis and Prediction of Storms – U.S. Air Force Weather Agency – U.S. Naval Research Laboratory – Federal Aviation Administration n Additional Collaborators: – NOAA Geophysical Fluid Dynamics Laboratory – NASA GSFC Atmospheric Sciences Division – NOAA National Severe Storms Laboratory – CAMS Chinese Meteorological Academy – EPA Atmospheric Modeling Division – University Community

4. Highly modular, single source code with plug-compatible modules Transportable and efficient in a massively parallel computing environment. Design priority for high-resolution (nonhydrostatic) applications Advanced data assimilation systems developed in tandem with the model itself. Numerous physics options, tapping into the experience of the full modeling community. Maintained and supported as a community mesoscale model to facilitate broad use in the research community. Research advances will have a direct path to operations. WRF Model Characteristics

5. New KF, YSU, Purdue Lin, 10km Hurricane Isabel (2003) Observed Radar echoWRF simulated Radar echo Courtesy NCAR

6. (First 12-h accumulated rainfall) Hurricane Danny 1997 (MM5 model) Data Assimilation SSM/I Data coverage Without assimilating satellite data Assimilating SSM/I satellite radiances (Special Sensor Microwave Imager)