92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Sunday, 22 January 2012
Using WRF in the San Francisco Bay Area to Predict Critical Fire Weather
Hall E (New Orleans Convention Center )
Rie Onodera, San Jose State University, San Jose, CA; and S. Chiao and C. B. Clements

Remote Automated Weather Stations (RAWS) located at various sites in the San Francisco Bay Area were used to validate the Weather Research and Forecasting (WRF) model's real-time forecasting application run at San Josť State University. Observations of critical fire weather variables, such as relative humidity and wind speeds, were compared with a 1 km grid spacing resolution model run. This work investigates the WRF model's suitability for predicting potentially hazardous wildfire conditions.

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