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 José 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.