This research focuses on assimilating both S-band (NEXRAD) and X-band weather radar reflectivity and radial velocity measurements into the Weather Research and Forecasting (WRF) model to evaluate the impact of X-band data on improving Quantitative Precipitation Forecast (QPF) accuracy over the San Francisco Bay Area. Two different experiments are conducted: the first will assimilate only NEXRAD measurements, and the second will assimilate both NEXRAD and X-band radar measurements simultaneously. The 3DVAR technique is employed for radar data assimilation, with the North American Mesoscale Forecast System (NAM) providing initial and boundary conditions for the WRF model configured over the AQPI domain.
The study compares QPF from the AQPI-WRF model, which incorporates both S-band and X-band measurements, with QPF from the High-Resolution Rapid Refresh (HRRR) model, where only NEXRAD data is assimilated. The X-band radar network covers the lower altitudes of the AQPI domain, offering precise hydrometeorological data over the study domain. This additional low-altitude information from X-band radars is expected to enhance the initial conditions and forecasting accuracy of the AQPI-WRF model. Available rain gauge data across the AQPI domain will be used for validation. An overview of the assimilation process and detailed QPF evaluation results are presented.
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