关键词: WRFGSI预报系统, 资料同化, 雷达径向风, 雷达反射率, 卫星资料

Abstract:

ARW-WRF and GSI 3D-Var methods were used to build a set of operational prediction systems and assimilate Doppler Weather Radar （DWR） reflectivity and velocity, Himawari-8 meteorological satellite AHI data. Regarding problems of data application and forecasting effect of unconventional data, multiple sets of comparative experiments were designed to perform simulation analysis and assessment of data assimilation (DA) results based on a case of severe precipitation process in southern China. The results show that during the heavy precipitation period in the coastal areas of Guangdong on 17-18 July 2017, the system can grasp the scope and intensity of precipitation and the simulation of radar reflectivity. Particularly, the assimilation of satellite data has ability to analyze cloud-water materials and weather process on the sea. Assimilating conventional data, radial velocity, reflectivity, and satellite data can improve simulation tactics such as temperature, wind vector, humidity, and precipitation. However, their prediction results are not absolutely superior to the test of certain types of data.

Key words: WRF-GSI system, data assimilation, radial velocity, radial reflectivity, satellite data