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.