Experiment of Doppler Radar Data Assimilation for a Squall Line Process

Using Mesoscale ARPS model and its data analysis system ADAS(ARPS Data Analysis System)which were developed at the Center for Analysis and Prediction of Storms,the University of Oklahoma,six Doppler radars cardinal data were assimilated and comparative experiments were conducted for the squall line process which occurred in central and southern Fujian Province on 22 March 2005.The results showed that ARPS model have a stronger ability to simulate squall line process,radar data assimilation can reduce the strong squall line simulation in time and space errors,ARPS model can improve numerical prediction;using cyclic multiple radar data assimilation techniques,the model is able to improve short-term forecasting of severe convective weather in real-time applications.