Doppler radar reflectivity and radial velocity data are added directly to the mesoscale model ARPS (The Advanced Regional Prediction System) in numerical simulation by its data processing system ADAS ( ARPS Data Analysis System). The control experiment, reflectivity assimilated experiment , velocity assimilated experiment, simultaneous assimilation of the two kinds of data, and continuous assimilion experiment at multiple times are included in this study. By simulating one rainstorm process a-round Jiangsu Province, we analyzed the impact of improving the initial field and of getting better forecast results due to the two kinds of radar data added in differernt combinations, and came to the following conclusions;reflectivity and radial velocity data mainly separately adjust the moisture and fields, both the two kinds of radar data assimilated performed better than one kind of radar data added within 2 h. Compared with other assimilative experiments, the predicted wind speed from the multiple times' assimilating experiment with two kinds of radar data was more close to the sounding wind speed, and the predicted rainfall area from this experiment had better relationship with radar product for 3h precipitation, but there was a considerable error of precipitation amount.%利用中尺度预报模式ARPS及其资料分析系统ADAS和三维变分同化系统ARPS3DVAR,直接加入多普勒天气雷达基数据反射率因子和径向速度资料进行数值预报试验.试验包括:控制试验、反射率因子同化试验、径向速度同化试验,两种资料同时同化,多时次连续同化等试验.通过模拟2009年7月7日发生在江苏省附近一次暴雨过程,分析了多普勒天气雷达反射率因子和径向速度资料不同组合的加入对改进模式初始湿度场、风场及预报结果的影响.结果表明:同化雷达反射率因子和径向速度资料,分别对湿度场和风场有显著调整；同时同化两种资料比单独同化在2h内更显优势；多时次连续同时同化两种资料的试验比起其他试验预报的风速更接近探空风速,预报的降水位置与雷达3h累积降水产品较为对应,但降水量的预报仍有偏差.
展开▼
