中文摘要：

基于LAPS系统和WRF模式,开展卫星、雷达、探空、地面等多源观测资料融合同化对暴雨过程云结构和模式模拟效果分析研究。介绍了卫星等观测资料在LAPS云分析和湿度分析中的应用方法,根据融合同化观测资料种类设计数值试验方案,研究我国风云卫星资料在LAPS云分析系统中的作用。结果表明,风云静止卫星图像资料的融合可明显改善暴雨过程LAPS云顶高度及总云量等二维云结构分析,并订正中高层及云顶的云量、云水、云冰、云分类等三维云结构的垂直分布,可描述暴雨过程三维云结构的发展演变特征。融合雷达回波资料可调整中低层三维云结构,并分析出雨水和雪等水物质参数。LAPS系统融合同化的观测资料越多,湿度场误差越小,可改进模式对强降水区的模拟,提高降水TS评分。

英文摘要：

Based on LAPS and WRF, the role is studied of multi-source observation data assimilation such as FY stationary satellite data and Doppler radar data in simulation of cloud structure and numerical study of a heavy rainfall. In this study the method of assimilating satellite data in LAPS cloud and humidity analysis is briefly introduced. Numerical experiment schemes are designed to study the role of FY satellite data in LAPS cloud analysis and its influence on model initial fields and forecast according tions. The results are shown as follows. It can greatly improve the analysis such as cloud top and total cloud cover during heavy rainfall events. It can to the types of assimilated observa- of two-dimensional cloud structure help to modify the vertical distribution of three-dimensional cloud structure such as cloud cover, cloud water, cloud ice, cloud type, et al. at the middle-high levels and the cloud top, which can be used to disclose the characteristics of development and evolution of the three-dimensional cloud structure during heavy rain events. By assimilating radar reflectivity data in LAPS cloud analysis the three-dimensional cloud structure at the low and middle levels is modified, and the cloud parameters of rain and snow are derived. The more types of observations are assimilated in LAPS, the less the errors of LAPS humidity are, and the more the precipitation simulation and the TS scores are improved.