风云静止卫星资料在一次暴雨云分析中的应用  

APPLICATION OF FY STATIONARY SATELLITE DATA IN THE CLOUD ANALYSIS OF A HEAVY RAINFALL

作　　者：李红莉[1,2,3] 崔春光[3] 徐祥德[2] 刘瑞霞[4] 

机构地区：[1]南京信息工程大学,江苏南京210044 [2]中国气象科学研究院,北京100081 [3]暴雨监测预警湖北省重点实验室/中国气象局武汉暴雨研究所,湖北武汉430074 [4]中国气象局中国遥感卫星辐射测量和定标重点开放实验室/国家卫星气象中心,北京100081

出　　处：《热带气象学报》2016年第1期51-62,共12页Journal of Tropical Meteorology

基　　金：国家自然科学基金(41105072;41375057;41375041;41130960);湖北省科技发展基金数值预报专项(2016S02);科技部公益(气象)行业专项(GYHY201406001;GYHY201206076)共同资助

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。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.

关 键 词：LAPS 云分析 卫星 数值模拟 

分 类 号：P456.7[天文地球—大气科学及气象学]