微波遥感反演降水量算法研究进展

降水量是衡量一个地区在某段时间内降水多少的数据,对了解全球水汽循环具有重要意义。在深入分析基于SSM/I资料的相关算法、基于TRMM卫星微波遥感资料的反演算法和物理廓线法等几种常用降水量微波遥感反演算法的基础上,指出了利用微波遥感反演降水量存在的问题和不确定性因素,为更好地选择反演所用的数据源、优化反演流程和提高反演精度提供了借鉴意义。

Research Progress of the Retrieval Algorithms for Precipitation Based on Microwave Remote Sensing

Precipitation is a measure of that how much the rain is in a region within a period of time,which is very important to understand the global water vapor cycle.The existing problems and uncertain factors of retrieval algorithms for precipitation based on microwave remote sensing is pointed out,after analyzing several common retrieval algorithms for precipitation based on microwave remote sensing throroughly,such as the related algorithms based on SSM/I,the retrieval algorithms based on TRMM satellite microwave sensing data and the methods of phisical profiles.It can also provide reference for the better selection of retrieval data,the optimization of retrieval progress and the improvement of retrieval accuracy.