THE STUDY OF RETRIEVAL THEORY AND METHODS FROM SATELLITE REMOTE SENSING FOR METEOROLOGICAL PARAMETERS OVER EASTERN ASIA-PARTI:ISPRM AND SRRM

被引：3

作者：

黎光清 ^{[1
]}

张文建 ^{[1
]}

董超华 ^{[1
]}

张凤英 ^{[1
]}

张丽霞 ^{[1
]}

冉茂农 ^{[1
]}

罗东风 ^{[1
]}

王保华 ^{[1
]}

机构：

[1] National Satellite Meteorological Center.Beijing 100081

来源：

ActaMeteorologicaSinica | 2000年 / 03期

关键词：

simultaneous physical retrieval model(SPRM); statistical regression retrieval model(SRRM).under-determlnedness of ill-posed inverse problem; prior information; well-posed inverse theory; verification;

D O I：

暂无

中图分类号：

P414.4 [气象卫星];

学科分类号：

0706 ; 070601 ;

摘要：

A review of ten-year’s practice in developing the improved simultaneous physical retrievalmethod(ISPRM)is given in the hope that some creative ideas can be drawn from it.Theimprovement upon the SPRM is associated with the under-determinedness of this ill-posed inverseproblem.In our experiment,the precondition is observed that prior information must beindependent of the satellite measurements.The well-posed retrieval theory has told us that theforward process is fundamental for the retrieval,and it is the bridge between the input of satelliteradiance and the output of retrievals.In order to obtain a better result from the forward process.the full advantage of every prior information available must be taken.It is necessary to turn the ill-posed inverse problem into the well-posed one.Then by using the Ridge regression or Bayesalgorithm to find the optimal combination among the first guess,the theoretical analogueinformation and the satellite observations,the impact of the under-determinedness of this inverseproblem on the numerical solution is minimized.

引用

页码：257 / 267

页数：11