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THE STUDY OF RETRIEVAL THEORY AND METHODS FROM SATELLITE REMOTE SENSING FOR METEOROLOGICAL PARAMETERS OVER EASTERN ASIA-PARTI:ISPRM AND SRRM*
Authors:LI Guangqing  ZHANG Wenjian  DONG Chaohu  ZHANG Fengying  ZHANG Lixi  RAN Maonong  LUO Dongfeng and WANG Baohua
Institution:National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081;National Satellite Meteorological Center, Beijing 100081
Abstract:A review of ten-year's practice in developing the improved simultaneous physical retrieval method(ISPRM)is given in the hope that some creative ideas can be drawn from it.The improvement upon the SPRM is associated with the under-determinedness of this ill-posed inverse problem.In our experiment,the precondition is observed that prior information must be independent of the satellite measurements.The well-posed retrieval theory has told us that the forward process is fundamental for the retrieval,and it is the bridge between the input of satellite radiance 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 Bayes algorithm to find the optimal combination among the first guess,the theoretical analogue information and the satellite observations,the impact of the under-determinedness of this inverse problem on the numerical solution is minimized.
Keywords:simultaneous physical retrieval model(SPRM)  statistical regression retrieval model(SRRM)  under-determlnedness of ill-posed inverse problem  prior information  well-posed inverse theory  verification
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