东亚地区气象参数卫星遥感反演理论和方法研究Ⅰ:ISPRM和SRRM

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

  • 摘要: 文中对10a来改进的同步物理反演方法(ISPRM)实践与发展进行了总结。在不违背先验信息和卫星测值之间独立的原则下,所做的改进都是针对这类非适定反演问题的欠定性(under-determinedness)进行的。由适定反演理论知道,正演是反演的基础,又是卫星辐射率测值输入和反演结果输出之间的桥梁。为了获得好的正演,就必须竭尽可能充分利用一切可以使用的先验信息,把非适定反演问题转化成适定的反演问题,从而通过Ridge回归或Bayes反演过程,把先验信息、理论模拟信息和卫星探测信息三者最佳地结合起来,以最大限度减少这类反演问题的欠定性对数值解的影响。

     

    Abstract: A review of ten-year practice developing the ISPRM is given in the hope that some ereative ideas can be drawn from it. The ISPRM stands for the improved simultaneous physical retrieval method (SPRM).The improvement upon the SPRM is associated with the under-determinedness of this ill-posed inverse problem. In the experiment, the precondition is observed that a priori information must be independent of the satellite measurements. The well-posed retrieval theory has told us that the forward process is foundation of the inversion, 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, one must take full advantage of every priori information available. It is necessary to turn the ill-posed inverse problem into the well-posed one, and then apply the Ridge regression or Bayes algorithm to find the optimum combination of the first guess, the theoretical analogue information and the satellite observations. so that the impact of the under-determinedness of this inverse problem to the numerical solution is minimized.

     

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