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Infrared Remote Sensing of Clear Atmosphere and Its Inversion Problem. Part I: Theoretical Study

Li Jun and Zeng Qingcun Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029)  
This paper firstly studies the retrieval of atmospheric temperature profile, moisture profile and surface skin temperature from infrared sounder radiances under the clear condition. One order variational theorem is applied to the infrared Radiative Transfer Equation (RTE) to obtain a successive form of the temperature component weighting function and water vapor mixing ratio component weighting function. Then the Newtonian nonlinear iteration method is applied to the RTE to retrieve the temperature profile, water vapor profile and surface skin temperature from the satellite observed radiances. The two basic characteristics of water vapor retrieval which are different from temperature retrieval are obtained based on the concept of “optimal information level”.
【CateGory Index】: P407
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