晴空时大气红外遥感及其反演问题I.理论研究  

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

作　　者：李俊[1] 曾庆存[1] 

机构地区：[1]中国科学院大气物理研究所

出　　处：《大气科学》1997年第1期1-9,共9页Chinese Journal of Atmospheric Sciences

摘　　要：本文首先研究了晴空情况下大气温、湿廓线及表层温度等参数的同步反演问题。利用一阶变分原理，从红外辐射传输方程中得到了大气温度、水汽权重函数的解析形式，然后利用牛顿非线性迭代法求解大气温度廓线、大气水汽廓线和表层温度。并从“最佳信息层”的概念出发。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”.

关 键 词：大气 红外遥感 反演 权重函数 

分 类 号：P412.12[天文地球—大气科学及气象学] P407