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”.
出处
《大气科学》
CSCD
北大核心
1997年第1期1-9,共9页
Chinese Journal of Atmospheric Sciences
关键词
大气
红外遥感
反演
权重函数
retrieval weighting function Newtonian nonlineariteration
