有云时大气红外遥感及其反演问题──I.理论研究

Study of Infrared Remote Sensing of the Cloudy Atmosphere and the Inversion Problem, Part I: Theoretical Study

我们已经研究了晴空情况下的大气红外遥感及其反演问题。本文对有云情况下的大气红外遥感及其反演问题进行了研究，首先指出国际上通用的处理有云反演的晴空订正法存在误差放大问题，然后提出了３×３相邻视场同步反演法，在该方法中，假定３×３相邻视场具有共同的大气温度廓线和大气水汽廓线，从而使求解方程数增加到９倍，而反演参数只增加有限的几个。

In our previous papers, the retrieval of clear atmospheric parameters from satellite observed infrared radiances was studied. In this paper, the retrieval of the atmospheric temperature profile, moisture profile, surface skin temperature, cloud top pressure and cloud amount from the infrared sounder radiances under the cloudy condition is studied. We assume that the 3 by 3 adjacent fields of view (FOV) have the same atmospheric temperature profile, water vapor mixing ratio profile and cloud height, except the surface skin temperature and cloud amount which have different values in the 9 FOVs. Thus, one atmospheric temperature profile, one moisture profile, 9 surface skin temperatures, one cloud top pressure and 9 cloud amounts are retrieved simultaneously from the 3 by 3 FOV infrared sounder observations. Since the number of equations for retrieval is increased by 9 times, the inversion problem is well conditioned.