Study of Infrared Remote Sensing of the Cloudy Atmosphere and the Inversion Problem. Part I: Theoretical Study
有云时大气红外遥感及其反演问题 I. 理论研究

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.