The　Capability　of　Atmospheric　Profile　Retrieval　from　Satellite　High　Resolution　Infrared　Sounder　Radiances

作     者：李俊 

作者机构：Cooperative Institute for Meteorological Satellite Studies Space Science and Engineering Center University of Wisconsin-Madison Madison USA Visiting Scientist from the Institute of Atmospheric Physics Chinese Academy of Sciences Beijing CHINA 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：1995年第12卷第2期

页      面：255-258页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0825[工学-航空宇航科学与技术] 

主　　题：Retrieval Newtonian Iteration 

摘      要：A non-linear Newtonian iteration retrieval method has been successfully applied to TIROS-N Operational Vertical Sounder(TOVS) data process and simulated Atmospheric infrared Sounder(AIRS) data ***,the Newtonian iteration procedure starts with a first guess or initial state of atmospheric temperature and water vapor Profiles,in this paper,a climate mean profile and a regression retrieval from radiances were used as the first guess in AIRS data inversion,the Root Mean Square Error(RMSE) of both t6mperature alld water vapor mixing ratio retrievals shows that high vertical resolution and accurate atmospheric t6mperature and water vapor profiles are achieved using either a poor(a climate mean profile) or good(a regression retrieval) first *** illustrates the capability of high resolution iR sounder radiances in atmospheric temperature and moistllre profiles retrieval,which is important when there is no prior information or sample data set of atmospheric temperature and moistllre available.