Atmospheric Profile Retrieval with AIRS Data and Validation at the ARM CART Site

作     者：吴雪宝 李俊 张文建 王芳 

作者机构：Department of Atmospheric Science Peking University National Satellite Meteorological Center Beijing 100081 Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison Madison WI 53706 National Satellite Meteorological Center 

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

年 卷 期：2005年第22卷第5期

页      面：647-654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] 

基　　金：This research was supported by the Navy MURI Grant N00014-01-1-0850 the 973 Proiect No,2001CB309400 

主　　题：AIRS physical retrieval atmospheric profile and ARM CART site 

摘      要：The physical retrieval algorithm of atmospheric temperature and moisture distribution from the Atmospheric InfraRed Sounder （AIRS） radiances is presented. The retrieval algorithm is applied to AIRS clear-sky radiance measurements. The algorithm employs a statistical retrieval followed by a subsequent nonlinear physical retrieval. The regression coefficients for the statistical retrieval are derived from a dataset of global radiosonde observations （RAOBs） comprising atmospheric temperature, moisture, and ozone profiles. Evaluation of the retrieved profiles is performed by a comparison with RAOBs from the Atmospheric Radiation Measurement （ARM） Program Cloud And Radiation Testbed （CART） in Oklahoma, U. S. A.. Comparisons show that the physically-based AIRS retrievals agree with the RAOBs from the ARM CART site with a Root Mean Square Error （RMSE） of 1K on average for temperature profiles above 850 hPa, and approximately 10% on average for relative humidity profiles. With its improved spectral resolution, AIRS depicts more detailed structure than the current Geostationary Operational Environmental Satellite （GOES） sounder when comparing AIRS sounding retrievals with the operational GOES sounding products.