A PRELIMINARY STUDY ON THE 3DVAR ASSIMILATION OF THE AMSU-A DATA IN SPACE-TIME MULTISCALE ANALYSIS SYSTEM  

作　　者：LIU Rui-xia XIE Yuan-fu LIU Jie 刘瑞霞;谢元富;刘杰(Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite,China Meteorological Administration;National Satellite Meteorological Center;NOAA Earth System Research Laboratory;China Meteorological Press)

机构地区：[1]Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite, China Meteorological Administration, National Satellite Meteorological Center, Beijing 100081 China [2]NOAA Earth System Research Laboratory, Boulder 80305-3337 USA [3]China Meteorological Press, Beijing 100081 China

出　　处：《Journal of Tropical Meteorology》2017年第3期314-322,共9页热带气象学报（英文版）

基　　金：National Natural Science Foundation of China(41375027,41130960,41275114,41275039);Public Benefit Research Foundation of China Meteorological Administration(GYHY201406001,GYHY201106044);"863"Program(2012AA120903);National Key Research and Development Program of China(2016YFB0502501)

摘　　要：Assimilating satellite radiances into Numerical Weather Prediction(NWP) models has become an important approach to increase the accuracy of numerical weather forecasting. In this study, the assimilation technique scheme was employed in NOAA's STMAS(Space-Time Multiscale Analysis System) to assimilate AMSU-A radiances data.Channel selection sensitivity experiments were conducted on assimilated satellite data in the first place. Then, real case analysis of AMSU-A data assimilation was performed. The analysis results showed that, following assimilating of AMSU-A channels 5-11 in STMAS, the objective function quickly converged, and the channel vertical response was consistent with the AMSU-A weighting function distribution, which suggests that the channels can be used in the assimilation of satellite data in STMAS. With the case of the Typhoon Morakot in Taiwan Island in August 2009 as an example, experiments on assimilated and unassimilated AMSU-A radiances data were designed to analyze the impact of the assimilation of satellite data on STMAS. The results demonstrated that assimilation of AMSU-A data provided more accurate prediction of the precipitation region and intensity, and especially, it improved the 0-6h precipitation forecast significantly.Assimilating satellite radiances into Numerical Weather Prediction（NWP） models has become an important approach to increase the accuracy of numerical weather forecasting. In this study, the assimilation technique scheme was employed in NOAA＇s STMAS（Space-Time Multiscale Analysis System） to assimilate AMSU-A radiances data.Channel selection sensitivity experiments were conducted on assimilated satellite data in the first place. Then, real case analysis of AMSU-A data assimilation was performed. The analysis results showed that, following assimilating of AMSU-A channels 5-11 in STMAS, the objective function quickly converged, and the channel vertical response was consistent with the AMSU-A weighting function distribution, which suggests that the channels can be used in the assimilation of satellite data in STMAS. With the case of the Typhoon Morakot in Taiwan Island in August 2009 as an example, experiments on assimilated and unassimilated AMSU-A radiances data were designed to analyze the impact of the assimilation of satellite data on STMAS. The results demonstrated that assimilation of AMSU-A data provided more accurate prediction of the precipitation region and intensity, and especially, it improved the 0-6h precipitation forecast significantly.

关 键 词：MULTIGRID 3DVAR space-time multiscale analysis system numerical experiments 

分 类 号：P434[天文地球—大气科学及气象学]