Blacklist Design of AMDAR Temperature Data and Their Application in the CMA-GFS  

作　　者：WANG Rui-wen HAN Wei TIAN Wei-hong GONG Jian-dong 王瑞文;韩威;田伟红;龚建东(CMA Earth System Modeling and Prediction Centre,Beijing 100081 China;State Key Laboratory of Severe Weather,Beijing 100081 China)

机构地区：[1]CMA Earth System Modeling and Prediction Centre,Beijing 100081 China [2]State Key Laboratory of Severe Weather,Beijing 100081 China

出　　处：《Journal of Tropical Meteorology》2021年第4期368-377,共10页热带气象学报（英文版）

基　　金：National Key R&D Program of China(2018YFC1506205);National Key R&D Program of China(2019YFC1510400)。

摘　　要：Blacklist methods are used in the CMA Global Forecasting System(CMA-GFS)to improve the application of aircraft temperature data to numerical weather prediction in the Northern Hemisphere and the tropics.In this paper,the ERA5 re-analysis data are used to analyze aircraft temperature observation errors of each aircraft and a blacklist is established using pre-quality controls and threshold methods.The blacklist-filtered and blacklisted aircraft temperature data are then applied to the four-dimensional variational assimilation system,respectively,and an assimilation cycle forecast for the period from September 1 to 30,2019 is carried out.The results show an uneven distribution in the global aircraft blacklist data.After the application of the blacklist methods,the RMSE of geopotential height and temperature analysis field decrease in the vertical direction by a maximum of~1.5 gpm at 200 hPa and~0.15 K at 250 hPa,respectively.Overall,the blacklist methods of aircraft temperature data improve the analysis and forecast in the CMA-GFS.

关 键 词：CMA-GFS BLACKLIST AMDAR four-dimensional variational assimilation 

分 类 号：P456.7[天文地球—大气科学及气象学]