热带气象学报2025，Vol.41Issue(4)：575-586,12.DOI:10.16032/j.issn.1004-4965.2025.028
FY-4B云导风资料观测误差分析及其同化应用
Observational Error Analysis and Assimilation Applications of FY-4B Atmospheric Motion Vectors
摘要
Abstract
Fengyun-4B(FY-4B)is the latest generation of China's geostationary meteorological satellite,providing atmospheric motion vector(AMV)data with higher spatial-temporal resolution.To facilitate the application of FY-4B AMV data in numerical models,this study conducts a comparative analysis between FY-4B AMV and FY-4A AMV datasets.First,we analyze the vertical distribution of observation errors and update the default error settings in the Weather Research and Forecasting Model Data Assimilation System(WRFDA).Then,we investigate the impact of AMV data assimilation on the forecast of Typhoon Muifa in 2022.The results indicate that the U and V wind components of the FY-4B AMV data exhibit smaller observational errors overall than those of FY-4A.While assimilating FY-4A AMV data leads to a westward bias in the simulated typhoon track,FY-4B AMV assimilation improves the dynamic structure of the typhoon's core region,enhancing westerly winds in the middle-upper troposphere and producing a more accurate track forecast.FY-4B AMV assimilation demonstrates superior performance in precipitation forecasting compared to FY-4A.关键词
资料同化/FY-4B云导风/观测误差/质量评估/三维变分同化/台风预报Key words
data assimilation/FY-4B Atmospheric Motion Vector/observation error/quality assessment/3D-Var/typhoon forecast分类
天文与地球科学引用本文复制引用
李泽楷,吕志可,解潜,甘茹蕙,皇群博,杨毅,李英华..FY-4B云导风资料观测误差分析及其同化应用[J].热带气象学报,2025,41(4):575-586,12.基金项目
国家自然科学基金项目(42005120) （42005120）
天津市海洋气象重点实验室2023年度开放基金项目(2023TKLOMO1) （2023TKLOMO1）
兰州大学中央高校基本科研业务费专项资金(lzujbky-2023-it34) （lzujbky-2023-it34）
兰州大学中央高校基本科研业务费专项资金(lzujbky-2024-13)共同资助 （lzujbky-2024-13）
