GPM微波成像仪资料同化对台风“麦德姆”路径预报的影响研究  

Effect of data assimilation of GPM microwave imager on the track forecast of Typhoon Matmo

作　　者：沈菲菲[1,2,4] 闵锦忠 李泓[2] 许冬梅[1,3,4] 邢建勇[5] 束艾青 宋丽欣[1] Shen Feifei;Min Jinzhong;Li Hong;Xu Dongmei;Xing Jianyong;Shu Aiqing;Song Lixin(Key Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and En-vironment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science&Technology,Nanjing 210044,China;Shanghai Typhoon Institute,China Meteorological Ad-ministration,Shanghai 200030,China;The Institute of Atmospheric Environment,China Meteorological Administration,Shenyang 110166,China;Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610225,China;National Marine Environmental Forecasting Center,Beijing 100081,China)

机构地区：[1]南京信息工程大学气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心,江苏南京210044 [2]中国气象局上海台风研究所,上海200030 [3]中国气象局沈阳大气环境研究所,辽宁沈阳110166 [4]高原与盆地暴雨旱涝灾害四川省重点实验室,四川成都610225 [5]国家海洋环境预报中心,北京100081

出　　处：《海洋学报》2021年第10期124-136,共13页

基　　金：国家重点研发计划(2016YFC1401008);国家自然科学基金(G41805016,G41805070);上海台风基金项目(TFJJ202107);上海市优秀学术/技术带头人计划(21XD1404500);高原与盆地暴雨旱涝灾害四川省重点实验室开放研究基金(SZKT201901,SZKT201904);中国气象局沈阳大气环境研究所和东北冷涡研究重点开放实验室联合开放基金(2020SYIAE02,2020SYIAE07)。

摘　　要：基于中尺度数值模式WRF及其三维变分同化系统,自主构建了新的探测仪器GMI(Global Precipitation Measurement(GPM)Microwave Imager)的同化模块。本文以2014年太平洋台风季中台风“麦德姆”为例,实现了GMI资料在登陆台风中的有效应用。试验结果表明:晴空条件下GMI资料同化能够对模式背景场中的台风位置进行有效修正。与没有同化该资料的控制试验相比,同化GMI微波成像仪资料可以有效改进台风暖心结构的分析,同时使得台风涡旋环流结构增强,并进而提高了对台风路径的预报水平。The interface of assimilating radiance on a new satellite sensor GMI(Global Precipitation Measurement(GPM)microwave imager)was constructed in the framework of the mesoscale numerical model WRF(Weather Research and Forecasting Model)and its three-dimensional variational assimilation system(3DVAR).The assimilation of GMI radiance data is applied for the typhoon system based on the case of typhoon Matmo in the Pacific typhoon season in 2014 before its landing.The results show that,after assimilating the GMI radiance data under the clear sky condition,the typhoon position in the background of the model is effectively corrected.The GMI data are able to improve the warm core structure of the typhoon when compared with the control experiment without assimilation and enhanced the typhoon vortex circulation structure at the same time.Data assimilating of GMI data further improves the forecast skills of the typhoon track.

关 键 词：WRF模式 GMI微波成像仪资料 三维变分同化 台风 

分 类 号：P457.8[天文地球—大气科学及气象学]