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AMSR2辐射率资料同化对台风“山神”分析和预报的影响研究
引用本文:杨春,闵锦忠,刘志权.AMSR2辐射率资料同化对台风“山神”分析和预报的影响研究[J].大气科学,2017,41(2):372-384.
作者姓名:杨春  闵锦忠  刘志权
作者单位: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, 南京 210044
基金项目:国家重点基础研究发展计划(973计划)项目2013CB430102,国家自然科学基金41430427,江苏省高校自然科学重大基础研究项目11KJA170001
摘    要:在WRFDA-3DVar(Weather Research and Forecasting model's 3-dimensional variational data assimilation)的框架下,添加了新的探测器AMSR2(Advanced Microwave Scanning Radiometer 2)微波辐射率资料的同化模块,实现了AMSR2辐射率资料在中小尺度同化系统中的有效使用。台风"山神"(Son-Tinh)直接同化AMSR2资料的个例试验结果表明,AMSR2资料可以很好的探测出台风的形态,并且与没有同化该资料的控制试验相比,同化AMSR2辐射率资料可以有效提高模式分析场的质量,进一步提高了台风中心气压,最大风速和台风路径的预报。

关 键 词:微波成像仪    AMSR2  (Advanced  Microwave  Scanning  Radiometer  2)    WRFDA  (Weather  Research  and  Forecasting  model's  Data  Assimilation)    资料同化    台风
收稿时间:2016/1/31 0:00:00

The Impact of AMSR2 Radiance Data Assimilation on the Analysis and Forecast of Typhoon Son-Tinh
YANG Chun,MIN Jinzhong and LIU Zhiquan.The Impact of AMSR2 Radiance Data Assimilation on the Analysis and Forecast of Typhoon Son-Tinh[J].Chinese Journal of Atmospheric Sciences,2017,41(2):372-384.
Authors:YANG Chun  MIN Jinzhong and LIU Zhiquan
Institution:1.Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing 2100442.National Center for Atmospheric Research, Boulder CO 80307
Abstract:A new assimilation module of AMSR2 (Advanced Microwave Scanning Radiometer 2) radiance data was constructed in WRFDA-3DVAR (Weather Research and Forecasting model''s 3-dimensional variational data assimilation). With this module, the impact of AMSR2 assimilation on the analysis and forecast of Typhoon Son-Tinh was evaluated. AMSR2 data is able to detect Son-Tinh''s cloud band pattern. Compared to the experiment without AMSR2 assimilation, AMSR2 assimilation provided a better typhoon structure, and significantly improved the central sea level pressure, maximum wind speed and typhoon track forecasts.
Keywords:Microwave imager  AMSR2  WRFDA  Data assimilation  Typhoon
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