俞兆文,刘健文,钟中,黄江平,朱哲.云雨条件下AMSR2微波成像资料同化试验及其在台风预报中的应用.气象科学,2018,(2):203-211 YU Zhaowen,LIU Jianwen,ZHONG Zhong,HUANG Jiangping,ZHU Zhe.Assimilation experiment of AMSR2 microwave imaging data under cloudy and rainy condition and its application on the forecast of a typhoon process.Journal of the Meteorological Sciences,2018,(2):203-211
云雨条件下AMSR2微波成像资料同化试验及其在台风预报中的应用
Assimilation experiment of AMSR2 microwave imaging data under cloudy and rainy condition and its application on the forecast of a typhoon process
投稿时间:2016-11-08  修订日期:2016-12-05
DOI:10.3969/2017jms.0011
中文关键词:  资料同化  AMSR2  云雨条件  台风
英文关键词:Data assimilation  AMSR2  Cloudy and rainy condition  Typhoon
基金项目:装备预研基金项目(9140A22060214JB09006)
作者单位E-mail
俞兆文 31682部队, 兰州 730030
国防科技大学 气象海洋学院, 南京 211101 
 
刘健文 北京航空气象研究所, 北京 100085 bj_weather@qq.com 
钟中 国防科技大学 气象海洋学院, 南京 211101  
黄江平 北京航空气象研究所, 北京 100085  
朱哲 国防科技大学 气象海洋学院, 南京 211101  
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中文摘要:
      采用WRF-ARW和WRFDA的3.8版本进行云雨条件下AMSR2(Advanced Microwave Scanning Radiometer 2)卫星微波成像资料的同化试验,并选择2014年7月第9号台风"威马逊"为研究对象,检验同化云雨条件下的AMSR2资料对台风预报结果的影响。结果表明:(1)云雨条件下的质量控制方案所保留的像元明显多于晴空条件下质量控制方案,且亮温模拟结果更加接近观测;(2)云雨影响的加入使得风场、高度场和海平面气压场的模拟结果好于晴空条件下模拟,且对台风中心有增温、增湿的作用。(3)云雨条件下模拟对台风的路径和强度预报均有改善。
英文摘要:
      The WRF-ARW and WRFDA v3.8 were used to assimilate AMSR2 (Advanced Microwave AMSR2 Scanning Radiometer 2) satellite microwave imaging data under cloudy and rainy condition, and to examine its influence on the forecast of a typhoon called "Wimason" (No.9 in 2014). Results show that:(1) The pixels reserved by the quality control scheme under cloudy and rainy condition are significantly more than these the quality control scheme under clear sky. The simulation results of brightness temperature is closer to observation. (2) After adding the influence of cloudy and rainy,the simulation results of wind field, height field and sea surface pressure are better than those in clear sky, on the other hand, the influence of cloudy and rainy also increases temperature and humidity of Typhoon center. (3) Both the path and intensity of typhoon forecast are improved by the simulation under cloudy and rainy condition.
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