LAPS同化GPS/PWV资料在暴雨预报中的应用研究
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  • 英文篇名:Assimilation of GPS/PWV Data in LAPS and Its Application in Precipitation Forecasts
  • 作者:张晶 ; 顾松山 ; 楚志刚 ; 付志康
  • 英文作者:ZHANG Jing;GU Songshan;CHU Zhigang;FU Zhikang;School of Atmospheric Physics,Nanjing University of Information Science and Technology;Key Laboratory for Atmospheric Physics and Environment,CMA;Shanghai Meteorological Centre;Wuhan Institute of Heavy Rain,CMA;
  • 关键词:LAPS系统 ; GPS/PWV资料 ; 同化 ; WFR数值预报
  • 英文关键词:LAPS;;GPS precipitable water vapor(PWV);;assimilation;;WRF numerical prediction
  • 中文刊名:QXXX
  • 英文刊名:Meteorological Monthly
  • 机构:南京信息工程大学,大气物理学院;中国气象局大气物理与大气环境重点开放实验室;上海中心气象台;中国气象局武汉暴雨研究所;
  • 出版日期:2014-01-21
  • 出版单位:气象
  • 年:2014
  • 期:v.40;No.469
  • 基金:公益性行业(气象)科研专项(GYHY201106044和GYHY201306010);; 江苏高校优势学科建设工程资助项目(PAPD);; 国家高技术研究发展计划(2012AA120902)共同资助
  • 语种:中文;
  • 页:QXXX201401009
  • 页数:10
  • CN:01
  • ISSN:11-2282/P
  • 分类号:78-87
摘要
利用LAPS(Local Analysis and Prediction System)系统同化GPS(Global Positioning System)/PWV(Precipitable Water Vapor)资料,分析GPS/PWV资料对LAPS输出场的影响,并结合WRF模式,将LAPS输出场作为其初始场进行降水预报,进一步考察GPS/PWV资料对降水预报的作用。选取2009年6月28日湖北地区的一次强降水过程,设计三种方案进行试验。结果表明:同化GPS/PWV资料后对LAPS湿度场有显著的改善,而对高度场及风场的作用则不明显;GPS/PWV资料对区域平均可降水量的影响比雷达资料大一个量级;与此同时,利用多种评分方法对6 h累计降水做了检验,分析结果表明同化GPS/PWV资料能够有效地改进WRF模式的初始场,增加丰富的中小尺度信息,并对随后的确定性预报产生正影响。
        In order to evaluate the improvement of the GPS/PWV data assimilation to the initial humidity field and precipitation forecast field of numerical model,a series of assimilation experiments were performed using the LAPS(Local Analysis and Prediction System) and WRF(Weather Research and Forecasting) model.One heavy rainfall process in Hubei Area was taken as the experimental research object.The result shows that the assimilation of GPS/PWV is effective in reducing the error of PW in the LAPS humidity field,however its impact on potential height and wind fields is not so notable.The impacts of GPS/PWV are greater than radar data by comparing the total precipitable water analyzed by LAPS in different schemes.Different weather forecast scores show that the initial moisture field in WRF is significantly improved by using GPS/PWV data,and the improved moisture field in initial condition leads to positive effect on the forecast of rainfall.
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