Zhao Cuiguang, Zhao Shengrong. The regional objective precipitation forecast in North China and adjacent areas in summer. J Appl Meteor Sci, 2011, 22(5): 558-566.
Citation: Zhao Cuiguang, Zhao Shengrong. The regional objective precipitation forecast in North China and adjacent areas in summer. J Appl Meteor Sci, 2011, 22(5): 558-566.

The Regional Objective Precipitation Forecast in North China and Adjacent Areas in Summer

  • Received Date: 2011-02-16
  • Rev Recd Date: 2011-08-01
  • Publish Date: 2011-10-31
  • North China is one of three major summer rainfall areas in eastern China. Precipitation over North China shows the characteristics of obvious emergency and locality. According to the statistics, 80%—90% precipitation occurs in June—August. Sometimes daily precipitation of a rainstorm can account for 50% precipitation amount of that month. Therefore, effective forecast is crucial especially for larger magnitude precipitation. Objective precipitation forecast is a difficult problem in NWP products interpretation at present. Objective precipitation forecast models are always established station by station, but larger magnitude precipitation is rare event for individual station. It is difficult to establish an effective forecast equation for an individual station. Precipitation intensity, spatial and temporal distribution over North China has its own particularity. Due to the regional characteristic, it is difficult to summarize in one model. Objective partitioning can be used in establishment of precipitation forecast model. Similar samples in the weather region are combined together. Regional forecast model is more stable than single-station forecast model, as the number of large-class precipitation samples increases.Seven weather divisions for summer precipitation over North China and adjacent areas are developed through Rotated Empirical Orthogonal Function (REOF) method, defined by the large contours of the seven REOF models. Objective precipitation forecast is based on probability regression precipitation categorical forecast. First, original precipitation is converted to 0 and 1 corresponding categories, and then forecast equations of different categories are developed to calculate each criterions. In real forecasting, the categorical precipitation will be determined through the criterion and the probability forecast of that category. Based on the daily precipitation data of station and T213 NWP products during the summer of 2006—2008, precipitation forecast model over North China and adjacent is established, which covers the domain (32°—42°N, 110°—124°E), including a total of 703 weather stations. Precipitation experiment is carried out for the summer of 2009 and 2010, and analysis of the forecast result indicates that regional method is better than single station method, especially for heavy precipitation. Regional model handles more factors than the single station model, so regional model makes a better prediction. Comparing to model direct forecast, regional forecast result is better, which reduces empty report obviously.
  • Fig. 1  Precipitation regional division over North China and adjacent areas during summer

    Fig. 2  TS score (a), fault-hitting rate (b), not-hitting rate (c), forecast bias (d) averaged by M1 and M2 in North China and adjacent areas during the summer of 2009 and 2010

    Fig. 3  TS score (a), fault-hitting rate (b) and not-hitting rate (c) averaged by M2 and DMO in North China and adjacent areas during the summer of 2009 and 2010

    Fig. 4  36-hour (a) and 60-hour (b) forecasts averaged during 16—20 August in 2010

    Fig. 5  24-hour rainfall in-situ on 20 August 2010(a) and corresponding 36-hour forecasts on 18 August 2010 of M1(b), M2(c), DMO (d)

    Table  1  Predictors statistic of single-station method

    序号 小雨 中雨 大雨 暴雨
    1 850 hPa Ky指数 850 hPa Ky指数 850 hPa Ky指数 80 hPa经向风的e指数
    2 600 hPa x方向的水汽通量 700 hPa经向风的e指数 700 hPa经向风的e指数 850 hPa Ky指数
    3 200~400 hPa平均
    相对湿度垂直累积量
    700 hPa Ky指数 500 hPa湿位涡倾斜发展判据 850 hPa纬向风的立方
    4 850 hPa温度的水平梯度 400 hPa比湿的立方 1000 hPa湿位涡倾斜发展判据 700 hPa经向风的e指数
    5 500 hPa x方向的水汽通量 600 hPa位涡垂直项 400 hPa湿位涡倾斜发展判据 150 hPa经向风的e指数
    6 500 hPa 3时次平均相对湿度 500 hPa y方向的水汽通量 400 hPa比湿的立方 250 hPa湿位涡倾斜发展判据
    7 850 hPa A指数 850 hPa位涡垂直项 925 hPa湿位涡倾斜发展判据 1000 hPa湿位涡倾斜发展判据
    8 850 hPa位涡垂直项 700 hPa比湿的立方 850 hPa湿位涡倾斜发展判据 925 hPa湿位涡倾斜发展判据
    9 600 hPa 3时次最大相对湿度 500 hPa x方向的水汽通量 700 hPa Ky指数 500 hPa湿位涡倾斜发展判据
    10 700 hPa Ky指数 850 hPa涡度平流 250 hPa湿位涡倾斜发展判据 400 hPa湿位涡倾斜发展判据
    DownLoad: Download CSV

    Table  2  redictor statistic of regional method

    序号 小雨 中雨 大雨 暴雨
    1 600 hPa比湿 600 hPa比湿 850 hPa Ky指数 500 hPa y方向的水汽通量
    2 850 hPa温度的水平梯度 850 hPa Ky指数 500 hPa y方向的水汽通量 700 hPa比湿的立方
    3 500 hPa 3时次平均相对湿度 500 hPa y方向的水汽通量 850 hPa uy方向的水平梯度 850 hPa Ky指数
    4 200~400 hPa的平均
    相对湿度垂直累积量
    700 hPa Ky指数 600 hPa x方向的水汽通量 850 hPa位涡垂直项
    5 500 hPa比湿的立方 200 hPa与850 hPa之差
    假相当位温垂直差
    400 hPa y方向的水汽通量 400 hPa比湿的立方
    6 1000~850 hPa的平均
    相对湿度垂直累积量
    700 hPa比湿的立方 700 hPa比湿的立方 400 hPa y方向的水汽通量
    7 500 hPa 3时次最大相对湿度 700 hPa y方向的水汽通量 400 hPa比湿的立方 850 hPa uy方向的水平梯度
    8 600 hPa 3时次最大相对湿度 200~400 hPa的平均
    相对湿度垂直累积量
    600 hPa 3时次最大相对湿度 850~1000 hPa的平均
    相对湿度垂直累积量
    9 850 hPa 3时次平均相对湿度 500 hPa比湿的立方 700 hPa y方向的水汽通量 500 hPa与850 hPa厚度平流之差
    10 500 hPa假相当位温 850 hPa温度的水平梯度 600 hPa v风垂直切变 600 hPa x方向的水汽通量
    DownLoad: Download CSV
  • [1]
    赵思雄, 陶祖钰, 孙建华, 等.江流域梅雨锋暴雨机理的分析研究.北京:气象出版社, 2004.
    [2]
    陶诗言.中国之暴雨.北京:科学出版社, 1980.
    [3]
    《华北暴雨》编写组.华北暴雨.北京:气象出版社, 1992.
    [4]
    刘还珠, 郝为, 林孔元, 等. 基于智能计算的多模型气象综合预报//暴雨落区预报实用方法. 北京: 气象出版社, 2000: 30-37.
    [5]
    宋海鸥, 王永红, 顾善齐, 等.应用K指数和TOT指数制作江苏中期降水预报的试验.气象科学, 2002, 22(2):242-246. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX200202015.htm
    [6]
    陈力强, 韩秀君, 张立群.基于MM5模式的站点降水预报释用方法研究.气象科技, 2003, 31(5):268-272. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKJ200305002.htm
    [7]
    赵声蓉, 裴海瑛.客观定量预报中降水的预处理.应用气象学报, 2007, 18(1):21-28. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070104&flag=1
    [8]
    龚佃利, 王以琳, 谢考宪.山东飞机增雨降水区分级预报方法研究.应用气象学报, 2001, 12(增刊):139-145. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=yyqx2001s1017&dbname=CJFD&dbcode=CJFQ
    [9]
    赵声蓉, 赵翠光, 邵明轩.事件概率回归估计与降水等级预报.应用气象学报, 2009, 20(5):521-529. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090502&flag=1
    [10]
    刘还珠, 赵声蓉, 陆志善, 等.国家气象中心气象要素的客观预报——MOS系统.应用气象学报, 2004, 15(2):181-191. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040223&flag=1
    [11]
    黄嘉佑.气象统计分析与预报方法.北京:气象出版社, 1990.
    [12]
    魏凤英.全国夏季降水区域动态权重集成预报试验.应用气象学报, 1999, 10(4):402-409. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19990489&flag=1
    [13]
    周家斌, 张海福, 杨桂英, 等.制作汛期降水集成预报的分区权重法.应用气象学报, 1999, 10(4):428-435. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19990488&flag=1
    [14]
    Mark S A. An overview of the National Weather Service's centralized statistical quantitative precipitation forecast. J Hydrol, 2000, 239(9):306-337. http://www.sciencedirect.com/science/article/pii/S0022169400003619
    [15]
    刘还珠, 肖贤俊.短中期降水温度天气过程区域分布的研究.干旱气象, 2003, 21(3):14-20. http://www.cnki.com.cn/Article/CJFDTOTAL-GSQX200303003.htm
    [16]
    Cattell R B. The Scree Test for the Number of Factors//Multivariate Behavioral Research 1. 1966: 245-276.
  • 加载中
  • -->

Catalog

    Figures(5)  / Tables(2)

    Article views (3423) PDF downloads(1072) Cited by()
    • Received : 2011-02-16
    • Accepted : 2011-08-01
    • Published : 2011-10-31

    /

    DownLoad:  Full-Size Img  PowerPoint