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利用卡尔曼滤波校准方法估算区域降水量

尹忠海 张沛源

尹忠海, 张沛源. 利用卡尔曼滤波校准方法估算区域降水量. 应用气象学报, 2005, 16(2): 213-219..
引用本文: 尹忠海, 张沛源. 利用卡尔曼滤波校准方法估算区域降水量. 应用气象学报, 2005, 16(2): 213-219.
Yin Zhonghai, Zhang Peiyuan. Radar rainfall calibration by using the Kalman filter method. J Appl Meteor Sci, 2005, 16(2): 213-219.
Citation: Yin Zhonghai, Zhang Peiyuan. Radar rainfall calibration by using the Kalman filter method. J Appl Meteor Sci, 2005, 16(2): 213-219.

利用卡尔曼滤波校准方法估算区域降水量

资助项目: 

国家自然科学基金面上项目“新一代天气雷达观测数据四维同化的物理基础研究” 40375006

RADAR RAINFALL CALIBRATION BY USING THE KALMAN FILTER METHOD

  • 摘要: 该文根据卡尔曼滤波校准方法估算区域降水量的原理,利用“973”项目野外观测资料对2002年6月22日的一次降水过程进行了试验研究。结果表明:卡尔曼滤波校准方法能提高雷达定量估算区域降水量的精度,并能较好地反映雷达探测到的精细降水场结构;验证了随着观测次数的增加,卡尔曼滤波校准方法估算降水量的精度越来越高。
  • 图  1  雨量计相对于雷达站 (★宜昌) 位置图

    图  2  未订正前雷达估算的域降水场

    图  3  卡尔曼滤波法估算的区域降水场

    图  4  卡尔曼滤波法估算区域降水景随参数的变化

    图  5  卡尔曼滤波法诂算方差随参数的变化

    图  6  区域降水量估算偏差及样品偏差随时间的变化

    图  7  区域降水暈估算方差随时间的变化

    图  8  区域降水量估算值随观测次数变化

  • [1] Thomas T W, Edward A B, Sun Juanzhen, et al. Prediction of a flash flood in complex terrain. Part Ⅰ: A comparison of rainfall estimates from radar, and very short range rainfall simulations from a dynamic model and an automated algorithmic system. J Appl Meteor, 2000, 39(6):797~814. doi:  10.1175/1520-0450(2000)039<0797:POAFFI>2.0.CO;2
    [2] David N Y, Thohas T W, Leavesley G H. Prediction of a flash flood in complex terrain. Part Ⅱ: A comparsion of flood discharge simulation using rainfall input from radar, a dynamic model, and an automated algorithmic system. J Appl Meteor, 2000, 39(6):815~825. doi:  10.1175/1520-0450(2000)039<0815:POAFFI>2.0.CO;2
    [3] Limaye A S, Stellman K. Improving Flood Prediction Using Kalman Filter, Mesoscale Atmospheric Model Forecasts and Radar-based Rainfall Estimates. 16th Conf on Hydrology, Orlando, Florida: AMS, 2002.127~129. https://ams.confex.com/ams/pdfpapers/30978.pdf
    [4] 高山红, 吴增茂, 谢红琴.Kalman滤波在气象数据同化中的发展与应用.地球科学进展, 2000, 15(5):571~575. http://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ200005014.htm
    [5] Hansen J A. Accounting for model error in ensemble-based state estimation and forecasting. Mon Wea Rev, 2002, 130:2373~2391. doi:  10.1175/1520-0493(2002)130<2373:AFMEIE>2.0.CO;2
    [6] Burgers G, Van Leeuwen P J, Evensen G. Analysis scheme in the ensemble Kalman filter. Mon Wea Rev, 1998, 126: 1719~1924. doi:  10.1175/1520-0493(1998)126<1719:ASITEK>2.0.CO;2
    [7] Houtekamer P L, Mitchell H L. Data assimilation using an ensemble Kalman filter technique. Mon Wea Rev, 1998, 126:796~811. doi:  10.1175/1520-0493(1998)126<0796:DAUAEK>2.0.CO;2
    [8] Evensen G, Van Leeuwen P J. Assimilation of Geosat data for the Agulhas current using the ensemble Kalman filter with a quasigeostrophic model. Mon Wea Rev, 1996, 124:85~96. doi:  10.1175/1520-0493(1996)124<0085:AOGADF>2.0.CO;2
    [9] 陆如华, 徐传玉, 张玲, 等.卡尔曼滤波的初值计算方法及其应用.应用气象学报, 1997, 8(1):34~43. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=19970105&flag=1
    [10] 周筱兰, 张礼平.卡尔曼滤波方法在制作长期月平均气温预报中的应用.暴雨·灾害.北京:气象出版社, 1999.
    [11] 卢峰本.卡尔曼滤波在沿海冬半年风力预报中的应用.气象, 2002, 24(3):50~53.
    [12] 张培昌, 杜秉玉, 戴铁丕.雷达气象学.北京:气象出版社, 2001.
    [13] Wilso J W, Brandes E A. Radar measurement of Rainfall-A summary. BAMS, 1979, 60(9):1048~1058. doi:  10.1175/1520-0477(1979)060<1048:RMORS>2.0.CO;2
    [14] Cain D E, Smith P L. Operational Adjustment of Radar Estimated Rainfall with Gage Data: A Statistical Evaluation. Preprints of 17th Radar Meteor Conf, Boston: AMS, 1976.533~538.
    [15] Ahnert P, Hudlow M, Johnson E, et al. Proposed "on-site" Precipitation Processing System for NEXRAD. Preprints of 21st Radar Meteor Conf, Boston: AMS, 1983. 378~385.
    [16] Hudlow M D, Greene D R, Ahnert P R, et al. Proposed Off-site Precipitation Processing System for NEXRAD. Preprints of 21st Radar Meteor Conf, Boston: AMS, 1983.394~403.
    [17] Ahnert P R, Hudlow M D, Johnson E R. Validation of the "on-site" Precipitation Process system for NEXRAD. Preprints of 22nd Radar Meteor Conf, Boston: AMS, 1984.192~201.
    [18] Ahnert P R, Krajewski W F, Johnson E R. Kalman Filter Estimation of Radar-rainfall Field Bias. Preprints of 23rd Radar Meteor Conf, Snowmass: AMS, 1986. JP33~JP37.
    [19] O′Bannon T, Ahnert P. A Study of the Precipitation Processing System on a Winter-type Oklahoma Rainstorm. Preprints of 23rd Radar Meteorology Conf, Boston: AMS, 1986. JP99~JP102.
    [20] Smith J A, Krajewski W F. Estimation of the mean field bias of radar-rainfall estimates. J Appl Meteor, 1991, 30:397~412. doi:  10.1175/1520-0450(1991)030<0397:EOTMFB>2.0.CO;2
    [21] Dah-Syang Lin, Krajewski W F. Recursive Methods of Estimating Radar-rainfall Field Bias. Preprints of 24th Radar Meteor Conf, Boston: AMS, 1987. 648~651.
    [22] Harrison D L, Driscoll S J D, Kitchen M. Improving precipitation estimates from weather radar using quality control and correction techniques.Meteor Appl, 2000, 7(2):135~144. doi:  10.1017/S1350482700001468
    [23] Rodriguez-Iturbe I, Mejia J. The design of rainfall networks in time and space. Water Resources Research, 1974, 10:731~728.
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出版历程
  • 收稿日期:  2003-10-23
  • 修回日期:  2004-02-09
  • 刊出日期:  2005-04-30

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