留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

多普勒天气雷达地物回波特征及其识别方法改进

江源 刘黎平 庄薇

江源, 刘黎平, 庄薇. 多普勒天气雷达地物回波特征及其识别方法改进. 应用气象学报, 2009, 20(2): 203-213..
引用本文: 江源, 刘黎平, 庄薇. 多普勒天气雷达地物回波特征及其识别方法改进. 应用气象学报, 2009, 20(2): 203-213.
Jiang Yuan, Liu Liping, Zhuang Wei. Statistical characteristics of clutter and improvements of ground clutter identification technique with Doppler weather radar. J Appl Meteor Sci, 2009, 20(2): 203-213.
Citation: Jiang Yuan, Liu Liping, Zhuang Wei. Statistical characteristics of clutter and improvements of ground clutter identification technique with Doppler weather radar. J Appl Meteor Sci, 2009, 20(2): 203-213.

多普勒天气雷达地物回波特征及其识别方法改进

资助项目: 

973项目“我国南方致洪暴雨监测与预测的理论和方法研究” 2004CB418305

国家自然科学基金项目 40775021

Statistical Characteristics of Clutter and Improvements of Ground Clutter Identification Technique with Doppler Weather Radar

  • 摘要: 非气象因子会在雷达探测时对雷达资料造成污染,并导致雷达数据的质量问题,在雷达数据应用之前必须对被污染的距离库进行识别和处理。该文在现有基于模糊逻辑识别地物回波工作的基础上,发展适合于我国CINRAD/SA的地物回波识别方法,采用北京和天津雷达2005,2006年夏季部分时段体扫资料,同时对反射率因子和径向速度以及速度谱宽进行处理,得到不同回波的各种特征, 并对各种回波特征进行分析; 考虑到隶属函数的确定是地物识别准确率的关键, 运用CSI (critical success index)评判标准确定了模糊逻辑超折射地物回波识别的最佳线性梯形隶属函数;通过识别效果分析说明该方法在识别超折射地物回波中的作用。结果表明:运用改进后的模糊逻辑法可以更好地识别地物回波, 特别是那些超折射地物回波; 与原方法相比, 改进后的方法有效减少了对降水回波的误判。
  • 图  1  天津SA雷达2005年6月21日12:13(世界时,下同)观测 PPI图(a)回波强度,(b)径向速度,(c)回波分类

    (红色箭头指向为超折射地物回波, 仰角:0.4°,距离圈:50km;CL表示地物, CC为对流云, SC为层状云, CA为晴空回波)

    Fig. 1  PPI of Tianjin rader at 12:13 on June 21, 2005 (a) echo intensity, (b) radial velocity, (c) echo classify

    (red rows point to AP (anomalous propagation) clutter, elevation:0.4°, interval of range circles:50km;CL shows clutter, CC shows convective cloud, SC shows stratiform cloud, CA shows clear-air echoes)

    图  2  各参量的地物、降水概率分布图

    (CL表示地物, CC表示对流云, SC表示层状云)

    Fig. 2  Probability distribution curves about clutter and precipitation of each characteristic parameter

    (CL shows clutter, CC shows convective cloud, SC shows stratiform cloud)

    图  3  MOP与美国地物回波识别隶属函数MAM以及我国现有地物回波识别隶属函数MCH的比较

    Fig. 3  Comparison of clutter identifiable membership functions MAM and MCH and the MOP

    图  4  2007年7月7日11:18 天津雷达观测图(红色箭头指向超折射回波, 灰色区域表示识别出来的超折射地物回波, 实线圈范围内为误识别回波)

    (a)回波识别前0.4°仰角反射率因子, (b)回波识别前0.4°仰角径向速度, (c)回波识别前1.3°仰角反射率因子, (d) 回波识别前1.3°仰角径向速度, (e) MOP回波识别后的 0.4°仰角反射率因子, (f)MCH回波识别后的0.4°仰角反射率因子

    Fig. 4  PPI of Tianjin rader at 11:18 on July 7 2007 (red rows point to MOP clutter, grey block shows the AP clutter that identified correctly, real line circle point to the wrong identification after echo classify)

    (a) reflectivity at 0.4°elevation before echo classify, (b) radial velocity at 0.4°elevation before echo classify, (c) reflectivity at 1.3°elevation before echo classify, (d) radial velocity at 1.3°elevation before echo classify, (e) reflectivity at 0.4°elevation after echo classify with MOP, (f) reflectivity at 0.4°elevatation after echo classify with MCH

    图  5  2007年10月6日17:18 北京雷达观测图( 红色箭头指向超折射地物回波, 灰色表示识别出来的超折射地物回波, 实线圈处表示误识别回波, 虚线圈处表示本方法识别效果改进处)

    (a)回波识别前0.6°仰角反射率因子, (b)回波识别前 0.6°仰角径向速度, (c) 回波识别前 1.6°仰角反射率因子, (d)回波识别前的 1.6°仰角径向速度, (e)MOP回波识别后的 0.6°仰角反射率因子, (f) MCH回波识别后的 0.6°仰角反射率因子

    Fig. 5  PPI of Beijing radar at 17:18 on October 6, 2007( red rows point to MOP clutter, grey block shows AP clutter that identified correct, real line circle point to the wrong identification after echo classify, and the broken line circle shows improvement of this method comparing to the method before)

    (a) reflectivity at 0.6°elevation before echo classify, (b) radial velocity at 0. 6°elevation before echo classify, (c) reflectivity at 1.6°elevation before echo classify, (d) radial velocity at 1. 6°elevation before echo classify, (e) reflectivity at 0.6°elevation after echo classify withMOP, (f) reflectivity at 0.6°elevatation after echo classify with MCH

    表  1  不同隶属函数下各参量的识别准确率(单位: % )

    Table  1  Identifiable accuracy of each characteristic parameter with different membership function(unit: % )

    表  2  对地物 、降水回波识别准确率和对降水回波误判率 (单位: % )

    Table  2  Identifiable accuracy for clutter and precipitation echo and erroneous recognition for precipitation echo (unit: % )

    表  3  仅使用回波强度时对地物 、降水回波识别的准确率和对降水的误判率(单位: % )

    Table  3  Identifiable accuracy for clutter and precipitation echo and erroneous recognition for precipitation echo with only echo intensity(unit:%)

  • [1] Hogg W D. Quality Control and Analysis of an Archive of Digital Radar Data∥Preprints, 18th Conf on Radar Meteorology, Amer Meteor Soc, 1978: 150-154 .
    [2] Smith P L. Precipitation Measurement and Hydrology∥Panel report: Radar in Meteorology, Amer Meteor Soc, 1990: 607-618
    [3] Mueller E A, Sims A L. Statistics of High Radar Reflectivity Gradients∥Preprints, 16th Radar Meteorology Conf, Amer Meteor Soc, 1975: 401-403
    [4] Riley G F, Austin P M. Some Statistics of Gradients of Precipitation Intensity∥Preprints, 17th Conf on Radar Meteorology, Amer Meteor Soc, 1976: 492-497 .
    [5] Collier C G, Lovejoy S, Austin G L. Analysis of Bright Bands from 3-D Radar Data∥Preprints, 19th Conf on Radar Meteorology, Amer Meteor Soc, 1980: 44-47.
    [6] Rosenfeld D, Amitai E, Wolff D B. Classification of rain regimes by the three-dimensional properties of reflectivity fields. J Appl Meteo, 1995, 34 :198-211. doi:  10.1175/1520-0450(1995)034<0198:CORRBT>2.0.CO;2
    [7] Fulton R A, Breidenbach J P, Seo D J. The WSR-88D rainfall algorithm. Wea Forecasting, 1998, 13: 377-395. doi:  10.1175/1520-0434(1998)013<0377:TWRA>2.0.CO;2
    [8] Steiner M, Smith J A. Use of three-dimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data. J Atmos Ocean Technol, 2002, 19 :673-686. doi:  10.1175/1520-0426(2002)019<0673:UOTDRS>2.0.CO;2
    [9] Joe P. Classification of Radar Imagery Using Texture Analyses∥Preprints, 25th Int Conf on Radar Meteorology, Amer Meteor Soc, 1991: 107-110
    [10] Giuli D, Gherardelli M, Freni T A. Rainfall and clutter discrimination by means of dual-linear polarization radar measurements. J Atmos Oceanic Technol, 1991, 8 : 777-789. doi:  10.1175/1520-0426(1991)008<0777:RACDBM>2.0.CO;2
    [11] Pratte J F, Gagnon R, Corneliu s R. Ground Clutter Characteristics and Residue Mapping ∥Preprints, 26th Int Conf on Radar Meteorology, Amer Meteor Soc, 1993:50-52 .
    [12] Grecu M, Krajewski W F. Detection of anomalous propagation echoes in weather radar data using neural networks. IEEE Tran Geosc Remote Sens, 1999, 37: 287-296. doi:  10.1109/36.739163
    [13] Grecu M, Krajewski W F. An efficient methodology for detection of anomalous propagation echoes in radar reflectivity data using neural networks. J Atmos Oceanic Technol, 2000, 17: 121-129. doi:  10.1175/1520-0426(2000)017<0121:AEMFDO>2.0.CO;2
    [14] Kessinger C, Ellis S, Vanandel J, et al. The AP Clutter Mitiga-tion Scheme for the WSR-88D ∥Preprints, 31st Conference on Radar Meteorology, Amer Meteor Soc, 2003 :526-529 .
    [15] Zhang J, Wang S, Clarke B. WSR-88D Reflectivity Quality Control Using Horizontal and Vertical Reflectivity Structure∥Preprints, the 11th Conference on Aviation, AMS, 2004, P5.4
    [16] 刘黎平, 吴林林, 杨引明.基于模糊逻辑的分步式超折射地物回波识别方法的建立和效果分析.气象学报, 2007, 65(2): 252-260. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200702010.htm
    [17] Lakshmanan V, Hondl K, Stumpf G, et al. Quality Control of Weather Radar Data using Texture Features and a Neural Network ∥5th Internatinal Conf on Adv in Patt Recogn , IEEE, 2003 .
    [18] Da Silveira R B, Holt A R. An automatic identification of clutter and anomalous propagation in polarizationdiversity weather radar data using neural networks. IEEE Trans Geosci Remote Sen, 2001, 39: 1777-1788. doi:  10.1109/36.942556
    [19] 俞小鼎, 张爱民, 郑媛媛, 等.一次系列下击暴流事件的多普勒天气雷达分析.应用气象学报, 2006, 17(4):385-393. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060466&flag=1
    [20] 陈明轩, 俞小鼎, 谭晓光, 等.北京2004年"7.10"突发性对流强降水的雷达回波特征分析.应用气象学报, 2006, 17(3): 333-345. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20090210&flag=1
    [21] 张亚萍, 程明虎, 徐慧, 等.雷达定量测量降水在佛子岭流域径流模拟中的应用.应用气象学报, 2007, 18(3): 295-305. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20070351&flag=1
  • 加载中
图(5) / 表(3)
计量
  • 摘要浏览量:  5558
  • HTML全文浏览量:  773
  • PDF下载量:  2431
  • 被引次数: 0
出版历程
  • 收稿日期:  2008-02-27
  • 修回日期:  2009-02-11
  • 刊出日期:  2009-04-30

目录

    /

    返回文章
    返回