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

面向资料同化的S波段双偏振雷达质量控制

王洪 孔凡铀 Jung Youngsun 吴乃庚 尹金方

王洪, 孔凡铀, Jung Youngsun, 等. 面向资料同化的S波段双偏振雷达质量控制. 应用气象学报, 2018, 29(5): 546-558. DOI: 10.11898/1001-7313.20180504..
引用本文: 王洪, 孔凡铀, Jung Youngsun, 等. 面向资料同化的S波段双偏振雷达质量控制. 应用气象学报, 2018, 29(5): 546-558. DOI: 10.11898/1001-7313.20180504.
Wang Hong, Kong Fanyou, Jung Youngsun, et al. Quality control of S-band polarimetric radar measurements for data assimilation. J Appl Meteor Sci, 2018, 29(5): 546-558. DOI:  10.11898/1001-7313.20180504.
Citation: Wang Hong, Kong Fanyou, Jung Youngsun, et al. Quality control of S-band polarimetric radar measurements for data assimilation. J Appl Meteor Sci, 2018, 29(5): 546-558. DOI:  10.11898/1001-7313.20180504.

面向资料同化的S波段双偏振雷达质量控制

DOI: 10.11898/1001-7313.20180504
资助项目: 

广东省科技计划项目 2017B020218003

灾害天气国家重点实验室开放课题 2018LASW-B13

国家自然科学基金项目 41475102

国家自然科学基金项目 41675021

广东省科技计划项目 2017A020219005

国家自然科学基金项目 41705035

国家自然科学基金项目 41705020

国家重点基础研究发展计划 2015CB452802

详细信息
    通信作者:

    吴乃庚, 邮箱:wung@grmc.gov.cn

Quality Control of S-band Polarimetric Radar Measurements for Data Assimilation

  • 摘要: 双偏振雷达是强对流天气分析和云微物理研究的重要探测设备,将多普勒天气雷达升级为双偏振雷达是我国未来几年强对流天气监测发展建设的重点计划,而双偏振雷达资料质量控制是其中的关键技术问题。针对国内首批业务布建的广东省S波段双偏振雷达网研发建立了一套完整的质量控制技术方案,除了重点解决非气象回波外,还考虑了非标准波束遮挡和径向高频脉动问题。在飑线、暴雨和台风3类华南季风区强天气个例的应用表明,基于模糊逻辑的水凝物分类、偏振量(零滞后互相关系数、信噪比和比差分相位)阈值检查和杂波剔除能有效剔除非气象回波,抑制异常传播波束导致的虚假回波;线性内插较好地弥补了非标准波束遮挡带来的观测缝隙;中值滤波和滑动平均既过滤了偏振观测量在雷达径向的高频脉动,又保留了主要的偏振雷达观测特征。质量控制后的气象回波约占有效观测(反射率因子大于-30 dBZ)的40%,其偏振量取值分别为反射率因子大于5 dBZ、零滞后互相关系数大于0.8和差分反射率为-0.2~4 dB。
  • 图  1  偏振雷达资料质量控制流程

    Fig. 1  Flow diagram of quality control for the polarimetric radar

    图  2  2017年5月8日06:00—21:00广州偏振雷达不同仰角累计反射率因子

    (a)0.5°仰角,(b)1.5°仰角,(c)2.4°仰角

    Fig. 2  Accumulated reflectivity at different elevations of Guangzhou polarimetric radar from 0600 UTC to 2100 UTC on 8 May 2017

    (a)0.5°, (b)1.5°, (c)2.4°

    图  3  2017年5月8日10:00质量控制前后广州偏振雷达的偏振量分布

    (a)原始反射率因子,(b)原始差分反射率,(c)经过非标准波束遮挡订正的反射率因子,(d)经过非标准波束遮挡订正的差分反射率,(e)经过水凝物分类筛选的反射率因子,(f)经过水凝物分类筛选的差分反射率,(g)经过阈值检查的反射率因子,(h)经过阈值检查的差分反射率,(i)经过杂波剔除的反射率因子,(j)经过杂波剔除的差分反射率,(k)经过中值滤波的反射率因子,(l)经过中值滤波的差分反射率

    Fig. 3  The effect of a different quality control component on measurements from Guangzhou polarimetric radar of 0.5° elevation at 1000 UTC 8 May 2017

    (a)raw reflectivity, (b)raw differential reflectivity, (c)reflectivity after non-standard blockage correction, (d)differential reflectivity after non-standard blockage correction, (e)reflectivity after hydrometeor classification filtering, (f)differential reflectivity after hydrometeor classification filtering, (g)reflectivity after thresholding, (h)differential reflectivity after thresholding, (i)reflectivity after despeckling, (j)differential reflectivity after despeckling, (k)reflectivity after median filter, (l)differential reflectivity after median filter

    图  4  2017年5月8日10:00广州偏振雷达0.5°仰角水凝物分类分布

    Fig. 4  Hydrometeor classification type for Guangzhou radar of 0.5° elevation at 1000 UTC 8 May 2017

    图  5  中值滤波及九点平滑效果

    (a)反射率因子,(b)差分反射率,(c)比差分相位

    Fig. 5  The result of the median filtering and radial smooth for measurements

    (a)reflectivity, (b)differential reflectivity, (c)pecific differential phase

    图  6  2017年5月6日21:54广州偏振雷达0.5°仰角质量控制前后偏振量分布

    (a)质量控制前反射率因子,(b)质量控制前差分反射率,(c)质量控制前比差分相位,(d)质量控制后反射率因子,(e)质量控制后差分反射率,(f)质量控制后比差分相位

    Fig. 6  Measurements before and after quality control for Guangzhou polarimetric radar of 0.5° elevation at 2154 UTC 6 May 2017

    (a)reflectivity before quality control, (b)differential reflectivity before quality control, (c)pecific differential phase before quality control, (d)reflectivity after quality control, (e)differential reflectivity after quality control, (f)pecific differential phase after quality control

    图  7  2017年8月23日00:54阳江偏振雷达0.5°仰角质量控制前后偏振量分布

    (a)质量控制前反射率因子,(b)质量控制前差分反射率,(c)质量控制前比差分相位,(d)质量控制后反射率因子,(e)质量控制后差分反射率,(f)质量控制后比差分相位

    Fig. 7  Measurements before and after the quality control for Yangjiang polarimetric radar of 0.5° elevation at 0054 UTC 23 Aug 2017

    (a)reflectivity before quality control, (b)differential reflectivity before quality control, (c)specific differential phase before quality control, (d)reflectivity after quality control, (e)differential reflectivity after quality control, (f)specific differential phase after quality control

    图  8  不同个例的ρHVZH散点分布

    (a)2017年5月6日21:54广州偏振雷达0.5°仰角,(b)2017年5月8日10:00广州偏振雷达0.5°仰角,(c)2017年8月23日00:54阳江偏振雷达0.5°仰角

    Fig. 8  The scatter plot of ZH-ρHV during quality control for different case

    (a)Guangzhou radar of 0.5° elevation at 2154 UTC 6 May 2017, (b)Guangzhou radar of 0.5° elevation at 1000 UTC 8 May 2017, (c)Yangjiang radar of 0.5° elevation at 0054 UTC 23 Aug 2017

    图  9  通过质量控制的ZDRZH频数统计分布

    (a)2017年5月6日21:54广州偏振雷达0.5°仰角,(b)2017年5月8日10:00广州偏振雷达0.5°仰角,(c)2017年8月23日00:54阳江偏振雷达0.5°仰角

    Fig. 9  Frequency distribution of ZDR and ZH after quality control

    (a)Guangzhou radar of 0.5° elevation at 2154 UTC 6 May 2017,
    (b)Guangzhou radar of 0.5° elevation at 1000 UTC 8 May 2017,
    (c)Yangjiang radar of 0.5° elevation at 0054 UTC 23 Aug 2017

    表  1  2017年5月8日10:00广州偏振雷达资料阈值检查剔除率(单位:%)

    Table  1  The rejection rate for various ρHV, SNR and KDP thresholds for Guangzhou polarimetric radar at 1000 UTC 8 May 2017(unit:%)

    仰角/(°) ρHV检查 SNR检查 KDP检查
    ZH ZDR KDP ZH ZDR KDP KDP
    0.5 7.09 3.16 17.30 5.58 5.55 5.44 27.29
    1.5 5.34 1.75 15.35 6.69 6.67 6.52 28.19
    2.4 7.51 3.15 18.20 5.66 5.64 5.51 25.77
    3.3 6.59 2.45 16.59 6.22 6.21 6.02 22.37
    4.3 5.92 2.42 12.56 7.75 7.74 7.57 25.59
    6.0 6.93 3.51 13.74 9.14 9.14 8.88 36.33
    9.9 8.78 5.34 20.46 9.33 9.20 8.61 38.52
    14.6 13.06 9.83 29.64 10.58 10.49 9.57 44.04
    19.5 28.00 23.92 39.50 11.43 11.35 10.32 59.74
    下载: 导出CSV
  • [1] Seliga T A, Bringi V N.Potential use of differential refleotivity measurements at orthogonal polarizations for measuring precipitation. J Appl Meteor, 1976, 15:69-76. doi:  10.1175/1520-0450(1976)015<0069:PUORDR>2.0.CO;2
    [2] Bringi V N, Chandrasekar V, 李忱, 等.偏振多普勒天气雷达原理和应用.北京:气象出版社, 2010.
    [3] 梁海河, 徐宝祥, 刘黎平, 等.偏振微波雷达探测大气研究进展及几个问题的考虑.地球科学进展, 2005, 20(5):541-548. doi:  10.3321/j.issn:1001-8166.2005.05.009
    [4] Ryzhkov A V, Schuur T J, Burgess D W, et al.The joint polarization experiment:Polarimetric rainfall measurements and hydrometeor classification. Bull Amer Meteor Soc, 2005, 86(6):809-824. doi:  10.1175/BAMS-86-6-809
    [5] 刘黎平, 葛润生.中国气象科学研究院雷达气象研究50年.应用气象学报, 2006, 17(6):682-689. doi:  10.3969/j.issn.1001-7313.2006.06.006
    [6] 陈明轩, 俞小鼎, 谭晓光, 等.对流天气临近预报技术的发展与研究进展.应用气象学报, 2004, 15(6):754-766. doi:  10.3969/j.issn.1001-7313.2004.06.015
    [7] Kumjian M R.Principles and applications of dual-polarization weather radar.Part I:Description of the polarimetric radar variables. J Oper Meteor, 2013, 1(19):226-242. doi:  10.15191/nwajom.2013.0119
    [8] Kumjian M R.Principles and applications of dual-polarization weather radar.Part Ⅱ:Warm and cold season applications. J Oper Meteor, 2013, 1(19):243-264. http://cn.bing.com/academic/profile?id=fd03b6158d951ca60395301ea611966c&encoded=0&v=paper_preview&mkt=zh-cn
    [9] 王洪, 吴乃庚, 万齐林, 等.一次华南超级单体风暴的S波段偏振雷达观测分析.气象学报, 2018, 76(1):92-103. http://d.old.wanfangdata.com.cn/Periodical/qxxb201801007
    [10] 刘黎平, 张沛源, 梁海河, 等.双多普勒雷达风场反演误差和资料的质量控制.应用气象学报, 2003, 14(1):17-29. doi:  10.3969/j.issn.1001-7313.2003.01.003
    [11] 王红艳, 刘黎平, 王改利, 等.多普勒天气雷达三维数字组网系统开发及应用.应用气象学报, 2009, 20(2):214-224. doi:  10.3969/j.issn.1001-7313.2009.02.011
    [12] 东高红, 刘黎平.雷达与雨量计联合估测降水的相关性分析.应用气象学报, 2012, 23(1):30-39. doi:  10.3969/j.issn.1001-7313.2012.01.004
    [13] Lakshmanan V, Zhang J.Censoring biological echoes in weather Radar images. IEEE, 2009, 5:491-495. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=CC0210051541
    [14] Li Y, Zhang G, Doviak R J.Ground clutter detection using the statistical properties of signals received with a polarimetric Radar. IEEE Transactions on Signal Processing, 2014, 62(3):597-606. doi:  10.1109/TSP.2013.2293118
    [15] Carretero-Moya J, Gismero-Menoyo J, Blanco-del-Campo Á, et al.Statistical analysis of a high-resolution sea-clutter database. IEEE Transactions on Geoscience & Remote Sensing, 2010, 48(4):2024-2037. http://cn.bing.com/academic/profile?id=4d3ee8f2d854d49611a6c2edd8d96d43&encoded=0&v=paper_preview&mkt=zh-cn
    [16] 李丰, 刘黎平, 王红艳, 等.C波段多普勒天气雷达地物识别方法.应用气象学报, 2014, 25(2):158-167. doi:  10.3969/j.issn.1001-7313.2014.02.005
    [17] Zhang J, Wang S, Clarke B. WSR-88D Reflectivity Quality Control Using Horizontal and Vertical Reflectivity Structure//11th Conf on Aviation, Range, and Aerospace Meteorology. Amer Meteor Soc, 2004.
    [18] Lakshmanan V, Fritz A, Smith T, et al.An automated technique to quality control Radar reflectivity data. Journal of Applied Meteorology and Climatology, 2007, 46(3):288-305. doi:  10.1175/JAM2460.1
    [19] 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. doi:  10.3321/j.issn:0577-6619.2007.02.011
    [20] 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. doi:  10.3969/j.issn.1001-7313.2009.02.010
    [21] Friedrich K, Hagen M, Einfalt T.A quality control concept for radar reflectivity, polarimetric parameters, and Doppler velocity. J Atmos Ocean Technol, 2006, 23(7):865-887. doi:  10.1175/JTECH1920.1
    [22] 杜牧云, 刘黎平, 胡志群, 等.双线偏振多普勒雷达资料质量分析.气象学报, 2013, 71(1):146-158. http://d.old.wanfangdata.com.cn/Periodical/qxxb201301012
    [23] Tang L, Zhang J, Langston C, et al.A physically based precipitation-nonprecipitation radar echo classifier using polarimetric and environmental data in a real-time national system. Wea Forecasting, 2014, 29(5):1106-1118. doi:  10.1175/WAF-D-13-00072.1
    [24] 杜牧云, 刘黎平, 胡志群, 等.双线偏振雷达差分传播相移的质量控制.应用气象学报, 2012, 23(6):710-720. doi:  10.3969/j.issn.1001-7313.2012.06.008
    [25] Kessinger C, Ellis S, Andel J V. The Radar echo classifier: A fuzzy logic algorithm for the WSR-88D//Third Conf on Artificial Intelligence Applications to the Environmental Science. Amer Meteor Soc, 2003.
    [26] Lakshmanan V, Karstens C, Krause J, et al.Quality control of weather radar data using polarimetric variables. J Atmos Ocean Technol, 2014, 31(6):1234-1249. doi:  10.1175/JTECH-D-13-00073.1
    [27] Lakshmanan V, Karstens C, Krause J, et al.Which polarimetric variables are important for weather/no-weather discrimination? J Atmos Ocean Technol, 2015, 32(6):1209-1223. doi:  10.1175/JTECH-D-13-00205.1
    [28] 肖艳姣, 王斌, 陈晓辉, 等.移动X波段双线偏振多普勒天气雷达差分相位数据质量控制.高原气象, 2012, 31(1):223-230. http://d.old.wanfangdata.com.cn/Periodical/gyqx201201024
    [29] Krause J M.A simple algorithm to discriminate between meteorological and nonmeteorological radar echoes. J Atmos Ocean Technol, 2016, 33(9):1875-1885. doi:  10.1175/JTECH-D-15-0239.1
    [30] Park H, Ryzhkov A V, Zrnic' D S, et al.The hydrometeor classification algorithm for the polarimetric WSR-88D:Description and application to an MCS. Wea Forecasting, 2009, 24(3):730-748. doi:  10.1175/2008WAF2222205.1
    [31] Tang L, Zhang J, Qi Y, et al. Non-standard Blockage Mitigation for National Radar QPE Products//36th Conference on Radar Meteorology. Amer Meteor Soc, 2013: 354.
    [32] Chandrasekar V, Keränen R, Lim S, et al.Recent advances in classification of observations from dual polarization weather radars. Atmos Res, 2011, 119:97-111. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=JJ0229142756
    [33] Wu C, Liu L, Wei M, et al.Statistics-based optimization of the polarimetric radar hydrometeor classification algorithm and its application for a squall line in South China. Adv Atmos Sci, 2018, 35(3):296-316. doi:  10.1007/s00376-017-6241-0
    [34] Ryzhkov A V, Giangrande S E, Schuur T J.Rainfall estimation with a polarimetric prototype of WSR-88D. J Appl Meteor, 2005, 44(4):502-515. doi:  10.1175/JAM2213.1
    [35] 赵果, 王致君, 贾伟, 等.双线偏振天气雷达有效探测范围研究.高原气象, 2016, 35(1):244-250. http://d.old.wanfangdata.com.cn/Periodical/gyqx201601023
    [36] 宗蓉, 刘春云.雷达反射率数据质量控制方法初探.气象与环境学报, 2009, 25(2):62-67. doi:  10.3969/j.issn.1673-503X.2009.02.012
    [37] 王洪, 万齐林, 尹金方, 等.双线偏振雷达资料在数值模式中的应用:模拟器的构建.气象学报, 2016, 74(2):229-243. http://d.old.wanfangdata.com.cn/Conference/8786572
  • 加载中
图(9) / 表(1)
计量
  • 摘要浏览量:  4878
  • HTML全文浏览量:  1423
  • PDF下载量:  295
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-05-15
  • 修回日期:  2018-07-19
  • 刊出日期:  2018-09-30

目录

    /

    返回文章
    返回