高原气象

高原气象 >

2019 , Vol. 38 >Issue 3: 636 - 649

DOI: https://doi.org/10.7522/j.issn.1000-0534.2018.00096

论文

X波段双线偏振雷达数据质量分析及控制方法

  • 王超 ,
  • 吴翀 ,
  • 刘黎平
展开
  • 成都信息工程大学电子工程学院, 四川 成都 610225;中国气象科学研究院灾害天气重点实验室, 北京 100081

收稿日期: 2018-09-01

  网络出版日期: 2019-06-28

基金资助

国家自然科学基金项目（41675023和41875036）；浙江省重大科技专项（2017C03035）

收起

Data Quality Analysis and Control Method of X-band Dual Polarization Radar

  • WANG Chao ,
  • WU Chong ,
  • LIU Liping
Expand
  • College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China;State Key Laboratory of Severe Weather(LaSW), Chinese Academy of Meteorological Sciences, Beijing 100081, China

Received date: 2018-09-01

  Online published: 2019-06-28

Fold

摘要

利用双偏振参量在弱降水过程中性质均一、随时空变化缓慢的特征，选取北京、佛山地区弱降水过程的观测资料，通过将较长时间观测结果沿径向或方位累积的方法，分析双偏振参量测量精确度受地物、避雷针、旋转及俯仰关节的影响，并提出相应的质控方法，得出以下结论：（1）差分反射率（ZDR）、相关系数（ρhv）及差分传播相位（ΦDP）比水平反射率（Z）对地物更敏感，其中在地物处ρhv小于0.85，ZDR低于-1 dB。根据降雨与地物之间偏振参量特征的不同，将ρhv长时间累积能有效的识别地物回波。（2）每根避雷针对双偏振参量影响的方位和幅值是近似一致的。在以避雷针为中心的±15°的方位范围内，ZDR增大0.4~1.5 dB，ρhv降低0.01以下、Z降低1~2 dBZ，且均在避雷针中心处影响达到极值。通过基于上述方位的统计订正可以较好的去除避雷针对双偏振参量的影响。（3）雷达旋转关节的异常会导致ZDR在水平方向上不平稳变化，而俯仰关节异常会使ZDR在高、低仰角差距较大，通过ZDR沿方位一段时间的累积得到各层仰角ZDR变化曲线，用此曲线来实现ZDR的误差标定。通过检验，本文提出的质量控制方法有效的提升了X波段双偏振雷达的数据质量，为其在业务中的进一步推广提供了支持。

关键词： X波段双偏振雷达; 资料质量分析; 差分反射率因子

本文引用格式

王超 , 吴翀 , 刘黎平 . X波段双线偏振雷达数据质量分析及控制方法[J]. 高原气象, 2019 , 38(3) : 636 -649 . DOI: 10.7522/j.issn.1000-0534.2018.00096

Abstract

The Bureau of Meteorology in Beijing and Foshan began constructing an X-band dual-polarization radar networks to enhance their ability to elaborate nowcasting. However, in the following two years of flood season observation, it is found that there are still a series of problems in X-band dual-polarization radar, and its data quality that could be improved largely. The article uses the characteristics of polarization parameters that uniformed in nature and slowly changed with time and space in the process of weak rainfall and selects the observation data of weak precipitation process in Beijing and Foshan. Through the method of accumulating in radial or azimuth by taking a long-term observation, this paper analyzes the accuracy of polarization parameter measurement that affected by the ground, lightning rod, rotation and pitching joints and puts forward to the corresponding quality control method. The following conclusions are drawn:(1) different reflectivity factor (ZDR), correction coefficient (ρhv) and differential propagation phase (ΦDP) are more sensitive to the ground objects than horizontal polarization reflectivity factor (Z), where ρhv is less than 0.85, ZDR lower than -1 dB, and a threshold of 0.9 is set according to the difference of ρHV between rainfall and ground objects. The ρhv can be accumulated for a long time to identify the echo of ground object effectively. (2) The azimuth and amplitude of each lightning rod's influence on the dual polarization parameters are approximately the same. In the ±15° azimuth range centered on the lightning rod, the ZDR increases by approximately 0.4 dB to 1.5 dB, the ρhv lowers to 0.01 or less, and the Z decreases by nearly 1 to 2 dBZ, and in which these parameters will reach the extremum. Through the statistical correction based on the above azimuth, the effect of lightning protection on dual polarization parameters can be better removed. (3) The abnormality of the rotary joints will cause the ZDR to change unevenly in the horizontal direction, while the exception of pitching joint will cause the ZDR to have a large gap between the high and low elevation angles. The ZDR variation curve of the elevation angle of each layer will be obtained through the accumulation of the ZDR along the azimuth for a period of time, which can achieve ZDR error calibration. Through the test, the quality control method proposed in this paper can effectively improve the data quality of X-band dual-polarization radar and provides support for its further promotion in operation.

Key words： X-band dual-polariza; data quality analysi; differential reflect

参考文献

[1]Balakrishnan N, Zrni? D S, 2010.Estimation of rain and hail rates in mixed-phase precipitation[J].Journal of the Atmospheric Sciences, 47(5):565-583.
[2]Balakrishnan N, Zrni? D S, 1990.Use of polarization to characterize precipitation and discriminate large hail[J].Journal of the Atmospheric Sciences, 47(13):1525-1540.
[3]Bringi V N, Seliga T, Cherry S M, 1983.Statistical properties of the dual polarization differential reflectivity (ZDR) radar signal[J].IEEE Trans On Geoscience and Remote Sensing, GE-21(2):215-220.
[4]Bringi V N, Chandrasekar V, Balakrishnan N, et al, 1990.an examination of propagation effects in rainfall on radar measurements at microwave frequencies[J].Journal of Atmospheric and Oceanic Technology, 7 (7):829-840.
[5]Bringi V N, Chandrasekar V, 2001.Polarimetric Doppler weather radar:Principles and applications[M].London:Cambridge University Press.
[6]Brunkow D, Bringi V N, Kennedy P C, et al, 2000.A description of the CSU-CHILL national radar facility[J].Journal of Atmospheric and Oceanic Technology, 17:1596-1608.
[7]Chandrasekar V, Keeler R J, 1993.Antenna pattern analysis and measurements for multiparameter radars[J].Journal of Atmospheric and Oceanic Technology, 10(3):674-683.
[8]Dennis V, Maurizio S, Marco G, 2014.Absolute dual-polarization radar calibration: temperature dependence and stability with focus on antenna-mounted receivers and noise source generated reference signal[C]//ERAD 2014-The Eighth European Conference on Radar in Meteorology and Hydrology, Garmisch-Partenkirchen, Germany.
[9]Edward A B, 2000.Dual polarization radar fundamentals and algorithm prospects[M/OL].<a href="https://www.roc.noaa.gov/WSR88D/PublicDocs/AppsDocs/algorithm00.pdf" target="_blank">https://www.roc.noaa.gov/WSR88D/PublicDocs/AppsDocs/algorithm00.pdf</a>.[2017-12-02]
[10]Gourley J J, Tabary P, Jacques P D C, 2006.Data quality of the Meteo-France C-band polarimetric radar[J].Journal of Atmospheric and Oceanic Technology, 23:1340-1356.
[11]Hu Z Q, Liu L P, Wang L R, 2012.A quality assurance procedure and evaluation of rainfall estimates for C-Band polarimetric radar[J].Advances in Atmospheric Sciences, 29(1):144-156.
[12]Matrosov S Y, Clark K A, Martner B E, et al, 2002.X-band polarimetric radar measurements of rainfall[J].Journal of Applied Meteorology and Climatology, 41 (9):941-952.
[13]Ryzhkov A V, Zrni? D S, 1998.Discrimination between rain and snow with a polarimetric radar[J].Journal of Applied Meteorology and Climatology, 37(10):1228-1240.
[14]Ryzhkov A V, Giangrande S E, Melnikov V M, et al, 2005.Calibration Issues of Dual-Polarization Radar Measurements[J].Journal of Atmospheric and Oceanic Technology, 22(8):1138-1155.
[15]Sugier J, Tabary P, 2006.ERAD 2006 Proceedings of Evaluation of dual polarization technology at C-band for operational weather radars as part of the EUMETNET OPERA programme[M/OL].<a href="http://pdfs.semanticscholar.org/69d6/557e23adcfd55f841171559dc90996f38a42.pdf" target="_blank">http://pdfs.semanticscholar.org/69d6/557e23adcfd55f841171559dc90996f38a42.pdf</a>.[2017-12-02]
[16]Schuur T J, Ryzhkov A V, Heinselman P L, et al, 2004.The joint polarization experiment-A summary of dual-polarization WSR-88D radar data collection and analysis[C]//20th International Conference on Interactive Information and Processing Systems (ⅡPS) for Meteorology Oceanography and Hydrology, Seattle, Washington State.
[17]Ulbrich C W, Atlas D, 2016.Assessment of the contribution of differential polarization to improved rainfall measurements[J].Radio Science, 19(1):49-57.
[18]Zrni? D S, Ryzhkov A V, 1996.Advantages of rain measurements using specific differential phase[J].Journal of Atmospheric and Oceanic Technology, 13(2):454-464.
[19]Zrni? D S, Melnikov V M, Carter J K, 2006.Calibrating differential reflectivity on the WSR-88D[J].Journal of Atmospheric and Oceanic Technology, 23(7):944-951.
[20]Zrni? D S, Doviak R, Zhang G F, et al, 2010.Bias in Differential Reflectivity Due to Cross Coupling Through the Radiation Patterns of Polarimetric Weather Radars[J].Journal of Atmospheric and Oceanic Technology, 27(10):1624-1637.
[21]杜牧云, 刘黎平, 胡志群, 等, 2011.C波段双线偏振多普勒雷达资料质量分析[J].暴雨灾害, 30(4):328-334.
[22]杜牧云, 刘黎平, 胡志群, 等, 2013.双线偏振多普勒雷达资料质量的定量评估[J].气象学报, 71(4):754-768.
[23]江源, 2013.天气雷达观测资料质量控制方法研究及其应用[D].北京, 中国气象科学研究院, 1-153.
[24]李祥超, 周中山, 陈则煌, 等, 2015.避雷针对天气雷达回波影响的研究[J].南京信息工程大学学报(自然科学版), 7(5):414-421.
[25]谭涌波, 朱俊儒, 李祥超, 等, 2014.孤立金属尖端的电晕触发阈值[J].应用气象学报, 25(3):339-346.
[26]魏庆, 胡志群, 刘黎平, 等, 2016.C波段偏振雷达数据预处理及在降水估计中的应用[J].高原气象, 35(1):231-243.DOI:10.7522/j.issn.1000-0534.2014.00131.
[27]吴欢, 黄兴友, 2014.X波段双偏振雷达回波强度衰减和地物回波识别订正[J].气象科学, 34(1):32-38.
[28]吴林林, 刘黎平, 袁野, 等, 2015.C波段车载双偏振雷达ZDR资料处理方法研究[J].高原气象, 34(1):279-287.DOI:10.7522/j.issn.1000-0534.2013.00102..
[29]魏洪峰, 薛震刚, 2008.双偏振多普勒天气雷达差分反射率因子的测量误差[J].气象科技, 36(2):223-227.
[30]肖艳姣, 王斌, 陈晓辉, 等, 2012.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[J].高原气象, 31(1):223-230.
[31]杨通晓, 袁招洪, 2017.多波段双偏振天气雷达识别降水类型的模拟研究[J].高原气象, 36 (1):241-255.DOI:10.7522/j.issn.1000-0534.2016.00016.
Options
文章导航

/

〈 〉

本系统由北京玛格泰克科技发展有限公司设计开发 技术支持：support@magtech.com.cn