基于标准差分析法的X波段双偏振天气雷达资料质量评估
|
摘要
2015年9月,北京市气象局在北京地区架设4部X波段双线偏振天气雷达并开展了观测试验。本文利用其中3部雷达在2016年6月30日的观测数据,用标准差分布统计方法,对雷达的观测参量进行初步质量评估。结果表明:(1)3部雷达反射率标准差符合理论值的数据占总观测数据的73.5%～77.9%,反射率的数据波动基本符合理论分布;(2)3部雷达差分反射率标准差符合理论值的数据占总观测数据的68.4%～81.4%,其中房山雷达数据波动较大;(3)3部雷达互相关系数标准差符合理论值的数据占总观测数据的45.7%～63.5%,其中房山雷达数据波动最大,其他2部雷达都有同程度的数据波动;(4)3部雷达差分传播相位标准差符合理论值的数据占总观测数据的73.5%～83.9%,其中房山雷达数据波动相对较大,与雷达其他观测参量相比,差分传播相位的波动较小。
In September 2015, four dual-polarized weather radars of X-band were set up and conducted the observation test in Beijing area by Beijing Meteorological Bureau. Based on the observation data of the three radars on 30 June 2016, the observation parameters of radars have been conducted initial quality assessment by using the statistical method of standard deviation distribution. The results are as follows:(1) The 73.5%-77.9% of the total observation data of the reflectivity from the three radars conformed to the theoretical standard deviation distribution. It suggested that the fluctuation of the reflectivity data basically conformed to the theoretical distribution.(2) The 68.4%-81.4% of the total observation data of the differential reflectivity conformed to the theoretical standard deviation distribution. The fluctuation of data from Fangshan radar was the largest among the three radars.(3) For the cross correlation coefficient among the three radars, 45.7%-63.5% of the standard deviations conformed to the theory value. The data from Fangshan radar fluctuated most while data from the rest two radars showed the same scale of fluctuation.(4) For the standard deviations of differential-phase, 73.5%-83.9% of the data showed consistency with theoretical data. The fluctuation of data from Fangshan radar was relatively large. Compared with the other three observation parameters of radars, the variation of differential-phase was relatively small.
In September 2015, four dual-polarized weather radars of X-band were set up and conducted the observation test in Beijing area by Beijing Meteorological Bureau. Based on the observation data of the three radars on 30 June 2016, the observation parameters of radars have been conducted initial quality assessment by using the statistical method of standard deviation distribution. The results are as follows:(1) The 73.5%-77.9% of the total observation data of the reflectivity from the three radars conformed to the theoretical standard deviation distribution. It suggested that the fluctuation of the reflectivity data basically conformed to the theoretical distribution.(2) The 68.4%-81.4% of the total observation data of the differential reflectivity conformed to the theoretical standard deviation distribution. The fluctuation of data from Fangshan radar was the largest among the three radars.(3) For the cross correlation coefficient among the three radars, 45.7%-63.5% of the standard deviations conformed to the theory value. The data from Fangshan radar fluctuated most while data from the rest two radars showed the same scale of fluctuation.(4) For the standard deviations of differential-phase, 73.5%-83.9% of the data showed consistency with theoretical data. The fluctuation of data from Fangshan radar was relatively large. Compared with the other three observation parameters of radars, the variation of differential-phase was relatively small.
引文
[1] 仰美霖,江源,刘黎平,等.北京SA雷达电磁干扰回波特征及质控算法初探[J].干旱气象,2018,36(5):802-812.
[2] 俞小鼎,王迎春,陈明轩,等.新一代天气雷达与强对流天气预警[J].高原气象,2005,24(3):456-464.
[3] 陈洪滨,李兆明,段树,等.天气雷达网络的进展[J].遥感技术与应用,2012,27(4):487-495.
[4] SELIGA T A,BRINGI V N.Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation[J].Journal of Applied Meteorology,1976(15):69-76.
[5] DOVIAK J R,ZRNIC D S.Doppler radar and weather observations[M].San Diego:Academic Press,1992.
[6] 李兆明.网络雷达协同自适应观测方案及衰减订正研究[D].北京:中国科学院大气物理研究所,2014.
[7] 王以琳,姚展予,林长城.人工增雨作业前后不同高度雷达回波分析[J].干旱气象,2018,36(4):644-651.
[8] 刘黎平,葛润生,张沛源.双线偏振多普勒天气雷达遥测降水强度和液态含水量的方法和精度研究[J].大气科学,2002,26(5):709-720.
[9] LIU LIPING,HU ZHIQUN,FANG WENGUI,et al.Calibration and data quality analysis with mobile c-band polarimetric radar[J].Acta Meteorologica Sinica,2010,24(4):501-509.
[10] 曹俊武,胡志群,陈晓辉,等.影响双线偏振雷达相位探测精度的分析[J].高原气象,2011,30(3):817-822.
[11] 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[J].高原气象,2012,31(1):223-230.
[12] KATJA FRIEDRICH,MARTIN HAGEN,THOMAS EINFALT.A quality control concept for radar reflectivity,polarimetric parameters,and doppler velocity[J].Journal of Atmospheric and Oceanic Technology,2006(23):865-887.
[13] 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[J].气象学报,2007,65(2):252-260.
[14] RYZHKOV A V,ZRNIC D S,BURGESS D,et al.Observations and classification of echoes with the polarimetric WSR-88D radar[R].Report of National Severe Storms Laboratory,2003.
[15] HUBBERT J,CHANDRASCHAR V,BRINGI V N,et al.Processing and interpretation of coherent dual-polarized radar measurements[J].Journal of Atmospheric and Oceanic Technology,1993(10):155-164.
[16] HUBBERT J,BRINGI V N.AN iterative filtering technique for the analysis of copolar differential phase and dual-frequency radar[J].Journal of Atmospheric and Oceanic Technology,1995(12):643-648.
[17] 何宇翔,吕达仁,肖辉,等.X波段双线极化雷达反射率的衰减订正[J].大气科学,2009,33(5):1027-1037.
[18] 吕博,杨士恩,王俊,等.X波段双线偏振多普勒雷达资料质量评估[J].干旱气象,2016,34(6):1054-1063.
[19] 杜牧云,刘黎平,胡志群,等.双线偏振多普勒雷达资料质量的定量评估[J].气象学报,2013,71(4):754-768.
[20] 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[J].气象学报,2013,71(1):146-158.
[21] ZHANG G,DOVIAK R J,VIVEKANANDAN J,et al.Cross-correlation ratio method to estimate cross-beam wind and comparison with a full correlation analysis[J].Radio Science,2003,38(3),DOI:10.1029/2002RS002682.
[22] GUIFU ZHANG.Weather radar polarimetry[M].Boca Raton:CRC Press,2016.
[2] 俞小鼎,王迎春,陈明轩,等.新一代天气雷达与强对流天气预警[J].高原气象,2005,24(3):456-464.
[3] 陈洪滨,李兆明,段树,等.天气雷达网络的进展[J].遥感技术与应用,2012,27(4):487-495.
[4] SELIGA T A,BRINGI V N.Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation[J].Journal of Applied Meteorology,1976(15):69-76.
[5] DOVIAK J R,ZRNIC D S.Doppler radar and weather observations[M].San Diego:Academic Press,1992.
[6] 李兆明.网络雷达协同自适应观测方案及衰减订正研究[D].北京:中国科学院大气物理研究所,2014.
[7] 王以琳,姚展予,林长城.人工增雨作业前后不同高度雷达回波分析[J].干旱气象,2018,36(4):644-651.
[8] 刘黎平,葛润生,张沛源.双线偏振多普勒天气雷达遥测降水强度和液态含水量的方法和精度研究[J].大气科学,2002,26(5):709-720.
[9] LIU LIPING,HU ZHIQUN,FANG WENGUI,et al.Calibration and data quality analysis with mobile c-band polarimetric radar[J].Acta Meteorologica Sinica,2010,24(4):501-509.
[10] 曹俊武,胡志群,陈晓辉,等.影响双线偏振雷达相位探测精度的分析[J].高原气象,2011,30(3):817-822.
[11] 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[J].高原气象,2012,31(1):223-230.
[12] KATJA FRIEDRICH,MARTIN HAGEN,THOMAS EINFALT.A quality control concept for radar reflectivity,polarimetric parameters,and doppler velocity[J].Journal of Atmospheric and Oceanic Technology,2006(23):865-887.
[13] 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[J].气象学报,2007,65(2):252-260.
[14] RYZHKOV A V,ZRNIC D S,BURGESS D,et al.Observations and classification of echoes with the polarimetric WSR-88D radar[R].Report of National Severe Storms Laboratory,2003.
[15] HUBBERT J,CHANDRASCHAR V,BRINGI V N,et al.Processing and interpretation of coherent dual-polarized radar measurements[J].Journal of Atmospheric and Oceanic Technology,1993(10):155-164.
[16] HUBBERT J,BRINGI V N.AN iterative filtering technique for the analysis of copolar differential phase and dual-frequency radar[J].Journal of Atmospheric and Oceanic Technology,1995(12):643-648.
[17] 何宇翔,吕达仁,肖辉,等.X波段双线极化雷达反射率的衰减订正[J].大气科学,2009,33(5):1027-1037.
[18] 吕博,杨士恩,王俊,等.X波段双线偏振多普勒雷达资料质量评估[J].干旱气象,2016,34(6):1054-1063.
[19] 杜牧云,刘黎平,胡志群,等.双线偏振多普勒雷达资料质量的定量评估[J].气象学报,2013,71(4):754-768.
[20] 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[J].气象学报,2013,71(1):146-158.
[21] ZHANG G,DOVIAK R J,VIVEKANANDAN J,et al.Cross-correlation ratio method to estimate cross-beam wind and comparison with a full correlation analysis[J].Radio Science,2003,38(3),DOI:10.1029/2002RS002682.
[22] GUIFU ZHANG.Weather radar polarimetry[M].Boca Raton:CRC Press,2016.