天气雷达间一致性评估算法影响因子分析及改进  

Influence Factors Analysis and Improvement of Consistency Evaluation Algorithm Between Weather Radars

作　　者：鲁德金 胡姮[1] 吴蕾[1] 柳云雷[1] 李瑞义[1] 吴林林 袁野[2] LU Dejin;HU Heng;WU Lei;LIU Yunlei;LI Ruiyi;WU Linlin;YUAN Ye(CMA Meteorological Observation Centre,Beijing 100081;Anhui Weather Modification Office,Hefei 230031;CMA Weather Modification Centre,Beijing 100081)

机构地区：[1]中国气象局气象探测中心,北京100081 [2]安徽省人工影响天气办公室,合肥230031 [3]中国气象局人工影响天气中心,北京100081

出　　处：《气象》2024年第4期475-487,共13页Meteorological Monthly

基　　金：中国气象服务协会气象科技创新平台项目(CMSA2023MB005);国家重点研发计划(2019YFC1510303);安徽省重点研究与开发计划(1704f0804055);安徽省自然科学联合基金项目(2208085UQ05)共同资助。

摘　　要：基于基数据的雷达间一致性评估的基本方法,分析了雷达高差、地形遮挡、噪声、充塞、时空重叠率、衰减等对一致性评估算法的结果质量的影响,并采取了相应的改进措施:使用雷达的波束遮挡比例数据进行遮挡订正或直接剔除存在遮挡的重叠点;对信噪比较低、充塞不充分及存在异常的重叠点予以剔除;增加了时间、空间重叠率因子,分析了不同阈值时间、空间重叠率对评估结果的影响。改进措施对一致性评估结果中的偏差均值、标准偏差的质量均有了一定的提高。使用改进后的算法对岳阳站雷达系统偏差和苏皖地区雷达回波一致性做了评估。结果表明:岳阳站在维护前后与周边雷达的偏差值有明显的降低,并回到正常水平,标准偏差值也略有降低;苏皖地区雷达间偏差均值大部分在2 dB以内,雷达间偏差均值所组成的矢量三角形闭合度较好,标准偏差在2.9~3.3 dB,相关系数在0.40~0.55。Based on the basic method of consistency evaluation between radar base data,this article analyzes the influence of radar altitude difference,terrain blockage,noise,congestion,temporal and spatial overlap rate,attenuation,etc.on consistency evaluation algorithm result quality,and takes corresponding improvement measures,that is,using radar beam blockage percentage data to correct or directly eliminate overlapping points with blockage,eliminating the overlapping points with low SNR,incomplete filling and abnormality,adding the factors of temporal spatial overlap rate,and analyzing the impact of different threshold temporal and spatial overlap rates on the evaluation results.The improvement measures have improved the quality of the deviation mean and standard deviation in the consistency evaluation results.The improved algorithm is used to evaluate the radar system deviation of Yueyang Station and the consistency of radar echoes in Jiangsu and Anhui regions.The results show that the deviation value between the Yueyang Radar and the surrounding radars has obviously decreased after being maintained,returning to the normal level,and the standard deviation value has also decreased slightly.The average value of deviations between radars in Jiangsu and Anhui is mostly within 2 dB.The vector triangle composed of the deviation mean has a good closure,with standard deviation between 2.9 dB and 3.3 dB and correlation coefficient between 0.40 and 0.55.

关 键 词：雷达基数据 一致性评估 影响因子 算法改进 

分 类 号：P413[天文地球—大气科学及气象学]