利用空间相关性进行天气雷达波束阻挡数据的识别和订正  

Recognition and correction of beam blockage of weather radar based on spatial correlation

作　　者：黄兴友[1] 马雷[1] 杨敏[1] 印佳楠 刘燕斐 HUANG Xingyou;MA Lei;YANG Min;YIN Jianan;LIU Yanfei(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science & Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学气象灾害预报预警与评估协同创新中心

出　　处：《气象科学》2019年第4期532-539,共8页Journal of the Meteorological Sciences

基　　金：国家自然科学基金资助项目(41475034;41475035);国家重点基础研究发展计划(973计划)资助项目(2013CB430101)

摘　　要：波束阻挡影响了天气雷达数据的质量,使雷达的导出产品存在误差。根据雷达观测数据的空间相关性,提出了不依赖于高精度数字高程模型的波束阻挡识别和订正算法,可以方便地用于天气雷达反射率因子的阻挡订正。对于部分阻挡或小范围完全阻挡造成的回波数据不准确情况,先进行阻挡识别,再进行线性插值处理,实现对阻挡数据的订正。论文建立了阻挡识别算法和阻挡订正算法,并利用雷达数据进行了对比验证。结果表明:利用本文的算法,可以有效地对阻挡数据进行订正,提高了雷达数据质量。Beam blockage influences the quality of weather radar measurements,causing errors in radar export products.Based on the spatial correlation of radar measurements,a new algorithm recognizing and correcting the beam blockages is proposed in the paper,without relating on the Digital Elevation Model(DEM)data.This algorithm is convenient to correct weather radar reflectivity factor in case beam blockages.To do beam blockage correction of radar reflectivity factor in the situation of partial blockages or full blockages in small area,blockage recognition must be done firstly,and interpolation is done afterwards.The new algorithm proposed in this paper is tested with real radar data,and results show that the algorithm is effective to recognize and correct the beam blockages,and radar data quality is then improved.

关 键 词：空间相关性 阻挡识别订正 阈值优化 

分 类 号：P412.25[天文地球—大气科学及气象学]