基于东北偏振雷达冬季相态识别的研究  

Research on Winter Phase Identification based on Northeast Polarized Radar

作　　者：王浩宇 吴翀[3] 刘黎平[3] 杨华 WANG Haoyu;WU Chong;LIU Liping;YANG Hua(College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225,China;Yingkou Meteorological Bureau,Yingkou 115001,China;State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China)

机构地区：[1]成都信息工程大学电子工程学院,四川成都610225 [2]营口市气象局,辽宁营口115001 [3]中国气象科学研究院,北京1000081

出　　处：《成都信息工程大学学报》2023年第1期13-22,共10页Journal of Chengdu University of Information Technology

基　　金：国家重点研发计划资助项目(2018YFC1507401)。

摘　　要：双线偏振雷达的水凝物识别是其重要应用之一,目前国内研究多集中于沿海地区夏季强对流的研究,关于冬季粒子识别的研究相对较少。基于模糊逻辑相态识别算法,选用东北首部双偏振S波段业务雷达,对冬季粒子相态识别进行研究,对冬季零度层亮带进行识别,并将识别信息作为输入因子,运用到模糊逻辑识别算法中。算法采用梯形隶属度函数,输入因子有:水平反射率Z_(H)、差分反射率Z_(DR)、差分相移率K_(DP)、共极相关系数ρ_(HV)、标准差SD_(Z_(H))、零度层亮带信息MLH。利用2021年2月13日一次雨雪转换天气个例,对方法进行相态识别并验证。结果表明:识别效果与实际观测结果一致,能够较好地反映各粒子相态分布情况;零度层亮带信息的引入,可以优化冬季粒子识别结果;冬季零度层亮带分布形态不规则,识别难度较大;近地面处识别结果有待进一步优化。Hydrometeor identification of dual linear polarization radar is one of its important applications.At present,most domestic researches focus on the study of strong convection in coastal areas in summer,and there are relatively few studies on particle identification in winter.Based on the fuzzy logic phase state recognition algorithm,this paper selects the first dual-polarization S-band operational radar in Northeast China to study the phase state recognition of particles in winter.The research identifies the bright band of the zero-degree layer in winter,and uses the identification information as an input factor to apply it to the fuzzy logic identification algorithm.The algorithm uses a trapezoidal membership function,and the input factors are:horizontal reflectivity Z_(H),differential reflectivity Z_(DR),differential phase shift rate K_(DP),common-pole correlation coefficient hv,standard deviation SD_(Z_(H)),and MLH(melting layer height).Using a case of rain and snow conversion weather on February 13,2021,the method is used to identify and verify the phase state.The results show that:the identification effect is consistent with the actual observation results,which can better reflect the phase distribution of each particle;the introduction of the zero-degree layer bright band information can optimize the winter particle identification results;the zero-degree layer brightness in winter The distribution of the belts is irregular,and the identification is difficult;The identification results near the ground need to be further optimized.

关 键 词：双偏振 冬季粒子识别 零度层亮带 模糊逻辑算法 

分 类 号：TN95[电子电信—信号与信息处理]