双偏振雷达粒子相态识别及验证评估  

Particle Phase Identification and Evaluation of Dual Polarization Radar

作　　者：赖晨 程昌玉[1] 高兰 李四维 LAI Chen;CHENG Changyu;GAO Lan;LI Siwei(Hubei Meteorological Information and Technology Support Center,Wuhan 430074,China;Hengyang Meteorological Office of Hunan Province,Hengyang 421001,China)

机构地区：[1]湖北省气象信息与技术保障中心,湖北武汉430074 [2]湖南省衡阳市气象局,湖南衡阳421001

出　　处：《山地气象学报》2024年第5期20-26,共7页Journal of Mountain Meteorology

基　　金：湖北省自然科学基金气象创新发展联合基金项目(2023AFD107);湖北省气象局科研项目(2023Q09)。

摘　　要：【目的】为评估双偏振雷达粒子相态识别结果。【方法】该文采用基于模糊逻辑的粒子相态识别算法,将其得出的识别结果与雷达PUP粒子识别产品结果进行对比,结合6个地面自动站降水现象仪数据,提出采用TS评分验证2种识别结果可靠性的方法。并分别挑选降水、降雪、冰雹个例进行分析验证。【结果】2种方法均能较好地反映出降水过程,5月降水有5个台站准确率达到70%以上,5个台站PUP粒子识别产品准确率高于模糊逻辑算法粒子识别产品1%左右。对于冬季降水,PUP粒子识别产品易将降水过程识别为降雪过程。2种产品均能很好地识别降雪过程。对于冰雹过程,PUP粒子识别产品能较好地识别出来,而模糊逻辑算法易将冰雹识别为霰粒子。【结论】该方法能有效评估双偏振雷达粒子相态识别结果,并应用在降水、降雪、降雹过程中。To evaluate the results of dual polarization radar particle identification,this article uses a particle phase identification algorithm based on fuzzy logic to compare the identification results with the results of radar PUP particle identification products.Combining the results of ground precipitation phenomenon instrument of six automatic weather stations,the article proposes a method using TS score to verify the reliability of the two identification results,and then selects three cases of rainfall,snow and hail for analysis and verification.The results show that both methods can better reflect the rainfall processes.In May,the accuracy of five stations exceeds 70%,and the accuracy of PUP particle recognition products of five stations is about 1%higher than that of fuzzy logic algorithm particle identification products.For winter precipitation,PUP particle identification products can easily identify the precipitation process as a snow process,so do the products of fuzzy logic algorithm.For the hail process,the PUP particle identification product can better recognize it,while the fuzzy logic algorithm tends to recognize hail particles as graupel particles.The results of dual polarization radar particle phase identification are effectively evaluated and can be applied to the forecasting of precipitation,snow and hail processes.

关 键 词：双偏振雷达 模糊逻辑粒子相态识别 PUP TS评分 

分 类 号：P412.25[天文地球—大气科学及气象学]