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C波段多普勒天气雷达地物识别方法
引用本文:李丰,刘黎平,王红艳,杨川.C波段多普勒天气雷达地物识别方法[J].应用气象学报,2014,25(2):158-167.
作者姓名:李丰  刘黎平  王红艳  杨川
作者单位:1.中国气象科学研究院灾害天气国家重点实验室,北京 100081
基金项目:中国气象科学研究院基本科研业务费专项(2011Y003),中国气象局“新一代天气雷达建设业务软件系统开发项目”,十二五国家科技支撑计划课题(2012BAC22B00)
摘    要:地物回波对雷达数据应用会造成负面影响,是影响定量降水估测等产品精度的重要因素,识别并剔除地物回波是雷达基数据质量控制的一个重要内容。该文在现有S波段雷达地物识别方法的基础上,使用长治、哈尔滨两部CINRAD/CC雷达2011年观测数据,对C波段雷达地物回波特征进行分析,改进识别参量的隶属函数,建立适合C波段多普勒天气雷达的地物识别方法 (MCC方法),并对该方法进行效果检验。结果表明:S波段及C波段雷达地物回波与回波强度有关的参量分布较为相近,与降水回波的参量分布有明显区别;S波段雷达地物识别方法中与回波强度有关的参量可用于C波段雷达地物的识别,与速度有关的参量中仅中值速度可用于C波段雷达。通过统计分析与个例分析,相对于现有S波段雷达识别方法,MCC方法可显著提高C波段雷达地物回波的识别正确率,并可减少层状云降水回波的误判。

关 键 词:地物回波    模糊逻辑    质量控制
收稿时间:3/5/2013 12:00:00 AM

Identification of Ground Clutter with C band Doppler Weather Radar
Li Feng,Liu Liping,Wang Hongyan and Yang Chuan.Identification of Ground Clutter with C band Doppler Weather Radar[J].Quarterly Journal of Applied Meteorology,2014,25(2):158-167.
Authors:Li Feng  Liu Liping  Wang Hongyan and Yang Chuan
Institution:1.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 1000812.The 23rd Research Institute, China Aerospace Science & Industry Corporation, Beijing 100854
Abstract:The application of radar data is negatively affected by echoes caused by ground clutter, meanwhile these echoes from ground clutter have significant effect on rainfall estimation and radar data assimilation. As a result, it is important to identify and discriminate these echoes, which is an absolutely necessary part of radar data quality control. The ground clutter identifying algorithms in operation are mostly based on S-band Doppler weather radar, the resolution and velocity scanning mode of which are different from those of C-band radar. Few researches are carried out to discuss whether the method based on S-band is applicable to the C-band radar or not. Based on the current algorithm used for the SA radar, one method is developed for the CC radar using the data observed by radars of Changzhi and Harbin. The statistical characteristics of clutter are analyzed using data collected during 2011, and the membership functions are improved for C-band Doppler weather radar.Results show that, for S-band and C-band Doppler weather radar, parameters about reflectivity of ground clutter are similar, and there are notable differences between ground clutter and precipitation echoes. For C-band ground clutter echoes, the parameter TDBZ is greater than S-band. GDBZ value of both kinds of radar is alike, mostly below 0. SPIN value of ground clutter echoes is remarkably greater than that of precipitation echoes for both C-band and S-band radar. It shows that three parameters about reflectivity including TDBZ, GDBZ and SPIN, can be used to identify and discriminate C-band radar ground clutter echoes.For C-band radar ground clutter and precipitation echoes, only MDVE, associated with velocity, could be used to distinguish these two kinds of echoes. For MDSW and SDVE, there is no notable difference between ground clutter and precipitation. In contrast, two parameters of ground clutter are different from that of precipitation echoes for S-band radar. For S-band radar, MDSW and SDVE are both very small, mostly below 1. There are considerable numbers of values above 1 for two parameters of C-band radar. The spatial resolutions of two kinds of radars are different, which may result in the fact that MDSW and SDVE could not be used to distinguish ground clutter echoes from precipitation echoes. Besides, the velocity scan mode, the dual pulse repetition frequency may cause the phenomenon to some extent. It can also be caused by the different precisions of two kinds of radars. The velocity precision of S-band radar is 0.5 m·s-1, while the velocity of C-band radar is 0.1 m·s-1. For S-band radar, the velocity changes more smoothly than that of C-band radar. Compared with the method based on S-band radar, the identification accuracy of ground clutter is improved notably and the false detection of stratiform cloud echoes is also reduced obviously.
Keywords:ground clutter  fuzzy logical  quality control
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