违反了 PRIMARY KEY 约束 'PK_t_counter'。不能在对象 'dbo.t_counter' 中插入重复键。 语句已终止。 X波段双偏振雷达水凝物粒子相态识别应用研究-A Study on Hydrometeor Classification and Application Based on X-band Dual-polarization Radar Measurements
doi:  10.3878/j.issn.1006-9585.2018.17131
X波段双偏振雷达水凝物粒子相态识别应用研究

A Study on Hydrometeor Classification and Application Based on X-band Dual-polarization Radar Measurements
摘要点击 418  全文点击 460  投稿时间:2017-08-31  
查看HTML全文   下载PDF   查看/发表评论  下载PDF阅读器
基金:  国家自然科学基金项目41575037、41605019,国家重点基础研究计划(973计划)项目2014CB441403、2013CB430105
中文关键词:  X波段双偏振雷达  数据质量控制  衰减订正  粒子识别
英文关键词:  X-band dual-polarization radar  Data quality control  Attenuation correction  Hydrometeor classification
        
作者中文名作者英文名单位
冯亮FENG Liang中国科学院大气物理研究所中国科学院云降水物理与强风暴重点实验室, 北京 100029;中国科学院减灾中心, 北京 100029;中国科学院大学, 北京 100049
肖辉XIAO Hui中国科学院大气物理研究所中国科学院云降水物理与强风暴重点实验室, 北京 100029;中国科学院减灾中心, 北京 100029;中国科学院大学, 北京 100049
孙跃SUN Yue中国科学院大气物理研究所中国科学院云降水物理与强风暴重点实验室, 北京 100029;中国科学院减灾中心, 北京 100029;中国科学院大学, 北京 100049
引用:冯亮,肖辉,孙跃.2018.X波段双偏振雷达水凝物粒子相态识别应用研究[J].气候与环境研究,23(3):366-386,doi:10.3878/j.issn.1006-9585.2018.17131.
Citation:FENG Liang,XIAO Hui,SUN Yue.2018.A Study on Hydrometeor Classification and Application Based on X-band Dual-polarization Radar Measurements[J].Climatic and Environmental Research(in Chinese),23(3):366-386,doi:10.3878/j.issn.1006-9585.2018.17131.
中文摘要:
      对云中水凝物粒子分类识别是双偏振雷达的主要应用之一。本文利用IAP-714XDP-A X波段双偏振雷达观测数据,在对其进行质量控制的基础上,利用滑动自适应订正算法对雷达反射率及差分反射率进行衰减订正,进而采用纹理参数SD(ZH)和SD(fDP)区分气象回波与非气象回波,最后建立基于X波段双偏振雷达偏振参量(ZHZDRKDPrHV)、环境温度T和纹理参数(SD(ZH)、SD(fDP))的模糊逻辑水凝物粒子分类识别算法。本文通过对2016年8月7日一次低仰角的观测,检验了纹理参数SD(ZH)和SD(fDP)对气象回波和非气象回波的识别效果,结果表明:SD(ZH)与SD(fDP)两者结合可有效区分气象回波和非气象回波;用2015年8月7日北京一次较大范围的降雹个例,对建立的模糊逻辑水凝物粒子分类识别算法进行效果验证,识别降雹落点与地面观测降雹落点一致,表明各种水凝物粒子对应偏振参量取值范围合理;对2016年9月14日一次处于不同发展阶段的多单体对流云进行水凝物粒子分类识别,结果显示处于发展阶段对流云中存在过冷水柱,其形成的微物理过程是对流云中强烈的上升气流将暖层的水滴抬升到0℃层之上形成过冷云雨水,进而冻结形成雹胚并发展成为冰雹。
Abstract:
      Hydrometeor classification is one of the most important applications of the dual-polarization radar. In this paper, based on quality-controlled observations of the IAP-714XDP-A X-band dual-polarization radar, the radar reflectivity and differential reflectivity are corrected by the slide self-consistency correction method. Texture parameters SD(ZH) and SD(fDP) are then used to distinguish between meteorological echoes and non-meteorological echoes. Finally, a fuzzy logic hydrometeor classification method is established for the X-band dual-polarization radar based on radar parameters ZH, ZDR, KDP, rHV, temperature T, and texture parameters SD(ZH) and SD(fDP). The classification of the meteorological echoes and non-meteorological echoes using SD(ZH) and SD(fDP) is verified against low-elevation observations on 7 August 2016. The results show that the combination of SD(ZH) and SD(fDP) can effectively distinguish meteorological and non-meteorological (ground cluster) echoes. Based on the case study of a hail event that occurred in Beijing on 7 August 2015, the fuzzy logic hydrometeor classification method is validated. The classification results of the hail are in good agreement with the ground observation results, indicating that the input parameters of different hydrometeor classification in the method are reasonable. The method is also used to classify hydrometeors in convective clouds that were in the developing stage on 14 September 2016. It is found that the strong updraft could bring low-level raindrops up into the layer above the freezing level. These raindrops then became supercooled rain and froze to form hail embryos that can develop into hailstones.
主办单位:中国科学院大气物理研究所 单位地址:北京市9804信箱
联系电话: 010-82995048,010-82995049传真:010-82995048 邮编:100029 Email:qhhj@mail.iap.ac.cn
本系统由北京勤云科技发展有限公司设计
京ICP备09060247号