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气象:2012,38(6):712-721
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毫米波雷达资料融化层亮带特征的分析及识别
(1.中国气象科学研究院灾害天气国家重点实验室,北京 100081;2.成都信息工程学院,成都 610225;3.国家气象信息中心气象数据研究室,北京 100081;4.中国航天科工集团二院23所,北京 100854;5.中国气象科学研究院人工影响天气中心,北京 100081)
Analysis of the Characters of Melting Layer of Cloud Radar Data and Its Identification
(1.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Scicences, Beijing 100081;2.Chengdu University of Information Technology, Chengdu 610225;3.Laboratory of Meteorological Information, National Meteorological Information Centre, Beijing 100081;4.China Aerospace Science and Industry Corporation, Beijing 100854;5.Laboratory of Weather Modification, Chinese Academy of Meteorological Scicences, Beijing 100081)
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投稿时间:2011-06-28    修订日期:2011-11-01
中文摘要: 云的融化层亮带位置、厚度及其回波强度的垂直结构变化信息对于云和降水物理研究、人工影响天气指挥和效果评估,数值模拟云参数化均有非常重要的意义。为了了解云层融化层高度的精确位置,根据云雷达在广东、河北、吉林等不同云过程总计456个例分析(其中确认融化层明显个例34次),系统分析云雷达探测到融化层亮带宏观参量的统计情况,包括融化层厚度、反射率因子在融化层强度变化、退偏振因子在融化层的强度变化,并提出了一种结合垂直探测的云雷达探测到的雷达反射率因子(R)和退偏振因子(Ldr)垂直廓线数据,根据参量在融化层附近显著变化特性,识别零度层亮带高度和厚度的算法。同时选取个例对应观测时刻探空资料观测的0°层高度进行对比,反演的融化层高度等参数同实际情况比较接近,位于探空资料观测的0°层下方,而且退偏振因子对融化层的敏感程度大于反射率因子。
Abstract:As we well know that, it is meaningful if we obtain the exact altitude of the melting layer, its depth and much more other information about cloud, and we could utilize them in retrieving cloud microphysics, weather modification, cloud parameterization of numerical modeling and its evaluation. In order to acquaint the definite location of the metling layer in a cloud, in this paper, first of all we have analyzed 456 cases observed at Guangdong, Hebei and Jilin by our could radar during recent three years, and there are 34 cases in which appear notable metling features. Secondly we take account of the macroscopic parameters’ characteristics, such as the depth of melting layer, the variation of the radar reflectivity at the melting layer. And then one method is proposed which makes use of the vertical profile of radar reflectivity and linear depolarization ratio to identify the altitude and depth of the melting layer. Afterwards, we select and use the rawinsonde data at the same time for the same case to make comparative experiments, which show that the results of the two kinds of data are very closer, the result by inversion method is nearly below the 0° line of the rawinsonde data, and the linear depolarization ratio indicates more sensitive than the radar reflectivity to the melting layer.
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基金项目:“毫米波多普勒偏振雷达探测云能力和反演云参数方法的初步研究”(批准号:40775021)和中国气象科学研究院基本科研业务专项费资助
引用文本:
王德旺,刘黎平,仲凌志,魏艳强,汪晓滨,2012.毫米波雷达资料融化层亮带特征的分析及识别[J].气象,38(6):712-721.
WANG Dewang,LIU Liping,ZHONG Lingzhi,WEI Yanqiang,WANG Xiaobin,2012.Analysis of the Characters of Melting Layer of Cloud Radar Data and Its Identification[J].Meteor Mon,38(6):712-721.