首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于毫米波测云雷达的云粒子相态识别研究
引用本文:任雍,梁莺,刘光普,周亭亭.基于毫米波测云雷达的云粒子相态识别研究[J].新疆气象,2019,13(6):126-132.
作者姓名:任雍  梁莺  刘光普  周亭亭
作者单位:福建省大气探测技术保障中心,福建省大气探测技术保障中心,福建省大气探测技术保障中心,北京无线电测量研究所
基金项目:福建省气象局开放式研究基金项目“垂直大气综合廓线观 测数据融合系统研究”(2019KH08)
摘    要:毫米波测云雷达作为一种新型的气象探测装备,在云粒子的探测上具有一定的优势。基于毫米波测云雷达的探测数据和探空仪获取的温度数据,设计云粒子相态识别算法。采用该算法,对2017年1月19日、2月7日、3月20日的毫米波测云雷达探测数据进行了云粒子相态识别和过冷水等数据产品反演。分析结果表明,逆温层与过冷水层高度正相关,过冷水和冰晶交汇区附近会出现湿冰相和混合相,过冷水含量与融化层亮带呈一定的负相关关系,整体相态识别结果与实际相吻合,验证了粒子相态识别算法的有效性。

关 键 词:毫米波测云雷达,云粒子,相态识别,决策树,过冷水
收稿时间:2018/10/11 0:00:00
修稿时间:2019/1/15 0:00:00

A Study of Hydrometeor Distribution Characteristics in Clouds Using Millimeter-wave Cloud Radar
Ren Yong,Liang Ying,Liu Guangpu and ZhouTingting.A Study of Hydrometeor Distribution Characteristics in Clouds Using Millimeter-wave Cloud Radar[J].Bimonthly of Xinjiang Meteorology,2019,13(6):126-132.
Authors:Ren Yong  Liang Ying  Liu Guangpu and ZhouTingting
Institution:Atmospheric Sounding and Technical Support Centre of Fujian Province,Atmospheric Sounding and Technical Support Centre of Fujian Province,Atmospheric Sounding and Technical Support Centre of Fujian Province,Beijing Institute of Radio Measurement
Abstract:The cloud particle phase recognition algorithm is designed according the principle and mechanism to recognize cloud particle phase,which are adopting microwave remote sensing,this work has been done on the basis of understanding the technical performance and detection superiority of millimeter wave cloud radar.The distribution characteristics of the supercooled water in the cloud are summarized by analyzing the data of cloud particle phase of typical weather,which data are including the the Ka-band ground-based millimeter wave radar and the sounding in the actual observation experiment.The identification results are in good agreement with the cloud micro-physical process principle and observed weather condition.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《新疆气象》浏览原始摘要信息
点击此处可从《新疆气象》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号