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投稿时间：2009-11-26 修订日期：2010-08-20
投稿时间：2009-11-26 修订日期：2010-08-20
中文摘要: 云的垂直结构特征，无论是对天气、气候还是人工影响天气都十分重要，但业务上直接有效的观测手段十分缺乏。本文通过对比分析，确定了相对湿度阈值法分析云垂直结构的方法；利用我国气象业务探空秒数据，计算分析了不同云垂直结构，将得到的分析结果同CloudSat云雷达实测云垂直结构进行多个例的对比分析，验证了相对湿度阈值判断云垂直结构方法的可行性，及利用我国业务探空资料分析云结构的可用性；为业务应用，开发了探空秒数据的实时读取和计算方法，设计制作了云垂直结构探空分析显示图，初步形成基于我国业务探空的云结构分析技术；并实时将这些技术应用到我国60周年国庆期间几次不同天气系统云结构的时间和空间演变特征分析中，得到有意义的结果。
中文关键词: 探空， 云垂直结构， 云分析应用
Abstract:The vertical structure characteristics of clouds play an important role no matter in the weather， in the climate or in the weather modification, while there are few direct and valid observation methods in the meteorological operation. In this paper several Cloud Vertical Structure (CVS) analysis methods by rawinsonde observation (RAOBS) are compared and from which the relative humidity (RH) threshold method is chosen to analyze the CVS. The second data of our national RAOBS network are used to analyze multi case cloud vertical structure, which are then compared with CVS from CloudSat borne cloud radar. Results prove the feasibility to identify CVS by using a relative humidity threshold, and the usability of this method in routine work. For operational applications, the methods of reading and calculating RAOBS are developed, the pictures of analyzing CVS are designed, so that a cloud structure analysis technique is founded based on RAOBS of China. This technique is used in studying temporal and spatial evolutions of cloud system coupling with different weather systems during the 60th anniversary national period day, and valuable results are achieved.
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基金项目:国家“十一五”科技支撑课题（2006BAC12B07）；中国气象局2009年新技术推广项目（CMATG2009MS09）
引用文本：
周毓荃,欧建军,2010.利用探空数据分析云垂直结构的方法及其应用研究[J].气象,36(11):50-58.
ZHOU Yuquan,OU Jianjun,2010.The Method of Cloud Vertical Structure Analysis Using Rawinsonde Observation and Its Applied Research[J].Meteor Mon,36(11):50-58.
周毓荃,欧建军,2010.利用探空数据分析云垂直结构的方法及其应用研究[J].气象,36(11):50-58.
ZHOU Yuquan,OU Jianjun,2010.The Method of Cloud Vertical Structure Analysis Using Rawinsonde Observation and Its Applied Research[J].Meteor Mon,36(11):50-58.