首页 | 本学科首页   官方微博 | 高级检索  
     

联合星载毫米波雷达和激光雷达资料的云相态识别技术
引用本文:严卫,任建奇,陆文,吴限.联合星载毫米波雷达和激光雷达资料的云相态识别技术[J].红外与毫米波学报,2011,30(1):68-73.
作者姓名:严卫  任建奇  陆文  吴限
作者单位:解放军理工大学,气象学院,江苏,南京,211101
基金项目:国家自然科学基金40675065
摘    要:依据星载偏振激光雷达云相态识别原理,借鉴星载毫米波雷达温度阈值云相态识别方法,利用支持向量机(SVM)构建了联合CloudSat和CALIPSO卫星资料的云相态识别模型并进行了实例反演验证.SVM方法训练和测试样本集采用了CloudSat的2B-GEOPROF-LIDAR云廓线数据、CALIPSO的2级1km云层数据以...

关 键 词:毫米波雷达  激光雷达  支持向量机  云相态识别
收稿时间:4/14/2010 3:53:16 PM
修稿时间:6/8/2010 10:54:39 PM

Cloud phase discrimination technology based on spaceborne millimeter wave radar and lidar data
YAN Wei,REN Jian-Qi,LU Wen and WU Xian.Cloud phase discrimination technology based on spaceborne millimeter wave radar and lidar data[J].Journal of Infrared and Millimeter Waves,2011,30(1):68-73.
Authors:YAN Wei  REN Jian-Qi  LU Wen and WU Xian
Affiliation:Institute of Meteorology, PLA University of Science & Technology,Institute of Meteorology, PLA University of Science and Technology,Institute of Meteorology, PLA University of Science & Technology,Institute of Meteorology, PLA University of Science & Technology
Abstract:According to cloud phase discrimination theory of spaceborne polarization lidar and the idea of temperature threshold method for spaceborne millimeter wave radar, a cloud phase discrimination algorithm using CloudSat and CALIPSO Satellite data based on SVM method has been established. The training and testing data samples used for establishing SVM model mainly derive from CloudSat 2B-GEOPROF-LIDAR and CALIPSO level 2 1km cloud layer and ECMWF auxiliary temperature data products. The discrimination result is compared with CloudSat cloud phase product retrieved by temperature threshold method and CALIPSO cloud phase product and other relevant data. The research result shows that this cloud phase discrimination technique which combines radar and lidar detection data and uses SVM method has a preferable accuracy and can provide better vertical distribution information of cloud phase.
Keywords:CloudSat  CALIPSO  SVM  Cloud Phase Discrimination
本文献已被 万方数据 等数据库收录!
点击此处可从《红外与毫米波学报》浏览原始摘要信息
点击此处可从《红外与毫米波学报》下载全文
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