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摘要
基于CloudSat卫星资料, 综合地基和天基遥感资料云特征反演算法, 开展了云分类和云相态识别方法研究, 并将所得结果分别与CloudSat数据处理中心(DPC)发布的云分类产品和CALIPSO星上载荷Lidar产品进行了比对分析和个例研讨。
Research on cloud has been one of the important and difficult problems in Meteorology for a long time. Based on the CloudSat data the cloud types and phase analysis are described in this paper; by combining cloud properties retrieve algorithms with ground-based and satellite-based remote sensing measurements. Obtained results are compared with the products provided by CloudSat data processing center (DPC) and CALIPSO/Lidar measurement, and some reasons for the obtained results are discussed.