Abstract:This paper statistical analyzes the occurrence frequency of global top-level cloud type,cloud height and cloud thickness respectively by using CloudSat 2B-CLDCLASS-LIDAR data.The global distribution of the upper layer cloud is analyzed from the aspects of latitude,sea and land.The frequency,cloud height and average thickness as well as cloud height difference caused by seasonal variation are also analyzed.At last,the cloud type obtained by geostationary satellite FY-2D and CloudSat top cloud classification are made a contrast analysis.The results show that there is good consistency in cirrus clouds between the two.
赵阳, 赵增亮, 姚志刚, 符养, 孙学金. 基于卫星云分类资料的顶层云宏观特征研究[J]. 气象水文海洋仪器, 2017, 34(1): 1-7.
Zhao Yang, Zhao Zengliang, Yao Zhigang, Fu Yang, Sun Xuejin. Research of top cloud macroscopic characteristics based on CloudSat cloud classification products. Meteorological Hydrological and Marine Instrument, 2017, 34(1): 1-7.
BAUM B A,TOVINKERE V,TITLOW J,et al.Automated cloud classification of global AVHRR data using a fuzzy logic approach.[J].Journal of Applied Meteorology,1952,36(36):1519-1540.
[5]
KEY J.Cloud cover analysis with Arctic advanced very high resolution radiometer data:2.classification with spectral and textural measures[J].Journal of Geophysical Research Atmospheres,1990,95(D6):7661-7675.
[6]
KEY J R,MASLANIK J A,SCHWEIGER A J.Classification of merged AVHRR and SMMR Arctic data with neural networks[J].1989,55(9):1331.
[7]
BAUM B A,TOVINKERE V,TITLOW J,et al.Automated cloud classification of global AVHRR data using a fuzzy logic approach.[J].Journal of Applied Meteorology,1952,36(36):1519-1540.