Abstract
We developed a method for analyzing the variations in characteristics of different cloud types on the basis of cloud classification and thematic processing of MODIS satellite data. The studies were performed using an original algorithm of recognition of 16 cloud types in snow-free periods and 12 cloud types in snow-covered period, based on the technology of artificial neural networks and fuzzy logic methods. The algorithm and software are described. We discuss the studies of seasonal and annual variations in physical parameters of different cloud types over Western Siberian climatic zones: tundra, forest-tundra, bogs, taiga, and forest-steppe.
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