Abstract
The technique of studying seasonal variations in cloud parameters over regions of Western Siberia according to satellite data is presented. Five natural zones have been identified: tundra, forest tundra, swamps, taiga, and forest steppe. A combined “summer” and “winter” classification of cloudiness is introduced; the classification includes 16 and 12 cloud types, respectively. Cloudiness images are classified using an algorithm based on neural network technologies and fuzzy logic methods. Results of analysis of seasonal variations in some parameters of different types of cloudiness and their repeatability over the considered regions of western Siberia based on MODIS satellite data for 2017 are discussed. The dependences of the seasonal variability of cloudiness parameters agree well with known literature data on ground-based observations, which corroborates the effectiveness of the proposed technique.
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