Parameters of Different Cloud Types over the Natural Zones of Western Siberia According to MODIS Satellite Data

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...

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Bibliographic Details
Published in:Atmospheric and oceanic optics 2020-09, Vol.33 (5), p.512-518
Main Authors: Astafurov, V. G., Skorokhodov, A. V., Kur’yanovich, K. V., Mitrofanenko, Ya. K.
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Classification
Cloud cover
Clouds
Data
Fuzzy logic
Ground-based observation
Image classification
Lasers
MODIS
Neural networks
Optical Devices
Optical Models and Databases
Optics
Parameters
Photonics
Physics
Physics and Astronomy
Regions
Satellites
Seasonal variation
Seasonal variations
Steppes
Swamps
Tundra
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Summary: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.
ISSN:1024-8560
2070-0393
DOI:10.1134/S1024856020050036