Izvestiya, Atmospheric and Oceanic Physics

, Volume 54, Issue 9, pp 1202–1213 | Cite as

Statistical Model of Physical Parameters of Clouds Based on MODIS Thematic Data

  • V. G. Astafurov
  • A. V. SkorokhodovEmail author

Abstract—A statistical model is suggested for the physical parameters of different cloud types. This model has been developed through a comparison of MODIS thematic data with the results of global cloud field classification using neural network technology. The model is a set of one- and two-parametric distributions that describe fluctuations of physical parameters of different cloud types. The distribution parameters are estimated. The comparative analysis is carried out of the parameters under study for different cloud types. The features of different cloud types are determined. The statistical model developed is compared with similar works in this field and international databases; the results show their good consistency. The statistical model suggested can be regarded as a supplement to already existing cloud field models.


neural network technology distribution laws classification goodness of fit cloudiness satellite data statistical model physical features 



The work was supported by the Russian Foundation for Basic Research (project no. 16-37-60019 mol_a_dk).


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© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of SciencesTomskRussia
  2. 2.Tomsk State University of Control Systems and RadioelectronicsTomskRussia

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