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Statistical Modeling of Air-Sea Turbulent Heat Fluxes by Finite Mixtures of Gaussian Distributions

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Book cover Information Technologies and Mathematical Modelling - Queueing Theory and Applications (ITMM 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 564))

Abstract

The approach originally developed for the investigation of the traffic, that is, the intensities of information flows in financial markets, is applied for the statistical analysis of climatic data. The statistical regularities in the behavior of sensible and latent turbulent heat fluxes recomputed from 6-hourly NCEP-NCAR for the period \(1948-2008\) in Atlantic are analyzed. It is proposed to represent these regularities by probability distributions that are mixtures of several normal (Gaussian) laws with parameters varying in time. The method of moving separation of mixtures is used to obtain the values of the parameters of the mixtures. This approach allows to analyze the regularities in the variation of the parameters and, hence, to capture the low-term variability which can be considered as a trend and high-term dynamics associated with diffusion or irregular variability.

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Acknowledgments

The research is supported by the Russian Foundation for Basic Research (project 15-37-20851) and by the President Grant for Government Support of Young Russian Scientists (project MK-4103.2014.9).

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Authors and Affiliations

  1. Lomonosov Moscow State University, Moscow, Russia

    Victor Korolev, Sergey Gulev & Konstantin Belyaev

  2. Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia

    Victor Korolev & Andrey Gorshenin

  3. Radioengineering and Electronics, Moscow State University of Information Technologies, Moscow, Russia

    Andrey Gorshenin

  4. P.P. Shirshov Institute of Oceanology, Moscow, Russia

    Sergey Gulev & Konstantin Belyaev

Authors
  1. Victor Korolev
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  2. Andrey Gorshenin
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  3. Sergey Gulev
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  4. Konstantin Belyaev
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Corresponding author

Correspondence to Andrey Gorshenin .

Editor information

Editors and Affiliations

  1. Applied Mathematics and Computer Science, Belarusian State University, Minsk, Russia

    Alexander Dudin

  2. Tomsk State University, Tomsk, Russia

    Anatoly Nazarov

  3. Kemerovo State University, Anzhero-Sudzhensk, Russia

    Rafael Yakupov

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Korolev, V., Gorshenin, A., Gulev, S., Belyaev, K. (2015). Statistical Modeling of Air-Sea Turbulent Heat Fluxes by Finite Mixtures of Gaussian Distributions. In: Dudin, A., Nazarov, A., Yakupov, R. (eds) Information Technologies and Mathematical Modelling - Queueing Theory and Applications. ITMM 2015. Communications in Computer and Information Science, vol 564. Springer, Cham. https://doi.org/10.1007/978-3-319-25861-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-25861-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25860-7

  • Online ISBN: 978-3-319-25861-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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