Informatics and Applications
2015, Volume 9, Issue 4, pp 3-13
STATISTICAL MODELING OF AIR-SEA TURBULENT HEAT FLUXES BY THE METHOD OF MOVING SEPARATION OF FINITE NORMAL MIXTURES
- V. Yu. Korolev
- A. K. Gorshenin
- S. K. Gulev
- K. P. Belyaev
Abstract
The method of moving separation of mixtures is applied to the problem of statistical modeling of regularities in explicit and latent turbulent heat fluxes. The six-hour observations in the Atlantic region (NCEP- NCAR, 1948-2008) are used as initial data. The basic approximate mathematical model is a finite normal mixture with parameters depending on time. The methodology of moving separation of mixtures allows one to analyze the regularities in the variation of parameters and to capture the variability which can be associated with the trend as well as the irregular variation. An approach is proposed to the determination of the proportion of extreme observations in the original sample.
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[+] About this article
Title
STATISTICAL MODELING OF AIR-SEA TURBULENT HEAT FLUXES BY THE METHOD OF MOVING SEPARATION OF FINITE NORMAL MIXTURES
Journal
Informatics and Applications
2015, Volume 9, Issue 4, pp 3-13
Cover Date
2015-02-30
DOI
10.14357/19922264150401
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
finite normal mixtures; moving separation of mixtures; probabilistic models; data mining
Authors
V. Yu. Korolev  ,  ,
A. K. Gorshenin ,  ,
S. K. Gulev  ,  ,  ,
and K. P. Belyaev , 
Author Affiliations
Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University,
1-52 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
Institute of Informatics Problems, Federal Research Center “Computer Sciences and Control” of the Russian
Academy of Sciences, 44-2 Vavilov Str.,Moscow 119333, Russian Federation
Moscow State University of Information Technologies, Radioengineering, and Electronics, 78 Vernadskogo Ave.,
Moscow 119454, Russian Federation
Faculty of Geography, M.V. Lomonosov Moscow State University, 1 Leninskiye Gory, GSP-1, Moscow 119991, Russian Federation
P. P. Shirshov Institute of Oceanology, 36 Nakhimovski Prosp., Moscow 117997, Russian Federation
University of Kiel, Christian-Albrechts-Universitat zu Kiel, 4 Christian-Albrechts-Platz, Kiel 24098, Germany
Federal University of Bahia, RuaAdhemarde Barros, no 500, Ondina, 40.710-110, Salvador, Bahia, Brazil
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