Study of phase clustering method for analyzing large volumes of meteorological observation data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The article describes an iterative parallel phase grouping algorithm for temperature field classification. The algorithm is based on modified method of structure forming by using analytic signal. The developed method allows to solve tasks of climate classification as well as climatic zoning for any time or spatial scale. When used to surface temperature measurement series, the developed algorithm allows to find climatic structures with correlated changes of temperature field, to make conclusion on climate uniformity in a given area and to overview climate changes over time by analyzing offset in type groups. The information on climate type groups specific for selected geographical areas is expanded by genetic scheme of class distribution depending on change in mutual correlation level between ground temperature monthly average.

Original languageEnglish
Title of host publication23rd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publicationAtmospheric Physics
EditorsGennadii G. Matvienko, Oleg A. Romanovskii
PublisherSPIE
ISBN (Electronic)9781510614130
DOIs
Publication statusPublished - 2017
Event23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation
Duration: 3 Jul 20177 Jul 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10466
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityIrkutsk
Period3.7.177.7.17

Keywords

  • Analytic signal
  • clustering
  • parallel algorithms
  • spectral analysis
  • temperature series

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Volkov, Y. V., Krutikov, V. A., Botygin, I. A., Sherstnev, V. S., & Sherstneva, A. I. (2017). Study of phase clustering method for analyzing large volumes of meteorological observation data. In G. G. Matvienko, & O. A. Romanovskii (Eds.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics [104665L] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10466). SPIE. https://doi.org/10.1117/12.2286873