Synchronous analysis of statistical characteristics of natural climatic processes

V. A. Tartakovsky, I. A. Botygin, A. I. Sherstneva

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

3 Citations (Scopus)

Abstract

Basing upon example of Wolf number series synchronous analysis and temperature values from 818 meteorological stations in the Northern hemisphere (1955-2010) it is shown that, for studied series, the components that differ by distinctive features matching and mismatching display extreme properties. The histograms of the primary temperature series coincide with histograms of their components except for the range of ± 3°C. Second initial moments of Wolf numbers' components match climate geography and end up in two zones with width and difference in-between equal to about a third of possible change amount. Correlating synchronization features of geosphere processes initiated by external influence, with the use of physical-geographical hierarchy, allows to solve the classification task for temperature field; i.e. it allows to decompose initial sets into subsets containing strongly connected components. There were no discrepancies with known ideas about climate processes.

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

  • Fourier coefficients
  • Fourier series
  • solar activity
  • synchronous analysis
  • temperature field
  • Wolf numbers

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

    Tartakovsky, V. A., Botygin, I. A., & Sherstneva, A. I. (2017). Synchronous analysis of statistical characteristics of natural climatic processes. In G. G. Matvienko, & O. A. Romanovskii (Eds.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics [104665J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10466). SPIE. https://doi.org/10.1117/12.2286823