Synchronous analysis of statistical characteristics of natural climatic processes

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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

3 Цитирования (Scopus)


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.

Язык оригиналаАнглийский
Название основной публикации23rd International Symposium on Atmospheric and Ocean Optics
Подзаголовок основной публикацииAtmospheric Physics
РедакторыGennadii G. Matvienko, Oleg A. Romanovskii
ISBN (электронное издание)9781510614130
СостояниеОпубликовано - 2017
Событие23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Российская Федерация
Продолжительность: 3 июл 20177 июл 2017

Серия публикаций

НазваниеProceedings of SPIE - The International Society for Optical Engineering
ISSN (печатное издание)0277-786X
ISSN (электронное издание)1996-756X


Конференция23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
СтранаРоссийская Федерация

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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