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30 November 2017 Synchronous analysis of statistical characteristics of natural climatic processes
V. A. Tartakovsky, I. A. Botygin, A. I. Sherstneva
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Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 104665J (2017) https://doi.org/10.1117/12.2286823
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
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°С. 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.
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V. A. Tartakovsky, I. A. Botygin, and A. I. Sherstneva "Synchronous analysis of statistical characteristics of natural climatic processes", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104665J (30 November 2017); https://doi.org/10.1117/12.2286823
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KEYWORDS
Statistical analysis
Climatology
Solar processes
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