Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains

Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains

Podrobná bibliografie
Parent link:IOP Conference Series: Earth and Environmental Science
Vol. 211 : Environmental Observations, Modeling and Information Systems: ENVIROMIS-2018.— 2018.— [012025, 9 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет Школа базовой инженерной подготовки Отделение математики и информатики
Další autoři: Ustinova V. N. Vera Nikolaevna, Zuev V. V. Vladimir Vladimirovich, Bondarenko S. L. Svetlana Leonidovna, Ustinova I. G. Irina Georgievna, Ovchinnikov D. V. Dmitry Viktorovich, Kirdyanov A. V. Aleksandr Viktorovich
Shrnutí:Title screen
A probabilistic-statistical parameterization of time series characterizing geological and climatic processes allows determining some regularities by an autocorrelation analysis of signals which differ in nature. The use of the autocorrelation method for analyzing data related to solar and tectonic activity and characterizing the level of stratospheric ozone (total ozone content), hydrothermal regimes (De Martonne aridity index), and wood structure (maximum density of annual rings) allows us to find regularities in time series of various natural processes. Data on the maximum density of Siberian larch trees growing in the Altai Mountains made it possible to calculate the past changes in total ozone content and the aridity index in the Altai Mountains from 1900 to 2014 based on some similarities in the series and a separation of a dendrochronological signal into its main components.
Vydáno: 2018
Edice:Papers
Témata:
электронный ресурс
труды учёных ТПУ
климатические изменения
горы
Алтай
вероятностно-статистические модели
On-line přístup:http://earchive.tpu.ru/handle/11683/57633
https://doi.org/10.1088/1755-1315/211/1/012025
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659588

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