Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains
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| Автор |
Ustinova, Vera Nikolaevna
Zuev, Vladimir Vladimirovich Bondarenko, Svetlana Leonidovna Ustinova, Irina Georgievna Ovchinnikov, Dmitry Viktorovich Kirdyanov, Aleksandr Viktorovich |
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| Тематика |
климатические изменения
горы Алтай вероятностно-статистические модели |
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| Описание |
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.
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| Дата |
2020-01-27T11:08:39Z
2020-01-27T11:08:39Z 2018 |
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| Тип |
Conference Paper
Published version (info:eu-repo/semantics/publishedVersion) Conference paper (info:eu-repo/semantics/conferencePaper) |
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| Идентификатор |
Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains / V. N. Ustinova [et al.] // IOP Conference Series: Earth and Environmental Science. — Bristol : IOP Publishing, 2018. — Vol. 211 : Environmental Observations, Modeling and Information Systems: ENVIROMIS-2018 : International Conference and Early Career Scientists School, 5–11 July 2018, Tomsk, Russian Federation : [proceedings]. — [012025, 9 p.].
http://earchive.tpu.ru/handle/11683/57633 10.1088/1755-1315/211/1/012025 |
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en
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Open access (info:eu-repo/semantics/openAccess)
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IOP Publishing
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