Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains; IOP Conference Series: Earth and Environmental Science; Vol. 211 : Environmental Observations, Modeling and Information Systems: ENVIROMIS-2018
| Parent link: | IOP Conference Series: Earth and Environmental Science Vol. 211 : Environmental Observations, Modeling and Information Systems: ENVIROMIS-2018.— 2018.— [012025, 9 p.] |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Άλλοι συγγραφείς: | , , , , , |
| Περίληψη: | 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. |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
2018
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| Σειρά: | Papers |
| Θέματα: | |
| Διαθέσιμο Online: | http://earchive.tpu.ru/handle/11683/57633 https://doi.org/10.1088/1755-1315/211/1/012025 |
| Μορφή: | Ηλεκτρονική πηγή Κεφάλαιο βιβλίου |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=659588 |
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| 200 | 1 | |a Probabilistic-statistical models of the dynamics of climatic changes in the Altai Mountains |f V. N. Ustinova [et al.] | |
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| 320 | |a [References: 19 tit.] | ||
| 330 | |a 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. | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\2499 |t IOP Conference Series: Earth and Environmental Science | |
| 463 | |t Vol. 211 : Environmental Observations, Modeling and Information Systems: ENVIROMIS-2018 |o International Conference and Early Career Scientists School, 5–11 July 2018, Tomsk, Russian Federation |o [proceedings] |v [012025, 9 p.] |d 2018 | ||
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| 701 | 1 | |a Zuev |b V. V. |c hydrogeologist |c Professor of Tomsk Polytechnic University, Doctor of physical and mathematical sciences |f 1956- |g Vladimir Vladimirovich |3 (RuTPU)RU\TPU\pers\35925 | |
| 701 | 1 | |a Bondarenko |b S. L. |g Svetlana Leonidovna | |
| 701 | 1 | |a Ustinova |b I. G. |c mathematician |c associate Professor of Tomsk Polytechnic University, candidate of technical Sciences |f 1960- |g Irina Georgievna |3 (RuTPU)RU\TPU\pers\36090 |9 19208 | |
| 701 | 1 | |a Ovchinnikov |b D. V. |g Dmitry Viktorovich | |
| 701 | 1 | |a Kirdyanov |b A. V. |g Aleksandr Viktorovich | |
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