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Russian Journal of Numerical Analysis and Mathematical Modelling

Editor-in-Chief: Dymnikov, Valentin P. / Kuznetsov, Yuri

Managing Editor: Vassilevski, Yuri V.

Editorial Board: Agoshkov, Valeri I. / Amosov, Andrey A. / Kaporin, Igor E. / Kobelkov, Georgy M. / Mikhailov, Gennady A. / Repin, Sergey I. / Shaidurov, Vladimir V. / Shokin, Yuri I. / Tyrtyshnikov, Eugene E.


IMPACT FACTOR 2017: 0.662

CiteScore 2017: 0.71

SCImago Journal Rank (SJR) 2017: 0.302
Source Normalized Impact per Paper (SNIP) 2017: 0.929

Mathematical Citation Quotient (MCQ) 2017: 0.13

Online
ISSN
1569-3988
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Volume 33, Issue 6

Issues

The nature of 60-year oscillations of the Arctic climate according to the data of the INM RAS climate model

Evgenii M. Volodin
Published Online: 2018-12-17 | DOI: https://doi.org/10.1515/rnam-2018-0031

Abstract

Using the data of pre-industrial experiment with the INM-CM5 climate model for the period of 1200 years, we study the mechanism of natural oscillations of Arctic climate with the period of about 60 years. It is shown that for a quarter of the period prior to the Arctic warming there is a flow of Atlantic water into the Arctic ocean (AO) being more intense than usual, the salinity and density are less than usual near the coast and shelf border. As the result of advection of Atlantic water after Arctic warming, the water near the coast and shelf border becomes more salty and heavy, which leads to a weakening of the flow of Atlantic water and the change of oscillation phase. The conclusions are confirmed by calculations of the generation of anomalies of temperature, salinity, and velocity of currents by different terms, as well as estimation of the contribution of various components to the change of oscillation phase.

Keywords: Climate oscillation; Arctic; Atlantic; ocean; mechanism; energy; phase; salinity

MSC 2010: 86A10

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About the article


Received: 2018-10-04

Accepted: 2018-10-22

Published Online: 2018-12-17

Published in Print: 2018-12-19


Funding: The work was performed in INM RAS. The numerical experiment with the climate model and the analysis of mechanisms supporting climate oscillations in Arctic were supported by the Russian Science Foundation (17–17–01295). The analysis of oscillation generation in the North Atlantic was supported by the Russian Foundation for Basic Research (17–05–00628).


Citation Information: Russian Journal of Numerical Analysis and Mathematical Modelling, Volume 33, Issue 6, Pages 359–366, ISSN (Online) 1569-3988, ISSN (Print) 0927-6467, DOI: https://doi.org/10.1515/rnam-2018-0031.

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