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Mechanisms for low-frequency variability of summer Arctic sea ice extent

Open access
Zhang, Rong·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: The observed decline in summer Arctic sea ice has often been attributed, in large part, to the increase in greenhouse gases. However, the contributions from internal low-frequency variability in the climate system are not well understood. Here a multiple regression model is developed for the first time, to the author’s knowledge, to quantify the contributions of three key predictors on the internal low-frequency variability of summer Arctic sea ice extent. If the ocean heat transport into the Arctic were to weaken in the near future due to internal variability, there might be a hiatus in the decline of September Arctic sea ice, and a delay in attaining a summer ice-free Arctic. This plausible scenario with broad ecological and economic impacts should not be ignored.

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Metadata

Authors
Zhang, R.
Venue
Proceedings of the National Academy of Sciences
Published
2015-03-30
Volume
112
Issue
15
Pages
4570-4575
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2008397484
Cited by
209
References
0
FWCI
13.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mechanisms for low-frequency variability of summer Arctic sea ice extent. https://app.cochat.ai/papers/10.1073/pnas.1422296112
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Zhang, R. (2015). Mechanisms for low-frequency variability of summer Arctic sea ice extent. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1422296112

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.