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Cited by 332

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Inter‐annual to multi‐decadal Arctic sea ice extent trends in a warming world

Kay, Jennifer E., Holland, Marika M., Jahn, Alexandra·2011·Geophysical Research Letters

Abstract

A climate model (CCSM4) is used to investigate the influence of anthropogenic forcing on late 20th century and early 21st century Arctic sea ice extent trends. On all timescales examined (2–50+ years), the most extreme negative observed late 20th century trends cannot be explained by modeled natural variability alone. Modeled late 20th century ice extent loss also cannot be explained by natural causes alone, but the six available CCSM4 ensemble members exhibit a large spread in their late 20th century ice extent loss. Comparing trends from the CCSM4 ensemble to observed trends suggests that internal variability explains approximately half of the observed 1979–2005 September Arctic sea ice extent loss. In a warming world, CCSM4 shows that multi‐decadal negative trends increase in frequency and magnitude, and that trend variability on 2–10 year timescales increases. Furthermore, when internal variability counteracts anthropogenic forcing, positive trends on 2–20 year timescales occur until the middle of the 21st century.

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Metadata

Authors
Kay, J. E., Holland, M. M., & Jahn, A.
Venue
Geophysical Research Letters
Published
2011-08
Volume
38
Issue
15
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2136562363
Cited by
332
References
17
FWCI
12.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inter‐annual to multi‐decadal Arctic sea ice extent trends in a warming world. https://app.cochat.ai/papers/10.1029/2011gl048008
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Kay, J. E., Holland, M. M., & Jahn, A. (2011). Inter‐annual to multi‐decadal Arctic sea ice extent trends in a warming world. Geophysical Research Letters. https://doi.org/10.1029/2011gl048008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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