J
Julienne Stroeve
Researcher at University of Manitoba
Publications - 217
Citations - 21766
Julienne Stroeve is an academic researcher from University of Manitoba. The author has contributed to research in topics: Sea ice & Arctic ice pack. The author has an hindex of 61, co-authored 194 publications receiving 18144 citations. Previous affiliations of Julienne Stroeve include University College London & Cooperative Institute for Research in Environmental Sciences.
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Arctic sea ice decline: Faster than forecast
TL;DR: In this paper, a multi-model ensemble mean time series provides a true representation of forced change by greenhouse gas (GHG) loading, 33-38% of the observed September trend from 1953-2006 is externally forced, growing to 47-57% from 1979-2006.
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The Arctic’s rapidly shrinking sea ice cover: a research synthesis
Julienne Stroeve,Mark C. Serreze,Marika M. Holland,Jennifer E. Kay,Jennifer E. Kay,James Malanik,Andrew P. Barrett +6 more
TL;DR: The sequence of extreme September sea ice extent minima over the past decade suggests acceleration in the response of the Arctic sea ice cover to external forcing, hastening the ongoing transition towards a seasonally open Arctic Ocean.
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Perspectives on the Arctic's Shrinking Sea-Ice Cover
TL;DR: Although the large scatter between individual model simulations leads to much uncertainty as to when a seasonally ice-free Arctic Ocean might be realized, this transition to a new arctic state may be rapid once the ice thins to a more vulnerable state.
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The emergence of surface-based Arctic amplification
TL;DR: In this article, the authors show that surface-based Arctic amplification is largely driven by loss of the sea ice cover, allowing for strong heat transfers from the ocean to the atmosphere.
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Trends in Arctic sea ice extent from CMIP5, CMIP3 and observations
Julienne Stroeve,Vladimir M. Kattsov,Andrew P. Barrett,Mark C. Serreze,Tatiana Pavlova,Marika M. Holland,Walter N. Meier +6 more
TL;DR: The authors showed that the observed downward trend in September ice extent exceeded simulated trends from most models participating in the World Climate Research Programme Coupled Model Intercomparison Project Phase 3 (CMIP3).