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  Arctic summer sea ice loss will accelerate in coming decades

Poltronieri, A., Bochow, N., Olson Aksamit, N., Boers, N., Kristen Jakobsen, P., Rypdal, M. (2024): Arctic summer sea ice loss will accelerate in coming decades. - Environmental Research Letters, 19, 7, 074032.
https://doi.org/10.1088/1748-9326/ad5194

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 Creators:
Poltronieri, Anna1, Author
Bochow, Nils2, Author              
Olson Aksamit, Nikolas1, Author
Boers, Niklas2, Author              
Kristen Jakobsen, Per1, Author
Rypdal, Martin1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The Arctic sea ice (ASI) is expected to decrease with further global warming. However, considerable uncertainty remains regarding the temperature range that would lead to a completely ice-free Arctic. Here, we combine satellite data and a large suite of models from the latest phase of the Coupled Model Intercomparison Project (CMIP6) to develop an empirical, observation-based projection of the September ASI area for increasing global mean surface temperature (GMST) values. This projection harnesses two simple linear relationships that are statistically supported by both observations and model data. First, we show that the September ASI area is linearly proportional to the area inside a specific northern hemisphere January–September mean temperature contour Tc. Second, we use observational data to show how zonally averaged temperatures have followed a positive linear trend relative to the GMST, consistent with Arctic amplification. To ensure the reliability of these observations throughout the rest of the century, we validate this trend by employing the CMIP6 ensemble. Combining these two linear relationships, we show that the September ASI area decrease will accelerate with respect to the GMST increase. Our analysis of observations and CMIP6 model data suggests a complete loss of the September ASI (area below 108 km2) for global warming between 1.5 C and 2.2 C above pre-industrial GMST levels.

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Language(s): eng - English
 Dates: 2024-06-012024-06-172024-06-17
 Publication Status: Finally published
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1748-9326/ad5194
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
Model / method: Nonlinear Data Analysis
Research topic keyword: Tipping Elements
MDB-ID: pending
OATYPE: Gold Open Access
 Degree: -

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Title: Environmental Research Letters
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 19 (7) Sequence Number: 074032 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150326
Publisher: IOP Publishing