Attribution of Arctic Sea Ice Decline from 1953 to 2012 to Influences from Natural, Greenhouse Gas, and Anthropogenic Aerosol Forcing

Author:

Mueller B. L.1,Gillett N. P.2,Monahan A. H.1,Zwiers F. W.3

Affiliation:

1. School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada

2. Canadian Centre for Climate Modelling and Analysis, University of Victoria, Victoria, British Columbia, Canada

3. Pacific Climate Impacts Consortium, University of Victoria, Victoria, British Columbia, Canada

Abstract

The paper presents results from a climate change detection and attribution study on the decline of Arctic sea ice extent in September for the 1953–2012 period. For this period three independently derived observational datasets and simulations from multiple climate models are available to attribute observed changes in the sea ice extent to known climate forcings. Here we direct our attention to the combined cooling effect from other anthropogenic forcing agents (mainly aerosols), which has potentially masked a fraction of greenhouse gas–induced Arctic sea ice decline. The presented detection and attribution framework consists of a regression model, namely, regularized optimal fingerprinting, where observations are regressed onto model-simulated climate response patterns (i.e., fingerprints). We show that fingerprints from greenhouse gas, natural, and other anthropogenic forcings are detected in the three observed records of Arctic sea ice extent. Beyond that, our findings indicate that for the 1953–2012 period roughly 23% of the greenhouse gas–induced negative sea ice trend has been offset by a weak positive sea ice trend attributable to other anthropogenic forcing. We show that our detection and attribution results remain robust in the presence of emerging nonstationary internal climate variability acting upon sea ice using a perfect model experiment and data from two large ensembles of climate simulations.

Funder

CanSISE

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference65 articles.

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3. Bajish, C. C., C. Haas, and M. Pittana, 2015: Evaluation of Arctic sea ice variability in CanSISE large ensemble of CanESM-2. Proc. 2015 CanSISE Workshop, Toronto, Canada, Canadian Sea Ice and Snow Evolution Network, 29 pp.

4. The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate

5. 20th-century sea-ice variations from observational data

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