Howell, FW, Haywood, AM, Otto-Bliesner, BL et al. (9 more authors) (2016) Arctic sea ice simulation in the PlioMIP ensemble. Climate of the Past, 12 (3). cp-12-749-2016. pp. 749-767. ISSN 1814-9324
Abstract
Eight general circulation models have simulated the mid-Pliocene warm period (mid-Pliocene, 3.264 to 3.025 Ma) as part of the Pliocene Modelling Intercomparison Project (PlioMIP). Here, we analyse and compare their simulation of Arctic sea ice for both the pre-industrial period and the mid-Pliocene. Mid-Pliocene sea ice thickness and extent is reduced, and the model spread of extent is more than twice the pre-industrial spread in some summer months. Half of the PlioMIP models simulate ice-free conditions in the mid-Pliocene. This spread amongst the ensemble is in line with the uncertainties amongst proxy reconstructions for mid-Pliocene sea ice extent. Correlations between mid-Pliocene Arctic temperatures and sea ice extents are almost twice as strong as the equivalent correlations for the pre-industrial simulations. The need for more comprehensive sea ice proxy data is highlighted, in order to better compare model performances.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License. |
Keywords: | sea ice; mid-Pliocene; PlioMIP; climate model; palaeoclimate |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Funding Information: | Funder Grant number EU - European Union 278636 |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 May 2016 12:56 |
Last Modified: | 25 May 2016 12:56 |
Published Version: | http://dx.doi.org/10.5194/cp-12-749-2016 |
Status: | Published |
Publisher: | European Geosciences Union (EGU) |
Identification Number: | 10.5194/cp-12-749-2016 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97095 |