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High climate model dependency of Pliocene Antarctic ice-sheet predictions

The mid-Pliocene warm period provides a natural laboratory to investigate the long-term response of the Earth’s ice-sheets and sea level in a warmer-than-present-day world. Proxy data suggest that during the warm Pliocene, portions of the Antarctic ice-sheets, including West Antarctica could have be...

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Bibliographic Details
Published in:Nature communications 2018-07, Vol.9 (1), p.2799-12, Article 2799
Main Authors: Dolan, Aisling M., de Boer, Bas, Bernales, Jorge, Hill, Daniel J., Haywood, Alan M.
Format: Article
Language:English
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Summary:The mid-Pliocene warm period provides a natural laboratory to investigate the long-term response of the Earth’s ice-sheets and sea level in a warmer-than-present-day world. Proxy data suggest that during the warm Pliocene, portions of the Antarctic ice-sheets, including West Antarctica could have been lost. Ice-sheet modelling forced by Pliocene climate model outputs is an essential way to improve our understanding of ice-sheets during the Pliocene. However, uncertainty exists regarding the degree to which results are model-dependent. Using climatological forcing from an international climate modelling intercomparison project, we demonstrate the high dependency of Antarctic ice-sheet volume predictions on the climate model-based forcing used. In addition, the collapse of the vulnerable marine basins of Antarctica is dependent on the ice-sheet model used. These results demonstrate that great caution is required in order to avoid making unsound statements about the nature of the Pliocene Antarctic ice-sheet based on model results that do not account for structural uncertainty in both the climate and ice sheet models. Ice sheet models forced by climate model output indicate ice-sheet retreat during the Pliocene, yet concerns remain regarding potential model bias. Here, the authors present results from the Pliocene Ice-sheet Modelling Intercomparison Project, and show that results are highly dependent on the model forcing used.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-018-05179-4