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Arctic amplification dominated by temperature feedbacks in contemporary climate models

Nature Geoscience volume 7, pages 181184 (2014) | Download Citation

Abstract

Climate change is amplified in the Arctic region. Arctic amplification has been found in past warm1 and glacial2 periods, as well as in historical observations3,4 and climate model experiments5,6. Feedback effects associated with temperature, water vapour and clouds have been suggested to contribute to amplified warming in the Arctic, but the surface albedo feedback—the increase in surface absorption of solar radiation when snow and ice retreat—is often cited as the main contributor7,8,9,10. However, Arctic amplification is also found in models without changes in snow and ice cover11,12. Here we analyse climate model simulations from the Coupled Model Intercomparison Project Phase 5 archive to quantify the contributions of the various feedbacks. We find that in the simulations, the largest contribution to Arctic amplification comes from a temperature feedbacks: as the surface warms, more energy is radiated back to space in low latitudes, compared with the Arctic. This effect can be attributed to both the different vertical structure of the warming in high and low latitudes, and a smaller increase in emitted blackbody radiation per unit warming at colder temperatures. We find that the surface albedo feedback is the second main contributor to Arctic amplification and that other contributions are substantially smaller or even opposeArctic amplification.

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Acknowledgements

We gratefully acknowledge K. Block for providing the radiative kernels used here and helping with their application, B. Stevens for discussions of the research and L. Tomassini for comments and feedback on the present manuscript.

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Affiliations

  1. Max Planck Institute for MeteorologyBundesstrasse 53 Hamburg D-20146 Germany

Authors

  1. Search for Felix Pithan in:

  2. Search for Thorsten Mauritsen in:

Contributions

T.M. developed the ideas that led to this paper. F.P. developed the inverted kernel method, analysed the model data and wrote the main paper with comments and input from T.M.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Felix Pithan.

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DOI

https://doi.org/10.1038/ngeo2071

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