Climate Dynamics

, Volume 21, Issue 3–4, pp 221–232 | Cite as

Polar amplification of climate change in coupled models

  • M. M. HollandEmail author
  • C. M. Bitz


The Northern Hemisphere polar amplification of climate change is documented in models taking part in the Coupled Model Intercomparison Project and in the new version of the Community Climate System Model. In particular, the magnitude, spatial distribution, and seasonality of the surface warming in the Arctic is examined and compared among the models. The range of simulated polar warming in the Arctic is from 1.5 to 4.5 times the global mean warming. While ice-albedo feedback is likely to account for much of the polar amplification, the strength of the feedback depends on numerous physical processes and parametrizations which differ considerably among the models. Nonetheless, the mean sea-ice state in the control (or present) climate is found to influence both the magnitude and spatial distribution of the high-latitude warming in the models. In particular, the latitude of the maximum warming is correlated inversely and significantly with sea-ice extent in the control climate. Additionally, models with relatively thin Arctic ice cover in the control climate tend to have higher polar amplification. An intercomparison of model results also shows that increases in poleward ocean heat transport at high latitudes and increases in polar cloud cover are significantly correlated to amplified Arctic warming. This suggests that these changes in the climate state may modify polar amplification. No significant correlation is found between polar amplification and the control climate continental ice and snow cover.


Control Climate Maximum Warming Ocean Heat Transport Albedo Feedback Ocean Heat Uptake 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We gratefully acknowledge the CMIP modeling groups for conducting the CMIP model simulations and making the model data available. The Program for Climate Model Diagnostics and Intercomparison (PCMDI) at the Lawrence Livermore National Laboratory is also acknowledged for archiving and providing the CMIP model data. We thank Dr. Peter Gent for comments on a draft manuscript and Dr. Greg Flato for useful discussions during the course of this work. We also thank two anonymous reviewers for helpful comments. This work was supported in part by a grant from the National Science Foundation, Office of Polar Programs through the SHEBA phase 3 program to MM Holland. CM Bitz was supported by NSF grant OPP0084287.


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Copyright information

© Springer-Verlag 2003

Authors and Affiliations

  1. 1.National Center for Atmospheric Research, PO Box 3000, Boulder, CO 80307, USA
  2. 2.Polar Science Center, Applied Physics Laboratory, 1013 NE 40th St, Seattle, WA 98105, USA

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