Climate Dynamics

, Volume 50, Issue 11–12, pp 4599–4618 | Cite as

Tropically driven and externally forced patterns of Antarctic sea ice change: reconciling observed and modeled trends

Article

Abstract

Recent work suggests that natural variability has played a significant role in the increase of Antarctic sea ice extent during 1979–2013. The ice extent has responded strongly to atmospheric circulation changes, including a deepened Amundsen Sea Low (ASL), which in part has been driven by tropical variability. Nonetheless, this increase has occurred in the context of externally forced climate change, and it has been difficult to reconcile observed and modeled Antarctic sea ice trends. To understand observed-model disparities, this work defines the internally driven and radiatively forced patterns of Antarctic sea ice change and exposes potential model biases using results from two sets of historical experiments of a coupled climate model compared with observations. One ensemble is constrained only by external factors such as greenhouse gases and stratospheric ozone, while the other explicitly accounts for the influence of tropical variability by specifying observed SST anomalies in the eastern tropical Pacific. The latter experiment reproduces the deepening of the ASL, which drives an increase in regional ice extent due to enhanced ice motion and sea surface cooling. However, the overall sea ice trend in every ensemble member of both experiments is characterized by ice loss and is dominated by the forced pattern, as given by the ensemble-mean of the first experiment. This pervasive ice loss is associated with a strong warming of the ocean mixed layer, suggesting that the ocean model does not locally store or export anomalous heat efficiently enough to maintain a surface environment conducive to sea ice expansion. The pervasive upper-ocean warming, not seen in observations, likely reflects ocean mean-state biases.

Keywords

Antarctica Southern Ocean Sea ice Models Climate variability and change 

Notes

Acknowledgements

The authors thank the CESM Climate Variability and Change Working Group (CVCWG, http://www.cesm.ucar.edu/working_groups/CVC/) and Dr. Tingting Fan for conducting and post-processing the CESM1 Tropical Pacific Pacemaker simulations. The CESM Large Ensemble Community Project provided the LENS data. Both experiments benefited from computing resources on Yellowstone managed by NCAR-CISL and sponsored by the National Science Foundation. Drs. David Bailey, Marika Holland and Laura Landrum provided valuable discussions during the course of this work. D. Schneider was supported through NCAR and by National Science Foundation Grant 1235231. The figures were produced with the NCAR Command Language Software Package. NCAR is sponsored by the National Science Foundation. The authors also thank the individual climate modeling groups that have produced and made available the CMIP5 model output, as well as the coordination of those experiments by the World Climate Research Program’s Working Group on Coupled Modeling, and the software infrastructure for distributing model data supported by the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison. Finally, the authors thank two anonymous reviewers and the editor for constructive comments that led to an improved manuscript.

Supplementary material

382_2017_3893_MOESM1_ESM.docx (342 kb)
Supplementary material 1 (DOCX 341 KB)

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Climate and Global Dynamics LaboratoryNational Center for Atmospheric ResearchBoulderUSA

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