Articles | Volume 10, issue 5
Research article
21 Oct 2016
Research article |  | 21 Oct 2016

Assessment of Arctic and Antarctic sea ice predictability in CMIP5 decadal hindcasts

Chao-Yuan Yang, Jiping Liu, Yongyun Hu, Radley M. Horton, Liqi Chen, and Xiao Cheng

Data sets

Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data D. J. Cavalieri, C. L. Parkinson, P. Gloersen, and H. J. Zwally

Sea Ice Index, updated daily F. Fetterer, K. Knowles, W. Meier, and M. Savoie

Understanding and predicting Antarctic sea ice variability at the decadal timescale – “PREDANTAR” H. Goosse, S. Close, S. Dubinkina, F. Massonnet, V. Zunz, S. Vannitsem, B. V. Schaeybroeck, A. Barth, and M. Canter en-project_results.html

Arctic Report Card 2015 M. O. Jeffries, J. Richter-Menge, and J. E. Overland (Eds.) reportcard

Coupled Model Intercomparison Project phase 5 (CMIP5) model output WCRP http://

Short summary
The anomaly correlation analysis between the decadal hindcast and observed sea ice suggests that in the Arctic, the areas showing significant predictive skill become broader associated with increasing lead times. This area expansion is largely because nearly all the models are capable of predicting the observed decreasing Arctic sea ice cover. Antarctic sea ice decadal hindcasts do not show broad predictive skill at any timescales.