Abstract
AbstractTo investigate the inherent predictability of sea ice and its representation in climate models, we compare the seasonal‐to‐interannual memory of Arctic sea ice as given by lagged correlations of sea‐ice area anomalies in large model ensembles (Max Planck Institute Grand Ensemble and Coupled Model Intercomparison Project phase 6) and multiple observational products. We find that state‐of‐the‐art climate models significantly overestimate the memory of pan‐Arctic sea‐ice area from the summer months into the following year. This cannot be explained by internal variability. We further show that the observed summer memory can be disentangled regionally into a reemergence of positive correlations in the perennial ice zone and negative correlations in the seasonal ice zone; the latter giving rise to the discrepancy between observations and model simulations. These findings could explain some of the predictability gap between potential and operational forecast skill of Arctic sea‐ice area identified in previous studies.
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