Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-2977-2020
https://doi.org/10.5194/tc-14-2977-2020
Research article
 | 
14 Sep 2020
Research article |  | 14 Sep 2020

Seasonal transition dates can reveal biases in Arctic sea ice simulations

Abigail Smith, Alexandra Jahn, and Muyin Wang

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Short summary
The annual cycle of Arctic sea ice can be used to gain more information about how climate model simulations of sea ice compare to observations. In some models, the September sea ice area agrees with observations for the wrong reasons because biases in the timing of seasonal transitions compensate for other unrealistic sea ice characteristics. This research was done to provide new process-based metrics of Arctic sea ice using satellite observations, the CESM Large Ensemble, and CMIP6 models.