Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-2977-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-2977-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Sep 2020
Research article |
| 14 Sep 2020
| 14 Sep 2020
Seasonal transition dates can reveal biases in Arctic sea ice simulations
Abigail Smith
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research, University of Colorado, Boulder, USA
Alexandra Jahn
Department of Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research, University of Colorado, Boulder, USA
Muyin Wang
Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, USA
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, USA
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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.
The annual cycle of Arctic sea ice can be used to gain more information about how climate model...
