Seasonal transition dates can reveal biases in Arctic sea ice simulations

<p>Arctic sea ice experiences a dramatic annual cycle, and seasonal ice loss and growth can be characterized by various metrics: melt onset, breakup, opening, freeze onset, freeze-up, and closing. By evaluating a range of seasonal sea ice metrics, CMIP6 sea ice simulations can be evaluated in...

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Bibliographic Details
Main Authors: A. Smith, A. Jahn, M. Wang
Format: Article
Language:English
Published: Copernicus Publications 2020-09-01
Series:The Cryosphere
Online Access:https://tc.copernicus.org/articles/14/2977/2020/tc-14-2977-2020.pdf