气候变化领域集成服务门户(CCPortal): Seasonal transition dates can reveal biases in Arctic sea ice simulations

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DOI	10.5194/tc-14-2977-2020
	Seasonal transition dates can reveal biases in Arctic sea ice simulations
	Smith A.; Jahn A.; Wang M.
发表日期	2020
ISSN	19940416
起始页码	2977
结束页码	2997
卷号	14 期号:9
英文摘要	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 more detail than by using traditional metrics alone, such as sea ice area. We show that models capture the observed asymmetry in seasonal sea ice transitions, with spring ice loss taking about 1-2 months longer than fall ice growth. The largest impacts of internal variability are seen in the inflow regions for melt and freeze onset dates, but all metrics show pan-Arctic model spreads exceeding the internal variability range, indicating the contribution of model differences. Through climate model evaluation in the context of both observations and internal variability, we show that biases in seasonal transition dates can compensate for other unrealistic aspects of simulated sea ice. In some models, this leads to September sea ice areas in agreement with observations for the wrong reasons. © 2020 BMJ Publishing Group. All rights reserved.
英文关键词	climate modeling; ice breakup; sea ice; seasonal variation; Arctic Ocean
语种	英语
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/202212
作者单位	Department of Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research, University of Colorado, Boulder, United States; Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, United States; Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, United States
推荐引用方式 GB/T 7714	Smith A.,Jahn A.,Wang M.. Seasonal transition dates can reveal biases in Arctic sea ice simulations[J],2020,14(9).
APA	Smith A.,Jahn A.,&Wang M..(2020).Seasonal transition dates can reveal biases in Arctic sea ice simulations.Cryosphere,14(9).
MLA	Smith A.,et al."Seasonal transition dates can reveal biases in Arctic sea ice simulations".Cryosphere 14.9(2020).