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DOI	10.1175/JCLI-D-20-0522.1
	Multi-aspect assessment of cmip6 models for arctic sea ice simulation
	Long M.; Zhang L.; Hu S.; Qian S.
发表日期	2021
ISSN	08948755
起始页码	1515
结束页码	1529
卷号	34 期号:4
英文摘要	This paper evaluates the ability of 35 models from phase 6 of the Coupled Model Intercomparison Project (CMIP6) to simulate Arctic sea ice by comparing simulated results with observation from the aspects of spatial patterns and temporal variation. The simulation ability of each model is also quantified by the Taylor score and e score from these two aspects. Results show that biases between observed and simulated Arctic sea ice concentration (SIC) are mainly located in the East Greenland, Barents, and Bering Seas and the Sea of Okhotsk. The largest difference between the observed and simulated SIC spatial patterns occurs in September. Since the beginning of the twenty-first century, the ability of most models to simulate summer SIC spatial patterns has decreased. We also find that models with the Sea Ice Simulator (SIS) sea ice component in CMIP6 show a consistent larger positive simulation biases of SIC in the East Greenland and Barents Seas. In addition, for most models, the higher the model resolution is, the better the match between the simulated and observed spatial patterns of winter Arctic SIC is. Furthermore, this paper makes a detailed assessment for temporal variation of Arctic sea ice extent (SIE) with regard to climatological average, seasonal SIE, multiyear linear trend, and detrended standard deviation of SIE. The sensitivity of September Arctic SIE to a given change of Arctic surface air temperature over 1979–2014 in each model has also been investigated. Most models simulate a smaller loss of September Arctic SIE per degree of warming than is observed (1.37 3 106 km2 K21). Ó 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy
英文关键词	Arctic; Climate models; Model comparison; Model evaluation; Sea ice
语种	英语
scopus关键词	Climate models; Climatology; American meteorological societies; Arctic surface air temperature; Copyright informations; Coupled Model Intercomparison Project; Sea-ice components; Simulated results; Standard deviation; Temporal variation; Sea ice; air temperature; air-sea interaction; climate modeling; CMIP; numerical model; sea ice; summer; twenty first century; Arctic Ocean; Barents Sea; Bering Sea; Pacific Ocean; Sea of Okhotsk
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178628
作者单位	Chinese Meteorological Administration, Nanjing University, Joint Laboratory for Climate Prediction Studies, School of Atmospheric Sciences, Nanjing University, Nanjing, China; Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China; University Corporation for Polar Research, Beijing, China; Jiangsu Collaborative Innovation Center for Climate Change, Nanjing, China
推荐引用方式 GB/T 7714	Long M.,Zhang L.,Hu S.,et al. Multi-aspect assessment of cmip6 models for arctic sea ice simulation[J],2021,34(4).
APA	Long M.,Zhang L.,Hu S.,&Qian S..(2021).Multi-aspect assessment of cmip6 models for arctic sea ice simulation.Journal of Climate,34(4).
MLA	Long M.,et al."Multi-aspect assessment of cmip6 models for arctic sea ice simulation".Journal of Climate 34.4(2021).