气候变化领域集成服务门户(CCPortal): A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: Sea ice data compilation and model differences

CCPortal

DOI	10.5194/cp-17-37-2021
	A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: Sea ice data compilation and model differences
	Kageyama M.; Sime L.C.; Sicard M.; Guarino M.-V.; De Vernal A.; Stein R.; Schroeder D.; Malmierca-Vallet I.; Abe-Ouchi A.; Bitz C.; Braconnot P.; Brady E.C.; Cao J.; Chamberlain M.A.; Feltham D.; Guo C.; Legrande A.N.; Lohmann G.; Meissner K.J.; Menviel L.; Morozova P.; Nisancioglu K.H.; Otto-Bliesner B.L.; O'Ishi R.; Buarque S.R.; Melia D.S.Y.; Sherriff-Tadano S.; Stroeve J.; Shi X.; Sun B.; Tomas R.A.; Volodin E.; Yeung N.K.H.; Zhang Q.; Zhang Z.; Zheng W.; Ziehn T.
发表日期	2021
ISSN	1814-9324
起始页码	101
结束页码	116
卷号	17 期号:1
英文摘要	The Last Interglacial period (LIG) is a period with increased summer insolation at high northern latitudes, which results in strong changes in the terrestrial and marine cryosphere. Understanding the mechanisms for this response via climate modelling and comparing the models' representation of climate reconstructions is one of the objectives set up by the Paleoclimate Modelling Intercomparison Project for its contribution to the sixth phase of the Coupled Model Intercomparison Project. Here we analyse the results from 16 climate models in terms of Arctic sea ice. The multi-model mean reduction in minimum sea ice area from the pre industrial period (PI) to the LIG reaches 50% (multi-model mean LIG area is 3.20×106km2, compared to 6.46×106km2for the PI). On the other hand, there is little change for the maximum sea ice area (which is 15-16×106km2for both the PI and the LIG. To evaluate the model results we synthesise LIG sea ice data from marine cores collected in the Arctic Ocean, Nordic Seas and northern North Atlantic. The reconstructions for the northern North Atlantic show year-round ice-free conditions, and most models yield results in agreement with these reconstructions. Model-data disagreement appear for the sites in the Nordic Seas close to Greenland and at the edge of the Arctic Ocean. The northernmost site with good chronology, for which a sea ice concentration larger than 75% is reconstructed even in summer, discriminates those models which simulate too little sea ice. However, the remaining models appear to simulate too much sea ice over the two sites south of the northernmost one, for which the reconstructed sea ice cover is seasonal. Hence models either underestimate or overestimate sea ice cover for the LIG, and their bias does not appear to be related to their bias for the pre-industrial period. Drivers for the inter-model differences are different phasing of the up and down short-wave anomalies over the Arctic Ocean, which are associated with differences in model albedo; possible cloud property differences, in terms of optical depth; and LIG ocean circulation changes which occur for some, but not all, LIG simulations. Finally, we note that inter-comparisons between the LIG simulations and simulations for future climate with moderate (1%yr-1) CO2increase show a relationship between LIG sea ice and sea ice simulated under CO2increase around the years of doubling CO2. The LIG may therefore yield insight into likely 21st century Arctic sea ice changes using these LIG simulations. © 2021 AVS Science and Technology Society. All rights reserved.
来源期刊	Climate of the Past
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/183619
作者单位	Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre Simon Laplace, Université Paris-Saclay, Gif-sur-Yvette CEDEX, 91191, France; British Antarctic Survey, Cambridge, United Kingdom; Département des Sciences de la Terre et de l'Atmosphère, Université du Québec À Montréal, Montréal, Canada; Geotop, Université du Québec À Montréal, Montréal, Canada; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; MARUM - Center for Marine Environmental Sciences and Faculty of Geosciences, University of Bremen, Bremen, Germany; Centre for Polar Observation and Modelling, Department of Meteorology, University of Reading, Reading, United Kingdom; Atmosphere and Ocean Research Institute, The University of Tokyo, Tokyo, Japan; Department of Atmospheric Sciences, University of Washington, Seattle, United States; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, United States; Earth System Modeling Center, Nanjing Universit...
推荐引用方式 GB/T 7714	Kageyama M.,Sime L.C.,Sicard M.,et al. A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: Sea ice data compilation and model differences[J],2021,17(1).
APA	Kageyama M..,Sime L.C..,Sicard M..,Guarino M.-V..,De Vernal A..,...&Ziehn T..(2021).A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: Sea ice data compilation and model differences.Climate of the Past,17(1).
MLA	Kageyama M.,et al."A multi-model CMIP6-PMIP4 study of Arctic sea ice at 127 ka: Sea ice data compilation and model differences".Climate of the Past 17.1(2021).