气候变化领域集成服务门户(CCPortal): DeepMIP: Model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data

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DOI	10.5194/cp-17-203-2021
	DeepMIP: Model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data
	Lunt D.J.; Bragg F.; Chan W.-L.; Hutchinson D.K.; Ladant J.-B.; Morozova P.; Niezgodzki I.; Steinig S.; Zhang Z.; Zhu J.; Abe-Ouchi A.; Anagnostou E.; De Boer A.M.; Coxall H.K.; Donnadieu Y.; Foster G.; Inglis G.N.; Knorr G.; Langebroek P.M.; Lear C.H.; Lohmann G.; Poulsen C.J.; Sepulchre P.; Tierney J.E.; Valdes P.J.; Volodin E.M.; Dunkley Jones T.; Hollis C.J.; Huber M.; Otto-Bliesner B.L.
发表日期	2021
ISSN	1814-9324
起始页码	183
结束页码	197
卷号	17 期号:1
英文摘要	We present results from an ensemble of eight climate models, each of which has carried out simulations of the early Eocene climate optimum (EECO, g1/4 50 million years ago). These simulations have been carried out in the framework of the Deep-Time Model Intercomparison Project (DeepMIP; http://www.deepmip.org, last access: 10 January 2021); thus, all models have been configured with the same paleogeographic and vegetation boundary conditions. The results indicate that these non-CO2 boundary conditions contribute between 3 and 5 g C to Eocene warmth. Compared with results from previous studies, the DeepMIP simulations generally show a reduced spread of the global mean surface temperature response across the ensemble for a given atmospheric CO2 concentration as well as an increased climate sensitivity on average. An energy balance analysis of the model ensemble indicates that global mean warming in the Eocene compared with the preindustrial period mostly arises from decreases in emissivity due to the elevated CO2 concentration (and associated water vapour and long-wave cloud feedbacks), whereas the reduction in the Eocene in terms of the meridional temperature gradient is primarily due to emissivity and albedo changes owing to the non-CO2 boundary conditions (i.e. the removal of the Antarctic ice sheet and changes in vegetation). Three of the models (the Community Earth System Model, CESM; the Geophysical Fluid Dynamics Laboratory, GFDL, model; and the Norwegian Earth System Model, NorESM) show results that are consistent with the proxies in terms of the global mean temperature, meridional SST gradient, and CO2, without prescribing changes to model parameters. In addition, many of the models agree well with the first-order spatial patterns in the SST proxies. However, at a more regional scale, the models lack skill. In particular, the modelled anomalies are substantially lower than those indicated by the proxies in the southwest Pacific; here, modelled continental surface air temperature anomalies are more consistent with surface air temperature proxies, implying a possible inconsistency between marine and terrestrial temperatures in either the proxies or models in this region. Our aim is that the documentation of the large-scale features and model-data comparison presented herein will pave the way to further studies that explore aspects of the model simulations in more detail, for example the ocean circulation, hydrological cycle, and modes of variability, and encourage sensitivity studies to aspects such as paleogeography, orbital configuration, and aerosols. © 2021 Copernicus GmbH. 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/183614
作者单位	School of Geographical Sciences, University of Bristol, Bristol, United Kingdom; Atmosphere and Ocean Research Institute, University of Tokyo, Tokyo, Japan; Department of Geological Sciences, Stockholm University, Stockholm, Sweden; Department of Earth and Environmental Science, University of Michigan, Ann Arbor, United States; Institute of Geography, Russian Academy of Sciences, Moscow, Russian Federation; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; ING PAN - Institute of Geological Sciences, Polish Academy of Sciences, Research Center in Kraków, Biogeosystem Modelling Group, Kraków, Poland; NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway; Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, China; GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany; Aix Marseille Univ, CNRS, IRD, INRA, Coll France, CEREGE, Aix-en-Provence, France; School of Ocean and...
推荐引用方式 GB/T 7714	Lunt D.J.,Bragg F.,Chan W.-L.,et al. DeepMIP: Model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data[J],2021,17(1).
APA	Lunt D.J..,Bragg F..,Chan W.-L..,Hutchinson D.K..,Ladant J.-B..,...&Otto-Bliesner B.L..(2021).DeepMIP: Model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data.Climate of the Past,17(1).
MLA	Lunt D.J.,et al."DeepMIP: Model intercomparison of early Eocene climatic optimum (EECO) large-scale climate features and comparison with proxy data".Climate of the Past 17.1(2021).