Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9538
AuthorsDanabasoglu, G.* 
Yeager, S. G.* 
Bailey, D.* 
Behrens, E.* 
Bentsen, M.* 
Bi, D.* 
Biastoch, A.* 
Boening, C.* 
Bozec, A.* 
Canuto, V. M.* 
Cassou, C.* 
Chassignet, E.* 
Coward, A. C.* 
Danilov, S.* 
Diansky, N.* 
Drange, H.* 
Farneti, R.* 
Fernandez, E.* 
Fogli, P. G.* 
Forget, G.* 
Fujii, Y.* 
Griffies, S. M.* 
Gusev, A.* 
Heimbach, P.* 
Howard, A.* 
Jung, T.* 
Kelley, M.* 
Large, W. G.* 
Leboissetier, A.* 
Lu, J.* 
Madec, G.* 
Marsland, S. J.* 
Masina, S.* 
Navarra, A.* 
Nurser, A. J. G.* 
Pirani, A.* 
Salas y Melia, D.* 
Samuels, B. L.* 
Scheinert, M.* 
Sidorenko, D.* 
Treguier, A.* 
Tsujino, H.* 
Uotila, P.* 
Valcke, S.* 
Voldoire, A.* 
Wangi, Q.* 
TitleNorth Atlantic simulations in Coordinated Ocean-ice Reference Experiments phase II (CORE-II). Part I: Mean states
Issue DateJan-2014
Series/Report no./73(2014)
DOI10.1016/j.ocemod.2013.10.005
URIhttp://hdl.handle.net/2122/9538
KeywordsGlobal ocean–sea-ice modelling
Ocean model comparisons
Atmospheric forcing
Experimental design
Atlantic meridional overturning circulation
North Atlantic simulations
Subject Classification03. Hydrosphere::03.03. Physical::03.03.03. Interannual-to-decadal ocean variability 
AbstractSimulation characteristics from eighteen global ocean–sea-ice coupled models are presented with a focus on the mean Atlantic meridional overturning circulation (AMOC) and other related fields in the North Atlantic. These experiments use inter-annually varying atmospheric forcing data sets for the 60- 1 Please note that this is an author-produced PDF of an article accepted for publication following peer review. The definitive publisher-authenticated version is available on the publisher Web site year period from 1948 to 2007 and are performed as contributions to the second phase of the Coordinated Ocean-ice Reference Experiments (CORE-II). The protocol for conducting such CORE-II experiments is summarized. Despite using the same atmospheric forcing, the solutions show significant differences. As most models also differ from available observations, biases in the Labrador Sea region in upper-ocean potential temperature and salinity distributions, mixed layer depths, and sea-ice cover are identified as contributors to differences in AMOC. These differences in the solutions do not suggest an obvious grouping of the models based on their ocean model lineage, their vertical coordinate representations, or surface salinity restoring strengths. Thus, the solution differences among the models are attributed primarily to use of different subgrid scale parameterizations and parameter choices as well as to differences in vertical and horizontal grid resolutions in the ocean models. Use of a wide variety of sea-ice models with diverse snow and sea-ice albedo treatments also contributes to these differences. Based on the diagnostics considered, the majority of the models appear suitable for use in studies involving the North Atlantic, but some models require dedicated development effort.
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