Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/2591
Authors: Collins, M.* 
Botzet, M.* 
Carril, A. F.* 
Drange, H.* 
Jouzeau, A.* 
Latif, M.* 
Masina, S.* 
Otteraa, O. H.* 
Pohlmann, H.* 
Sorteberg, A.* 
Sutton, R.* 
Terray, L.* 
Title: Interannual to Decadal Climate Predictability in the North Atlantic: A Multi-Model-Ensemble Study
Journal: J. Clim. 
Series/Report no.: 7 / 19 (2006)
Publisher: American Meteorological Society
Issue Date: 2006
DOI: 10.1175/JCLI3654.1
Keywords: Decadal Climate
North Atlantic
Subject Classification03. Hydrosphere::03.01. General::03.01.03. Global climate models 
03. Hydrosphere::03.02. Hydrology::03.02.05. Models and Forecasts 
03. Hydrosphere::03.03. Physical::03.03.03. Interannual-to-decadal ocean variability 
Abstract: Ensemble experiments are performed with five coupled atmosphere–ocean models to investigate the potential for initial-value climate forecasts on interannual to decadal time scales. Experiments are started from similar model-generated initial states, and common diagnostics of predictability are used. We find that variations in the ocean meridional overturning circulation (MOC) are potentially predictable on interannual to decadal time scales, a more consistent picture of the surface temperature impact of decadal variations in the MOC is now apparent, and variations of surface air temperatures in the North Atlantic Ocean are also potentially predictable on interannual to decadal time scales, albeit with potential skill levels that are less than those seen for MOC variations. This intercomparison represents a step forward in assessing the robustness of model estimates of potential skill and is a prerequisite for the development of any operational forecasting system.
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