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  Interannual to Decadal Climate Predictability in the North Atlantic: A Multimodel-Ensemble Study

Collins, M., Botzet, M., Carril, A. F., Drange, H., Jouzeau, A., Latif, M., et al. (2006). Interannual to Decadal Climate Predictability in the North Atlantic: A Multimodel-Ensemble Study. Journal of Climate, 19(7), 1195-1203. doi:10.1175/JCLI3654.1.

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Collins, M., Author
Botzet, M.1, 2, Author           
Carril, A. F., Author
Drange, H., Author
Jouzeau, A., Author
Latif, M.1, Author           
Masina, S., Author
Otteraa, O. H., Author
Pohlmann, H.1, Author           
Sorteberg, A., Author
Sutton, R., Author
Terray, L., Author
Affiliations:
1The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_913552              
2Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_913553              

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 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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Language(s): eng - English
 Dates: 2006-04
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 271148
DOI: 10.1175/JCLI3654.1
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Title: Journal of Climate
  Alternative Title : J. Clim.
Source Genre: Journal
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Pages: - Volume / Issue: 19 (7) Sequence Number: - Start / End Page: 1195 - 1203 Identifier: -