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Gokhan Danabasoglu, Steve G. Yeager, Young-Oh Kwon, Joseph J. Tribbia, Adam S. Phillips, and James W. Hurrell

and CCSM3 experiments. The results are presented in section 3 . Section 4 includes a summary and discussion. 2. Model and experiments The CCSM4 is a fully coupled model of the earth’s physical climate system. Its components are the Community Atmosphere Model version 4 with a finite volume dynamical core [Community Atmosphere Model, version 4 (CAM4); R. B. Neale et al. 2012, unpublished manuscript], the Parallel Ocean Program, version 2 (POP2; Smith et al. 2010 ); the Community Land Model

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Alicia R. Karspeck, Steve Yeager, Gokhan Danabasoglu, Tim Hoar, Nancy Collins, Kevin Raeder, Jeffrey Anderson, and Joseph Tribbia

development is part of a broader initiative at the National Center for Atmospheric Research (NCAR) to build assimilation capabilities for the atmosphere, land, sea ice, and ocean components of the community model. There is currently an array of global ocean assimilation products available to the climate-science community that employ various ocean general circulation models and assimilation algorithms. The assimilation methods used to construct these products are all least squares methods that attempt to

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Gokhan Danabasoglu, Susan C. Bates, Bruce P. Briegleb, Steven R. Jayne, Markus Jochum, William G. Large, Synte Peacock, and Steve G. Yeager

-scale parameterizations were realized through our collaborations with the university communities that participated in the U.S. Climate Variability and Predictability (CLIVAR) Climate Process Team (CPT) activities. Specifically, the CPTs on gravity current entrainment and eddy–mixed layer interactions resulted in an overflow parameterization ( Danabasoglu et al. 2010 ), a near-surface eddy flux parameterization ( Danabasoglu et al. 2008 ), a prescription for lateral tracer diffusivities that vary in the vertical

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Stephen Yeager, Alicia Karspeck, Gokhan Danabasoglu, Joe Tribbia, and Haiyan Teng

, whose general description is given in Gent et al. (2011) . The atmospheric model has a finite-volume dynamical core with a nominal 1° horizontal resolution and 26 vertical levels, and the ocean model has a nominal 1° horizontal resolution with 60 vertical levels ( Danabasoglu et al. 2012a ). The land and sea ice components share the same horizontal grids as the atmosphere and ocean models, respectively. The decadal prediction (DP) experiments are a set of initialized, fully coupled integrations

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