G
Gokhan Danabasoglu
Researcher at National Center for Atmospheric Research
Publications - 199
Citations - 20740
Gokhan Danabasoglu is an academic researcher from National Center for Atmospheric Research. The author has contributed to research in topics: Climate model & Thermohaline circulation. The author has an hindex of 60, co-authored 184 publications receiving 16216 citations. Previous affiliations of Gokhan Danabasoglu include University Corporation for Atmospheric Research & University of Colorado Boulder.
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Journal ArticleDOI
The Community Climate System Model Version 4
Peter R. Gent,Gokhan Danabasoglu,Leo J. Donner,Marika M. Holland,Elizabeth Hunke,Steve R. Jayne,David M. Lawrence,Richard Neale,Philip J. Rasch,Mariana Vertenstein,Patrick H. Worley,Zong-Liang Yang,Minghua Zhang +12 more
TL;DR: The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community as mentioned in this paper, which describes developments to all CCSM components, and documents fully coupled preindustrial control runs compared to the previous version.
Journal ArticleDOI
The Community Earth System Model (CESM) large ensemble project: a community resource for studying climate change in the presence of internal climate variability
Jennifer E. Kay,Clara Deser,Adam S. Phillips,Andrew Mai,Cecile Hannay,Gary Strand,Julie M. Arblaster,Susan C. Bates,Gokhan Danabasoglu,Jim Edwards,Marika M. Holland,Paul J. Kushner,Jean-Francois Lamarque,David M. Lawrence,Keith Lindsay,A Middleton,Ernesto Munoz,Richard Neale,Keith W. Oleson,Lorenzo M. Polvani,Mariana Vertenstein +20 more
TL;DR: The Community Earth System Model (CESM) community designed the CESM Large Ensemble with the explicit goal of enabling assessment of climate change in the presence of internal climate variability as discussed by the authors.
Journal ArticleDOI
The Community Earth System Model Version 2 (CESM2)
Gokhan Danabasoglu,Jean-Francois Lamarque,Julio T. Bacmeister,David A. Bailey,Alice K. DuVivier,Jim Edwards,Louisa K. Emmons,John T. Fasullo,Rolando R. Garcia,Andrew Gettelman,Cecile Hannay,Marika M. Holland,William G. Large,Peter H. Lauritzen,David M. Lawrence,Jan T. M. Lenaerts,Keith Lindsay,William H. Lipscomb,Michael J. Mills,Richard Neale,Keith W. Oleson,Bette L. Otto-Bliesner,Adam S. Phillips,William J. Sacks,Simone Tilmes,L. van Kampenhout,Mariana Vertenstein,Alice Bertini,John M. Dennis,Clara Deser,Christopher Fischer,B. Fox-Kemper,Jennifer E. Kay,Douglas E. Kinnison,Paul J. Kushner,Vincent E. Larson,Matthew C. Long,Sheri Mickelson,J. K. Moore,Eric Nienhouse,Lorenzo M. Polvani,Philip J. Rasch,Warren G. Strand +42 more
TL;DR: The Community Earth System Model Version 2 (CESM2) as discussed by the authors is the most recent version of the Coupled Model Intercomparison Project (CMEI) coupled model.
Journal ArticleDOI
Decadal Prediction: Can It Be Skillful?
Gerald A. Meehl,Lisa Goddard,James M. Murphy,Ronald J. Stouffer,George J. Boer,Gokhan Danabasoglu,Keith W. Dixon,Marco Giorgetta,Arthur M. Greene,Ed Hawkins,Gabriele C. Hegerl,David J. Karoly,Noel Keenlyside,Masahide Kimoto,Ben P. Kirtman,Antonio Navarra,Roger S. Pulwarty,Doug Smith,Detlef Stammer,Timothy N. Stockdale +19 more
TL;DR: In this paper, an experimental framework to address decadal predictability/prediction is described and incorporated into the coordinated Coupled Model Intercomparison Model, phase 5 (CMIP5), some of which will be assessed for the IPCC Fifth Assessment Report (AR5).
Journal ArticleDOI
Coordinated Ocean-ice Reference Experiments (COREs)
Stephen M. Griffies,Arne Biastoch,Claus W. Böning,Frank O. Bryan,Gokhan Danabasoglu,Eric P. Chassignet,Matthew H. England,Rüdiger Gerdes,Helmuth Haak,Robert Hallberg,Wilco Hazeleger,Johann H. Jungclaus,William G. Large,Gurvan Madec,Anna Pirani,Bonita L. Samuels,Markus Scheinert,Alex Sen Gupta,Camiel Severijns,Harper L. Simmons,Anne-Marie Tréguier,Michael Winton,Stephen Yeager,Jianjun Yin +23 more
TL;DR: Coordinated Ocean-ice Reference Experiments (COREs) as mentioned in this paper is a tool to explore the behaviour of global ocean-ice models under forcing from a common atmospheric dataset, which is suitable for our purposes, even though its evaluation originally focussed more on the ocean than on the sea ice.