Articles | Volume 17, issue 16
https://doi.org/10.5194/bg-17-4173-2020
https://doi.org/10.5194/bg-17-4173-2020
Research article
 | 
18 Aug 2020
Research article |  | 18 Aug 2020

Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models

Vivek K. Arora, Anna Katavouta, Richard G. Williams, Chris D. Jones, Victor Brovkin, Pierre Friedlingstein, Jörg Schwinger, Laurent Bopp, Olivier Boucher, Patricia Cadule, Matthew A. Chamberlain, James R. Christian, Christine Delire, Rosie A. Fisher, Tomohiro Hajima, Tatiana Ilyina, Emilie Joetzjer, Michio Kawamiya, Charles D. Koven, John P. Krasting, Rachel M. Law, David M. Lawrence, Andrew Lenton, Keith Lindsay, Julia Pongratz, Thomas Raddatz, Roland Séférian, Kaoru Tachiiri, Jerry F. Tjiputra, Andy Wiltshire, Tongwen Wu, and Tilo Ziehn

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (10 Mar 2020) by Alexey V. Eliseev
AR by Vivek Arora on behalf of the Authors (04 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 May 2020) by Alexey V. Eliseev
ED: Publish as is (18 May 2020) by Alexey V. Eliseev

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Vivek Arora on behalf of the Authors (14 Aug 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (16 Aug 2020) by Alexey V. Eliseev
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Short summary
Since the preindustrial period, land and ocean have taken up about half of the carbon emitted into the atmosphere by humans. Comparison of different earth system models with the carbon cycle allows us to assess how carbon uptake by land and ocean differs among models. This yields an estimate of uncertainty in our understanding of how land and ocean respond to increasing atmospheric CO2. This paper summarizes results from two such model intercomparison projects that use an idealized scenario.
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