Articles | Volume 16, issue 4
Biogeosciences, 16, 917–926, 2019
https://doi.org/10.5194/bg-16-917-2019
Biogeosciences, 16, 917–926, 2019
https://doi.org/10.5194/bg-16-917-2019

Research article 27 Feb 2019

Research article | 27 Feb 2019

Evaluating the simulated mean soil carbon transit times by Earth system models using observations

Jing Wang et al.

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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: Publish subject to minor revisions (review by editor) (28 Nov 2018) by Jens-Arne Subke
ED: Reconsider after major revisions (05 Dec 2018) by Jens-Arne Subke
AR by Jing Wang on behalf of the Authors (09 Jan 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (25 Jan 2019) by Jens-Arne Subke
AR by Anna Mirena Feist-Polner on behalf of the Authors (30 Jan 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Feb 2019) by Jens-Arne Subke
AR by Jing Wang on behalf of the Authors (05 Feb 2019)  Author's response    Manuscript
ED: Publish as is (15 Feb 2019) by Jens-Arne Subke
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Short summary
Soil is critical in mitigating climate change mainly because soil carbon turns over much slower in soils than vegetation and the atmosphere. However, Earth system models (ESMs) have large uncertainty in simulating carbon dynamics due to their biased estimation of soil carbon transit time (τsoil). Here, the τsoil estimates from 12 ESMs that participated in CMIP5 were evaluated by a database of measured τsoil. We detected a large spatial variation in measured τsoil across the globe.
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