Articles | Volume 16, issue 4
https://doi.org/10.5194/bg-16-917-2019
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, Jianyang Xia, Xuhui Zhou, Kun Huang, Jian Zhou, Yuanyuan Huang, Lifen Jiang, Xia Xu, Junyi Liang, Ying-Ping Wang, Xiaoli Cheng, and Yiqi Luo

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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: 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 Jing Wang on behalf of the Authors (28 Jan 2019)
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
AR by Jing Wang on behalf of the Authors (18 Feb 2019)  Manuscript 
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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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