Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 1321-1337, 2017
https://doi.org/10.5194/gmd-10-1321-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
28 Mar 2017
Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models
Shoji Hashimoto et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Promising analysis marred by poor presentation and no reproducibility', Anonymous Referee #1, 03 Aug 2016 Printer-friendly Version 
AC1: 'Reply to the comments from Referee 1', S. Hashimoto, 07 Oct 2016 Printer-friendly Version Supplement 
 
RC2: 'More context and analysis please', Katherine Todd-Brown, 17 Aug 2016 Printer-friendly Version 
AC2: 'Reply to the comments from K. Todd-Brown', S. Hashimoto, 07 Oct 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by S. Hashimoto on behalf of the Authors (07 Oct 2016)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (08 Dec 2016) by David Ham
RR by Ben Bond-Lamberty (10 Dec 2016)  
RR by Katherine Todd-Brown (05 Jan 2017)  
ED: Reconsider after major revisions (06 Jan 2017) by David Ham  
AR by S. Hashimoto on behalf of the Authors (08 Feb 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (08 Feb 2017) by David Ham
RR by Katherine Todd-Brown (25 Feb 2017)  
ED: Publish subject to technical corrections (28 Feb 2017) by David Ham  
AR by S. Hashimoto on behalf of the Authors (06 Mar 2017)  Author's response  Manuscript
CC BY 4.0
Publications Copernicus
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Short summary
Soil organic carbon (SOC) stock simulated by Earth system models (ESMs) and those of observational databases are not well correlated when the two are compared at fine grid scales. To identify the key factors that govern global SOC distribution, we applied a data-mining scheme to observational databases and outputs from ESMs. This study not only identifies key factors but it also presents a new approach that compares the observational databases with ESM outputs.
Soil organic carbon (SOC) stock simulated by Earth system models (ESMs) and those of...
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