Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2761-2017
https://doi.org/10.5194/gmd-10-2761-2017
Development and technical paper
 | 
17 Jul 2017
Development and technical paper |  | 17 Jul 2017

Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version 2.1)

Joe R. Melton, Reinel Sospedra-Alfonso, and Kelly E. McCusker

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Interactive discussion

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
AR by Joe Melton on behalf of the Authors (25 Apr 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 May 2017) by Min-Hui Lo
RR by Hui Zheng (15 May 2017)
RR by Anonymous Referee #3 (25 May 2017)
ED: Publish subject to minor revisions (Editor review) (03 Jun 2017) by Min-Hui Lo
AR by Joe Melton on behalf of the Authors (07 Jun 2017)  Author's response    Manuscript
ED: Publish as is (14 Jun 2017) by Min-Hui Lo
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Short summary
Climate models have large grid cells due to the computational cost of running these complex models. Within grid cells like these, the land surface can vary dramatically impacting the exchange of water, carbon, and energy between the atmosphere and land. We use a technique to determine natural clusters of high-resolution soil texture within large grid cells and use them as inputs to our model. We find relatively low sensitivity to soil texture changes except in very dry regions and peatlands.