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

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

doi:https://doi.org/10.5194/gmd-10-2761-2017

Articles | Volume 10, issue 7

https://doi.org/10.5194/gmd-10-2761-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-2761-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 7

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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Final revised paper (published on 17 Jul 2017)
Preprint (discussion started on 03 Feb 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of “Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version 2.1)”', Hui Zheng, 04 Mar 2017
RC2: 'Interactive comment on “Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version2.1)” by Melton et al.', Anonymous Referee #2, 09 Mar 2017
RC3: 'Review of GMD-2017-3: “Tiling soil textures for terrestrial ecosystem modeling via clustering analysis: a case study with CLASS-CTEM (version 2.1)”', Anonymous Referee #3, 22 Mar 2017
RC4: 'Tell us more about the hydrological differences between mean and clustered', Eleanor Blyth, 23 Mar 2017
AC1: 'Authors' reply to all reviewers', Joe Melton, 25 Apr 2017

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

AR by Joe Melton on behalf of the Authors (14 Jun 2017)

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.