Downscaling land use and land cover from the Global Change Assessment Model
for coupling with Earth system models

Le Page, Yannick; West, Tris O.; Link, Robert; Patel, Pralit

doi:https://doi.org/10.5194/gmd-9-3055-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/gmd-9-3055-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-3055-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 9

Model description paper

|

02 Sep 2016

Model description paper |

| 02 Sep 2016

Downscaling land use and land cover from the Global Change Assessment Model for coupling with Earth system models

Yannick Le Page, Tris O. West, Robert Link, and Pralit Patel

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Final revised paper (published on 02 Sep 2016)
Supplement to the final revised paper
Preprint (discussion started on 23 May 2016)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Comments on Le Page et al.', Anonymous Referee #1, 05 Jul 2016
- AC1: 'Response to Reviewer #1', Yannick Le Page, 04 Aug 2016
RC2: 'Downscaling land use and land cover from the Global Change Assessment Model for coupling with Earth system models', Anonymous Referee #2, 12 Jul 2016
- AC2: 'Response to Reviewer #2', Yannick Le Page, 04 Aug 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Yannick Le Page on behalf of the Authors (05 Aug 2016) Author's response Manuscript

ED: Publish subject to technical corrections (10 Aug 2016) by Hisashi Sato

AR by Yannick Le Page on behalf of the Authors (10 Aug 2016) Author's response Manuscript

Short summary

A computer program was developed to transform maps of regional land use (e.g., crops) and land cover (e.g., forests) areas into gridded maps actually representing their spatial distribution within each region. This is important for studies of future environmental change: economic models project agricultural activities at the regional scale, but Earth system models need gridded information to project the impact of such activities on climate, biodiversity, water availability, and other aspects.