Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-429-2022
https://doi.org/10.5194/gmd-15-429-2022
Development and technical paper
 | 
19 Jan 2022
Development and technical paper |  | 19 Jan 2022

Modeling land use and land cover change: using a hindcast to estimate economic parameters in gcamland v2.0

Katherine V. Calvin, Abigail Snyder, Xin Zhao, and Marshall Wise

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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 Katherine Calvin on behalf of the Authors (24 Feb 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Mar 2021) by Christian Folberth
RR by Anonymous Referee #2 (06 May 2021)
ED: Reconsider after major revisions (14 May 2021) by Christian Folberth
AR by Katherine Calvin on behalf of the Authors (24 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Jul 2021) by Christian Folberth
RR by Anonymous Referee #2 (19 Jul 2021)
ED: Reconsider after major revisions (28 Jul 2021) by Christian Folberth
AR by Katherine Calvin on behalf of the Authors (16 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Oct 2021) by Christian Folberth
RR by Anonymous Referee #2 (22 Nov 2021)
ED: Publish subject to minor revisions (review by editor) (22 Nov 2021) by Christian Folberth
AR by Katherine Calvin on behalf of the Authors (01 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (03 Dec 2021) by Christian Folberth
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Short summary
Future changes in land use and cover have important implications for agriculture, energy, water use, and climate. In this study, we demonstrate a more systematic and empirically based approach to estimating a few key parameters for an economic model of land use and land cover change, gcamland. We identify parameter combinations that best replicate historical land use in the United States.