Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 4307-4319, 2017
https://doi.org/10.5194/gmd-10-4307-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model evaluation paper
29 Nov 2017
Evaluation of integrated assessment model hindcast experiments: a case study of the GCAM 3.0 land use module
Abigail C. Snyder et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
SC1: 'Executive Editor Comment on "Evaluation of Integrated Assessment Model hindcast experiments: A case study of the GCAM 3.0 land use module"', Astrid Kerkweg, 08 Jun 2017 Printer-friendly Version 
SC2: 'GCAM code availability', Abigail Snyder, 08 Jun 2017 Printer-friendly Version 
SC3: 'Access to data', Lutz Gross, 28 Jun 2017 Printer-friendly Version 
 
RC1: 'Review of manuscript', Anonymous Referee #1, 28 Jun 2017 Printer-friendly Version 
 
RC2: 'review', Anonymous Referee #2, 21 Jul 2017 Printer-friendly Version 
 
AC1: 'Author Final Response', Abigail Snyder, 26 Aug 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Abigail Snyder on behalf of the Authors (01 Sep 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (26 Sep 2017) by David Lawrence
RR by Anonymous Referee #1 (10 Oct 2017)  
RR by Anonymous Referee #2 (11 Oct 2017)  
ED: Publish subject to minor revisions (Editor review) (12 Oct 2017) by David Lawrence  
AR by Abigail Snyder on behalf of the Authors (13 Oct 2017)  Author's response  Manuscript
ED: Publish as is (16 Oct 2017) by David Lawrence
CC BY 4.0
Publications Copernicus
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Short summary
Experiments conducting a model forecast for a period in which observational data are available are rarely undertaken in the integrated assessment model (IAM) community. When undertaken, results are often evaluated using global aggregates that mask deficiencies. Comparing land allocation simulations in GCAM with FAO observational data from 1990 to 2010, we find quantitative evidence that global aggregates alone are not sufficient for evaluating IAMs with global supply constraints similar to GCAM.
Experiments conducting a model forecast for a period in which observational data are available...
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