Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.240 IF 5.240
  • IF 5-year value: 5.768 IF 5-year
    5.768
  • CiteScore value: 8.9 CiteScore
    8.9
  • SNIP value: 1.713 SNIP 1.713
  • IPP value: 5.53 IPP 5.53
  • SJR value: 3.18 SJR 3.18
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 51 h5-index 51
Volume 10, issue 12
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.
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

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.

Related authors

The GGCMI phase II emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0)
James Franke, Christoph Müller, Joshua Elliott, Alex C. Ruane, Jonas Jägermeyr, Abigail Snyder, Marie Dury, Pete Falloon, Christian Folberth, Louis François, Tobias Hank, R. Cesar Izaurralde, Ingrid Jacquemin, Curtis Jones, Michelle Li, Wenfeng Liu, Stefan Olin, Meridel Phillips, Thomas A. M. Pugh, Ashwan Reddy, Karina Williams, Ziwei Wang, Florian Zabel, and Elisabeth Moyer
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-365,https://doi.org/10.5194/gmd-2019-365, 2020
Revised manuscript accepted for GMD
Short summary
Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models
Robert Link, Abigail Snyder, Cary Lynch, Corinne Hartin, Ben Kravitz, and Ben Bond-Lamberty
Geosci. Model Dev., 12, 1477–1489, https://doi.org/10.5194/gmd-12-1477-2019,https://doi.org/10.5194/gmd-12-1477-2019, 2019
Short summary
A crop yield change emulator for use in GCAM and similar models: Persephone v1.0
Abigail Snyder, Katherine V. Calvin, Meridel Phillips, and Alex C. Ruane
Geosci. Model Dev., 12, 1319–1350, https://doi.org/10.5194/gmd-12-1319-2019,https://doi.org/10.5194/gmd-12-1319-2019, 2019
Short summary
GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems
Katherine Calvin, Pralit Patel, Leon Clarke, Ghassem Asrar, Ben Bond-Lamberty, Ryna Yiyun Cui, Alan Di Vittorio, Kalyn Dorheim, Jae Edmonds, Corinne Hartin, Mohamad Hejazi, Russell Horowitz, Gokul Iyer, Page Kyle, Sonny Kim, Robert Link, Haewon McJeon, Steven J. Smith, Abigail Snyder, Stephanie Waldhoff, and Marshall Wise
Geosci. Model Dev., 12, 677–698, https://doi.org/10.5194/gmd-12-677-2019,https://doi.org/10.5194/gmd-12-677-2019, 2019
Short summary

Related subject area

Biogeosciences
CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance
Joe R. Melton, Vivek K. Arora, Eduard Wisernig-Cojoc, Christian Seiler, Matthew Fortier, Ed Chan, and Lina Teckentrup
Geosci. Model Dev., 13, 2825–2850, https://doi.org/10.5194/gmd-13-2825-2020,https://doi.org/10.5194/gmd-13-2825-2020, 2020
Short summary
HR3DHG version 1: modeling the spatiotemporal dynamics of mercury in the Augusta Bay (southern Italy)
Giovanni Denaro, Daniela Salvagio Manta, Alessandro Borri, Maria Bonsignore, Davide Valenti, Enza Quinci, Andrea Cucco, Bernardo Spagnolo, Mario Sprovieri, and Andrea De Gaetano
Geosci. Model Dev., 13, 2073–2093, https://doi.org/10.5194/gmd-13-2073-2020,https://doi.org/10.5194/gmd-13-2073-2020, 2020
Short summary
BPOP-v1 model: exploring the impact of changes in the biological pump on the shelf sea and ocean nutrient and redox state
Elisa Lovecchio and Timothy M. Lenton
Geosci. Model Dev., 13, 1865–1883, https://doi.org/10.5194/gmd-13-1865-2020,https://doi.org/10.5194/gmd-13-1865-2020, 2020
Short summary
P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production
Benjamin D. Stocker, Han Wang, Nicholas G. Smith, Sandy P. Harrison, Trevor F. Keenan, David Sandoval, Tyler Davis, and I. Colin Prentice
Geosci. Model Dev., 13, 1545–1581, https://doi.org/10.5194/gmd-13-1545-2020,https://doi.org/10.5194/gmd-13-1545-2020, 2020
Short summary
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 2: Phenology and water cycle
Louis de Wergifosse, Frédéric André, Nicolas Beudez, François de Coligny, Hugues Goosse, François Jonard, Quentin Ponette, Hugues Titeux, Caroline Vincke, and Mathieu Jonard
Geosci. Model Dev., 13, 1459–1498, https://doi.org/10.5194/gmd-13-1459-2020,https://doi.org/10.5194/gmd-13-1459-2020, 2020
Short summary

Cited articles

Baldos, U. L. C. and Hertel, T. W.: Looking back to move forward on model validation: insights from a global model of agricultural land use, Environ. Res. Lett., 8, 034024, https://doi.org/10.1088/1748-9326/8/3/034024, 2013.
Beckman, J., Hertel, T., and Tyner, W.: Validating energy-oriented CGE models, Energ. Econ., 33, 799–806, 2011.
Calvin, K., Wise, M., Kyle, P., Clarke, L., and Edmonds, J.: A Hindcast Experiment Using the GCAM 3.0 Agriculture and Land-use Module, Climate Change Economics, 8, 1750005, https://doi.org/10.1142/S2010007817500051, 2017.
Clarke, L., Lurz, J., Wise, M., Edmonds, J., Kim, S., Smith, S., and Pitcher, H.: Model documentation for the minicam climate change science program stabilization scenarios: Ccsp product 2.1 a, Pacific Northwest National Laboratory, PNNL-16735, 2007.
Publications Copernicus
Download
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...
Citation