Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4307-2017
https://doi.org/10.5194/gmd-10-4307-2017
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, Robert P. Link, and Katherine V. Calvin

Related authors

Uncertainty-informed selection of CMIP6 Earth System Model subsets for use in multisectoral and impact models
Abigail Snyder, Noah Prime, Claudia Tebaldi, and Kalyn Dorheim
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2023-41,https://doi.org/10.5194/esd-2023-41, 2024
Revised manuscript under review for ESD
Short summary
The need for carbon emissions-driven climate projections in CMIP7
Benjamin Mark Sanderson, Ben B. B. Booth, John Dunne, Veronika Eyring, Rosie A. Fisher, Pierre Friedlingstein, Matthew J. Gidden, Tomohiro Hajima, Chris D. Jones, Colin Jones, Andrew King, Charles D. Koven, David M. Lawrence, Jason Lowe, Nadine Mengis, Glen P. Peters, Joeri Rogelj, Chris Smith, Abigail C. Snyder, Isla R. Simpson, Abigail L. S. Swann, Claudia Tebaldi, Tatiana Ilyina, Carl-Friedrich Schleussner, Roland Seferian, Bjørn Hallvard Samset, Detlef van Vuuren, and Sönke Zaehle
EGUsphere, https://doi.org/10.5194/egusphere-2023-2127,https://doi.org/10.5194/egusphere-2023-2127, 2023
Short summary
STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations
Claudia Tebaldi, Abigail Snyder, and Kalyn Dorheim
Earth Syst. Dynam., 13, 1557–1609, https://doi.org/10.5194/esd-13-1557-2022,https://doi.org/10.5194/esd-13-1557-2022, 2022
Short summary
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
Geosci. Model Dev., 15, 429–447, https://doi.org/10.5194/gmd-15-429-2022,https://doi.org/10.5194/gmd-15-429-2022, 2022
Short summary
The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0)
James A. Franke, Christoph Müller, Joshua Elliott, Alex C. Ruane, Jonas Jägermeyr, Abigail Snyder, Marie Dury, Pete D. 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 J. Moyer
Geosci. Model Dev., 13, 3995–4018, https://doi.org/10.5194/gmd-13-3995-2020,https://doi.org/10.5194/gmd-13-3995-2020, 2020
Short summary

Related subject area

Biogeosciences
In silico calculation of soil pH by SCEPTER v1.0
Yoshiki Kanzaki, Isabella Chiaravalloti, Shuang Zhang, Noah J. Planavsky, and Christopher T. Reinhard
Geosci. Model Dev., 17, 4515–4532, https://doi.org/10.5194/gmd-17-4515-2024,https://doi.org/10.5194/gmd-17-4515-2024, 2024
Short summary
Simple process-led algorithms for simulating habitats (SPLASH v.2.0): robust calculations of water and energy fluxes
David Sandoval, Iain Colin Prentice, and Rodolfo L. B. Nóbrega
Geosci. Model Dev., 17, 4229–4309, https://doi.org/10.5194/gmd-17-4229-2024,https://doi.org/10.5194/gmd-17-4229-2024, 2024
Short summary
A global behavioural model of human fire use and management: WHAM! v1.0
Oliver Perkins, Matthew Kasoar, Apostolos Voulgarakis, Cathy Smith, Jay Mistry, and James D. A. Millington
Geosci. Model Dev., 17, 3993–4016, https://doi.org/10.5194/gmd-17-3993-2024,https://doi.org/10.5194/gmd-17-3993-2024, 2024
Short summary
Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes
Amos P. K. Tai, David H. Y. Yung, and Timothy Lam
Geosci. Model Dev., 17, 3733–3764, https://doi.org/10.5194/gmd-17-3733-2024,https://doi.org/10.5194/gmd-17-3733-2024, 2024
Short summary
biospheremetrics v1.0.2: an R package to calculate two complementary terrestrial biosphere integrity indicators – human colonization of the biosphere (BioCol) and risk of ecosystem destabilization (EcoRisk)
Fabian Stenzel, Johanna Braun, Jannes Breier, Karlheinz Erb, Dieter Gerten, Jens Heinke, Sarah Matej, Sebastian Ostberg, Sibyll Schaphoff, and Wolfgang Lucht
Geosci. Model Dev., 17, 3235–3258, https://doi.org/10.5194/gmd-17-3235-2024,https://doi.org/10.5194/gmd-17-3235-2024, 2024
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.
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.