Geoscientific Model Development
Geoscientific Model Development
Geoscientific Model Development
Articles | Volume 8, issue 2
Articles | Volume 8, issue 2
Geosci. Model Dev., 8, 261–277, 2015
https://doi.org/10.5194/gmd-8-261-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Agricultural Model Intercomparison and Improvement Project...

Geosci. Model Dev., 8, 261–277, 2015
https://doi.org/10.5194/gmd-8-261-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 8, issue 2

Model experiment description paper 11 Feb 2015

Model experiment description paper | 11 Feb 2015

The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0)

J. Elliott1, C. Müller2, D. Deryng3, J. Chryssanthacopoulos4, K. J. Boote5, M. Büchner2, I. Foster1, M. Glotter6, J. Heinke2,7,14, T. Iizumi8, R. C. Izaurralde9, N. D. Mueller10, D. K. Ray11, C. Rosenzweig12, A. C. Ruane12, and J. Sheffield13 J. Elliott et al.
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  • 1University of Chicago & Argonne Natl. Lab Computation Institute, Chicago, Illinois, USA
  • 2Potsdam Institute for Climate Impact Research, Potsdam, Germany
  • 3Tyndall Centre, University of East Anglia, Norwich, UK
  • 4Columbia University Center for Climate Systems Research, New York, New York, USA
  • 5University of Florida Department of Agronomy, Gainesville, Florida, USA
  • 6University of Chicago Department of Geophysical Science, Chicago, Illinois, USA
  • 7International Livestock Research Institute, Nairobi, Kenya
  • 8National Institute for Agro-Environmental Sciences, Tsukuba, Ibaraki, Japan
  • 9University of Maryland Dept. of Geographical Sciences, College Park, Maryland, USA
  • 10Harvard University Center for the Environment, Cambridge, Massachusetts, USA
  • 11University of Minnesota Institute for the Environment, Saint Paul, Minnesota, USA
  • 12NASA Goddard Institute for Space Studies, New York, New York, USA
  • 13Princeton University Dept. Civil & Environ. Engineering, Princeton, New Jersey, USA
  • 14CSIRO (Commonwealth Scientific and Industrial Research Organization), St Lucia QLD 4067, Australia
Received: 03 Jun 2014 – Discussion started: 15 Jul 2014 – Revised: 19 Nov 2014 – Accepted: 23 Dec 2014 – Published: 11 Feb 2015

Abstract. We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12–15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.

How to cite. Elliott, J., Müller, C., Deryng, D., Chryssanthacopoulos, J., Boote, K. J., Büchner, M., Foster, I., Glotter, M., Heinke, J., Iizumi, T., Izaurralde, R. C., Mueller, N. D., Ray, D. K., Rosenzweig, C., Ruane, A. C., and Sheffield, J.: The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0), Geosci. Model Dev., 8, 261–277, https://doi.org/10.5194/gmd-8-261-2015, 2015.
Special issue
Agricultural Model Intercomparison and Improvement Project...
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Short summary
We present and describe the Global Gridded Crop Model Intercomparison (GGCMI) project, an ongoing international effort to 1) validate global models of crop productivity, 2) improve models through detailed analysis of processes, and 3) assess the impacts of climate change on agriculture and food security. We present analysis of data inputs for the project, detailed protocols for conducting and evaluating simulation outputs, and example results.
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