Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1403-2017
https://doi.org/10.5194/gmd-10-1403-2017
Model evaluation paper
 | 
04 Apr 2017
Model evaluation paper |  | 04 Apr 2017

Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications

Christoph Müller, Joshua Elliott, James Chryssanthacopoulos, Almut Arneth, Juraj Balkovic, Philippe Ciais, Delphine Deryng, Christian Folberth, Michael Glotter, Steven Hoek, Toshichika Iizumi, Roberto C. Izaurralde, Curtis Jones, Nikolay Khabarov, Peter Lawrence, Wenfeng Liu, Stefan Olin, Thomas A. M. Pugh, Deepak K. Ray, Ashwan Reddy, Cynthia Rosenzweig, Alex C. Ruane, Gen Sakurai, Erwin Schmid, Rastislav Skalsky, Carol X. Song, Xuhui Wang, Allard de Wit, and Hong Yang

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Cited articles

Alfons, A. and Kraft, S.: simPopulation: Simulation of synthetic populations for surveys based on sample data, available at: https://cran.r-project.org/src/contrib/Archive/simPopulation (last access: 1 January 2015), 2013.
Basso, B., Gargiulo, O., Paustian, K., Robertson, G. P., Porter, C., Grace, P. R., and Jones, J. W.: Procedures for Initializing Soil Organic Carbon Pools in the DSSAT-CENTURY Model for Agricultural Systems, Soil Sci. Soc. Am. J., 75, 69–78, 2011.
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Short summary
Crop models are increasingly used in climate change impact research and integrated assessments. For the Agricultural Model Intercomparison and Improvement Project (AgMIP), 14 global gridded crop models (GGCMs) have supplied crop yield simulations (1980–2010) for maize, wheat, rice and soybean. We evaluate the performance of these models against observational data at global, national and grid cell level. We propose an open-access benchmark system against which future model versions can be tested.
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