Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-3995-2020
https://doi.org/10.5194/gmd-13-3995-2020
Model description paper
 | 
03 Sep 2020
Model description paper |  | 03 Sep 2020

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

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Cited articles

Aulakh, M. S. and Malhi, S. S.: Interactions of Nitrogen with Other Nutrients and Water: Effect on Crop Yield and Quality, Nutrient Use Efficiency, Carbon Sequestration, and Environmental Pollution, Adv. Agron., 86, 341–409, https://doi.org/10.1016/S0065-2113(05)86007-9, 2005. a
Blanc, E.: Statistical emulators of maize, rice, soybean and wheat yields from global gridded crop models, Agr. Forest Meteorol., 236, 145–161, https://doi.org/10.1016/j.agrformet.2016.12.022, 2017. a, b, c
Blanc, E. and Sultan, B.: Emulating maize yields from global gridded crop models using statistical estimates, Agr. Forest Meteorol., 214-215, 134–147, https://doi.org/10.1016/j.agrformet.2015.08.256, 2015. a, b, c
Castruccio, S., McInerney, D. J., Stein, M. L., Liu Crouch, F., Jacob, R. L., and Moyer, E. J.: Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs, J. Climate, 27, 1829–1844, https://doi.org/10.1175/JCLI-D-13-00099.1, 2014. a, b
Challinor, A., Wheeler, T., Craufurd, P., Slingo, J., and Grimes, D.: Design and optimisation of a large-area process-based model for annual crops, Agr. Forest Meteorol., 124, 99–120, https://doi.org/10.1016/j.agrformet.2004.01.002, 2004. a
Short summary
Improving our understanding of the impacts of climate change on crop yields will be critical for global food security in the next century. The models often used to study the how climate change may impact agriculture are complex and costly to run. In this work, we describe a set of global crop model emulators (simplified models) developed under the Agricultural Model Intercomparison Project. Crop model emulators make agricultural simulations more accessible to policy or decision makers.
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