Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1639-2021
https://doi.org/10.5194/gmd-14-1639-2021
Methods for assessment of models
 | 
23 Mar 2021
Methods for assessment of models |  | 23 Mar 2021

Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences

Bruno Ringeval, Christoph Müller, Thomas A. M. Pugh, Nathaniel D. Mueller, Philippe Ciais, Christian Folberth, Wenfeng Liu, Philippe Debaeke, and Sylvain Pellerin

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bruno Ringeval on behalf of the Authors (06 Jan 2021)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (20 Jan 2021) by Tomomichi Kato
RR by Anonymous Referee #2 (30 Jan 2021)
ED: Publish as is (12 Feb 2021) by Tomomichi Kato
AR by Bruno Ringeval on behalf of the Authors (17 Feb 2021)
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Short summary
We assess how and why global gridded crop models (GGCMs) differ in their simulation of potential yield. We build a GCCM emulator based on generic formalism and fit its parameters against aboveground biomass and yield at harvest simulated by eight GGCMs. Despite huge differences between GGCMs, we show that the calibration of a few key parameters allows the emulator to reproduce the GGCM simulations. Our simple but mechanistic model could help to improve the global simulation of potential yield.