Articles | Volume 14, issue 3
Geosci. Model Dev., 14, 1639–1656, 2021
https://doi.org/10.5194/gmd-14-1639-2021
Geosci. Model Dev., 14, 1639–1656, 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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
Download
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.