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

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

doi:https://doi.org/10.5194/gmd-14-1639-2021

Articles | Volume 14, issue 3

https://doi.org/10.5194/gmd-14-1639-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-1639-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 3

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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Final revised paper (published on 23 Mar 2021)
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Preprint (discussion started on 24 Jun 2020)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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SC1: 'Please note role of AgMIP in GGCMI organization', A. C. Ruane, 01 Jul 2020
- RC1: 'Potential yield simulated by Global Gridded Crop Models: a process-based emulator to explain their differences', Anonymous Referee #1, 19 Aug 2020
RC2: 'Interactive comment on “Potential yield simulated by Global Gridded Crop Models: a process-based emulator to explain their differences”by Bruno Ringeval et al.', Anonymous Referee #2, 05 Dec 2020
AC1: 'Reply to short comment and Referees' comments', Bruno Ringeval, 18 Dec 2020

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

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.