Articles | Volume 17, issue 21
https://doi.org/10.5194/bg-17-5263-2020
https://doi.org/10.5194/bg-17-5263-2020
Research article
 | 
05 Nov 2020
Research article |  | 05 Nov 2020

Uncertainties, sensitivities and robustness of simulated water erosion in an EPIC-based global gridded crop model

Tony W. Carr, Juraj Balkovič, Paul E. Dodds, Christian Folberth, Emil Fulajtar, and Rastislav Skalsky

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (15 Jul 2020) by Fortunat Joos
AR by Tony Carr on behalf of the Authors (15 Aug 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (19 Aug 2020) by Fortunat Joos
RR by Anonymous Referee #3 (30 Aug 2020)
RR by Anonymous Referee #1 (07 Sep 2020)
ED: Publish subject to minor revisions (review by editor) (14 Sep 2020) by Fortunat Joos
AR by Tony Carr on behalf of the Authors (22 Sep 2020)  Author's response   Manuscript 
ED: Publish as is (30 Sep 2020) by Fortunat Joos
AR by Tony Carr on behalf of the Authors (01 Oct 2020)
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Short summary
We generate 30-year mean water erosion estimates in global maize and wheat fields based on daily simulation outputs from an EPIC-based global gridded crop model. Evaluation against field data confirmed the robustness of the outputs for the majority of global cropland and overestimations at locations with steep slopes and strong rainfall. Additionally, we address sensitivities and uncertainties of model inputs to improve water erosion estimates in global agricultural impact studies.
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