Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-551-2021
https://doi.org/10.5194/hess-25-551-2021
Research article
 | 
03 Feb 2021
Research article |  | 03 Feb 2021

Quantifying the impacts of compound extremes on agriculture

Iman Haqiqi, Danielle S. Grogan, Thomas W. Hertel, and Wolfram Schlenker

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Status: closed
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: Publish subject to revisions (further review by editor and referees) (05 Oct 2020) by Bart van den Hurk
AR by Iman Haqiqi on behalf of the Authors (09 Oct 2020)  Author's response    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (19 Oct 2020) by Bart van den Hurk
AR by Iman Haqiqi on behalf of the Authors (09 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Nov 2020) by Bart van den Hurk
RR by Anonymous Referee #2 (30 Nov 2020)
ED: Publish subject to minor revisions (review by editor) (01 Dec 2020) by Bart van den Hurk
AR by Iman Haqiqi on behalf of the Authors (12 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (16 Dec 2020) by Bart van den Hurk
AR by Iman Haqiqi on behalf of the Authors (17 Dec 2020)  Author's response    Manuscript
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Short summary
This study combines a fine-scale weather product with outputs of a hydrological model to construct functional metrics of individual and compound hydroclimatic extremes for agriculture. Then, a yield response function is estimated with individual and compound metrics focusing on corn in the United States during the 1981–2015 period. The findings suggest that metrics of compound hydroclimatic extremes are better predictors of corn yield variations than metrics of individual extremes.