Articles | Volume 12, issue 1
Earth Syst. Dynam., 12, 103–120, 2021
https://doi.org/10.5194/esd-12-103-2021

Special issue: Understanding compound weather and climate events and related...

Earth Syst. Dynam., 12, 103–120, 2021
https://doi.org/10.5194/esd-12-103-2021

Research article 02 Feb 2021

Research article | 02 Feb 2021

Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators

Peter Pfleiderer et al.

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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: Reconsider after major revisions (12 Oct 2020) by Bart van den Hurk
AR by Peter Pfleiderer on behalf of the Authors (27 Oct 2020)  Author's response    Manuscript
ED: Reconsider after major revisions (03 Nov 2020) by Bart van den Hurk
AR by Peter Pfleiderer on behalf of the Authors (13 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Nov 2020) by Bart van den Hurk
RR by Daithi Stone (11 Dec 2020)
ED: Publish as is (16 Dec 2020) by Bart van den Hurk
AR by Peter Pfleiderer on behalf of the Authors (17 Dec 2020)  Author's response    Manuscript
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Short summary
In 2016, northern France experienced an unprecedented wheat crop loss. This crop loss was likely due to an extremely warm December 2015 and abnormally high precipitation during the following spring season. Using stochastic weather generators we investigate how severe the metrological conditions leading to the crop loss could be in current climate conditions. We find that December temperatures were close to the plausible maximum but that considerably wetter springs would be possible.
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