Articles | Volume 12, issue 1
Earth Syst. Dynam., 12, 151–172, 2021
https://doi.org/10.5194/esd-12-151-2021

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

Earth Syst. Dynam., 12, 151–172, 2021
https://doi.org/10.5194/esd-12-151-2021

Research article 10 Feb 2021

Research article | 10 Feb 2021

Identifying meteorological drivers of extreme impacts: an application to simulated crop yields

Johannes Vogel et al.

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Interactive discussion

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 (19 Nov 2020) by Gabriele Messori
AR by Johannes Vogel on behalf of the Authors (01 Dec 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Dec 2020) by Gabriele Messori
RR by Flavio Pons (02 Dec 2020)
RR by Anonymous Referee #1 (11 Dec 2020)
RR by Anonymous Referee #2 (22 Dec 2020)
ED: Publish subject to technical corrections (28 Dec 2020) by Gabriele Messori
AR by Johannes Vogel on behalf of the Authors (31 Dec 2020)  Author's response    Manuscript
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Short summary
We present a statistical approach for automatically identifying multiple drivers of extreme impacts based on LASSO regression. We apply the approach to simulated crop failure in the Northern Hemisphere and identify which meteorological variables including climate extreme indices and which seasons are relevant to predict crop failure. The presented approach can help unravel compounding drivers in high-impact events and could be applied to other impacts such as wildfires or flooding.
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