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

Vogel, Johannes; Rivoire, Pauline; Deidda, Cristina; Rahimi, Leila; Sauter, Christoph A.; Tschumi, Elisabeth; van der Wiel, Karin; Zhang, Tianyi; Zscheischler, Jakob

doi:https://doi.org/10.5194/esd-12-151-2021

Articles | Volume 12, issue 1

https://doi.org/10.5194/esd-12-151-2021

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

Special issue:

Understanding compound weather and climate events and related...

https://doi.org/10.5194/esd-12-151-2021

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

Articles | Volume 12, issue 1

Research article

|

10 Feb 2021

Research article |

| 10 Feb 2021

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

Johannes Vogel, Pauline Rivoire, Cristina Deidda, Leila Rahimi, Christoph A. Sauter, Elisabeth Tschumi, Karin van der Wiel, Tianyi Zhang, and Jakob Zscheischler

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Final revised paper (published on 10 Feb 2021)
Supplement to the final revised paper
Preprint (discussion started on 27 Jul 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review Vogel et al. 2020', Anonymous Referee #1, 21 Aug 2020
- AC1: 'Reply to Referee #1', Johannes Vogel, 18 Nov 2020
RC2: 'general evaluation and issues', marco moriondo, 13 Sep 2020
- AC1: 'Reply to Referee #1', Johannes Vogel, 18 Nov 2020
RC3: 'Review of "Identifying meteorological drivers of extreme impacts: an application to simulated crop yields"', Flavio Pons, 04 Nov 2020
- AC1: 'Reply to Referee #1', Johannes Vogel, 18 Nov 2020

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.