Articles | Volume 12, issue 1
https://doi.org/10.5194/esd-12-151-2021
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, Pauline Rivoire, Cristina Deidda, Leila Rahimi, Christoph A. Sauter, Elisabeth Tschumi, Karin van der Wiel, Tianyi Zhang, and Jakob Zscheischler

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Latest update: 20 Nov 2024
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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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