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.

Data sets

Identify_crop_yield_drivers J. Vogel, P. Rivoire, C. Deidda, C. A. Sauter, and E. Tschumi https://github.com/jo-vogel/Identify_crop_yield_drivers

Download
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.
Altmetrics
Final-revised paper
Preprint