Articles | Volume 12, issue 1
https://doi.org/10.5194/esd-12-103-2021
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, Aglaé Jézéquel, Juliette Legrand, Natacha Legrix, Iason Markantonis, Edoardo Vignotto, and Pascal Yiou

Viewed

Total article views: 3,110 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,274 732 104 3,110 97 92 98
  • HTML: 2,274
  • PDF: 732
  • XML: 104
  • Total: 3,110
  • Supplement: 97
  • BibTeX: 92
  • EndNote: 98
Views and downloads (calculated since 10 Jun 2020)
Cumulative views and downloads (calculated since 10 Jun 2020)

Viewed (geographical distribution)

Total article views: 3,110 (including HTML, PDF, and XML) Thereof 2,828 with geography defined and 282 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Jun 2024
Download
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.
Altmetrics
Final-revised paper
Preprint