Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/ascmo-10-159-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-10-159-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
30 Oct 2024
 | 30 Oct 2024

Formally combining different lines of evidence in extreme-event attribution

Friederike E. L. Otto, Clair Barnes, Sjoukje Philip, Sarah Kew, Geert Jan van Oldenborgh, and Robert Vautard

Viewed

Total article views: 2,995 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,530 240 225 2,995 51 78
  • HTML: 2,530
  • PDF: 240
  • XML: 225
  • Total: 2,995
  • BibTeX: 51
  • EndNote: 78
Views and downloads (calculated since 30 Oct 2024)
Cumulative views and downloads (calculated since 30 Oct 2024)

Viewed (geographical distribution)

Total article views: 2,906 (including HTML, PDF, and XML) Thereof 2,906 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Oct 2025
Download
Short summary
To assess the role of climate change in individual weather events, different lines of evidence need to be combined in order to draw robust conclusions about whether observed changes can be attributed to anthropogenic climate change. Here we present a transparent method, developed over 8 years, to combine such lines of evidence in a single framework and draw conclusions about the overarching role of human-induced climate change in individual weather events.
Read more
Share