Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 31, issue 1
Articles | Volume 31, issue 1
https://doi.org/10.5194/npg-31-115-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-31-115-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 31, issue 1
Research article
 | 
27 Feb 2024
Research article |  | 27 Feb 2024

A comparison of two causal methods in the context of climate analyses

David Docquier, Giorgia Di Capua, Reik V. Donner, Carlos A. L. Pires, Amélie Simon, and Stéphane Vannitsem

Viewed

Total article views: 851 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
624 191 36 851 21 20
  • HTML: 624
  • PDF: 191
  • XML: 36
  • Total: 851
  • BibTeX: 21
  • EndNote: 20
Views and downloads (calculated since 05 Oct 2023)
Cumulative views and downloads (calculated since 05 Oct 2023)

Viewed (geographical distribution)

Total article views: 851 (including HTML, PDF, and XML) Thereof 826 with geography defined and 25 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 May 2024
Download
Short summary
Identifying causes of specific processes is crucial in order to better understand our climate system. Traditionally, correlation analyses have been used to identify cause–effect relationships in climate studies. However, correlation does not imply causation, which justifies the need to use causal methods. We compare two independent causal methods and show that these are superior to classical correlation analyses. We also find some interesting differences between the two methods.
Read more