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

Model code and software

Codes to compute Liang index and correlation for comparison study David Docquier

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.