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

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Cited articles

Årthun, M., Eldevik, T., Smedsrud, L. H., Skagseth, Ø., and Ingvaldsen, R. B.: Quantifying the influence of Atlantic heat on Barents Sea ice variability and retreat, J. Climate, 25, 4736–4743,, 2012. a
Bach, E., Motesharrei, S., Kalnay, E., and Ruiz-Barradas, A.: Local atmosphere-ocean predictability: Dynamical origins, lead times, and seasonality, J. Climate, 32, 7507–7519,, 2019. a
Baldovin, M., Cecconi, F., and Vulpiani, A.: Understanding causation via correlations and linear response theory, Phys. Rev. Res., 2, 043436,, 2020. a, b
Benjamini, Y. and Hochberg, Y.: Controlling the False Discovery Rate: A practical and powerful approach to multiple testing, J. Roy. Stat. Soc. B, 57, 289–300,, 1995. a
Bishop, S. P., Small, R. J., Bryan, F. O., and Tomas, R. A.: Scale dependence of midlatitude air-sea interaction, J. Climate, 30, 8207–8221,, 2017. a
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.