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.
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.
the Creative Commons Attribution 4.0 License.
A comparison of two causal methods in the context of climate analyses
Meteorological and Climatological Information Service, Royal Meteorological Institute of Belgium, Brussels, Belgium
Giorgia Di Capua
Department of Water, Environment, Construction and Safety, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany
Research Department I – Earth System Analysis, Potsdam Institute for Climate Impact Research – Member of the Leibniz Association, Potsdam, Germany
Reik V. Donner
Department of Water, Environment, Construction and Safety, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany
Research Department I – Earth System Analysis, Potsdam Institute for Climate Impact Research – Member of the Leibniz Association, Potsdam, Germany
Carlos A. L. Pires
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Amélie Simon
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Department of Mathematical and Electrical Engineering, IMT Atlantique, Lab-STICC, UMR CNRS 6285, Brest, France
Stéphane Vannitsem
Meteorological and Climatological Information Service, Royal Meteorological Institute of Belgium, Brussels, Belgium
Viewed
Total article views: 2,276 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Oct 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,817 | 398 | 61 | 2,276 | 49 | 53 |
- HTML: 1,817
- PDF: 398
- XML: 61
- Total: 2,276
- BibTeX: 49
- EndNote: 53
Total article views: 1,874 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2024)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,558 | 278 | 38 | 1,874 | 41 | 42 |
- HTML: 1,558
- PDF: 278
- XML: 38
- Total: 1,874
- BibTeX: 41
- EndNote: 42
Total article views: 402 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Oct 2023)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
259 | 120 | 23 | 402 | 8 | 11 |
- HTML: 259
- PDF: 120
- XML: 23
- Total: 402
- BibTeX: 8
- EndNote: 11
Viewed (geographical distribution)
Total article views: 2,276 (including HTML, PDF, and XML)
Thereof 2,154 with geography defined
and 122 with unknown origin.
Total article views: 1,874 (including HTML, PDF, and XML)
Thereof 1,763 with geography defined
and 111 with unknown origin.
Total article views: 402 (including HTML, PDF, and XML)
Thereof 391 with geography defined
and 11 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
11 citations as recorded by crossref.
- Inferring causal associations in hydrological systems: a comparison of methods H. Liang et al. 10.1007/s00477-025-02977-3
- Nonlinear causal dependencies as a signature of the complexity of the climate dynamics S. Vannitsem et al. 10.5194/esd-16-703-2025
- Drivers of summer Arctic sea-ice extent at interannual time scale in CMIP6 large ensembles revealed by information flow D. Docquier et al. 10.1038/s41598-024-76056-y
- Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe Y. Tian et al. 10.1038/s43247-024-01934-2
- The Many Shades of the Vegetation–Climate Causality: A Multimodel Causal Appreciation Y. Shao et al. 10.3390/f15081430
- Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model S. Vannitsem et al. 10.1002/qj.4805
- Quantifying the causal effects of large-scale climate indices on basin-scale meteorological drought using transfer entropy: a case study of the yellow river basin K. Ren & T. Ming 10.1007/s00477-025-03030-z
- Deepening mechanisms of cut-off lows in the Southern Hemisphere and the role of jet streams: insights from eddy kinetic energy analysis H. Pinheiro et al. 10.5194/wcd-5-881-2024
- Prominent impacts of snow–hydrological processes on near-surface temperature variability over Western Siberia N. Ganeshi et al. 10.1016/j.jhydrol.2025.133187
- Rapid changes in warm and cold extremes in recent decades and their future projections for India R. Kumar et al. 10.1016/j.jenvman.2025.125832
- Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields F. Falasca et al. 10.1103/PhysRevE.109.044202
10 citations as recorded by crossref.
- Inferring causal associations in hydrological systems: a comparison of methods H. Liang et al. 10.1007/s00477-025-02977-3
- Nonlinear causal dependencies as a signature of the complexity of the climate dynamics S. Vannitsem et al. 10.5194/esd-16-703-2025
- Drivers of summer Arctic sea-ice extent at interannual time scale in CMIP6 large ensembles revealed by information flow D. Docquier et al. 10.1038/s41598-024-76056-y
- Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe Y. Tian et al. 10.1038/s43247-024-01934-2
- The Many Shades of the Vegetation–Climate Causality: A Multimodel Causal Appreciation Y. Shao et al. 10.3390/f15081430
- Causal dependencies and Shannon entropy budget: Analysis of a reduced‐order atmospheric model S. Vannitsem et al. 10.1002/qj.4805
- Quantifying the causal effects of large-scale climate indices on basin-scale meteorological drought using transfer entropy: a case study of the yellow river basin K. Ren & T. Ming 10.1007/s00477-025-03030-z
- Deepening mechanisms of cut-off lows in the Southern Hemisphere and the role of jet streams: insights from eddy kinetic energy analysis H. Pinheiro et al. 10.5194/wcd-5-881-2024
- Prominent impacts of snow–hydrological processes on near-surface temperature variability over Western Siberia N. Ganeshi et al. 10.1016/j.jhydrol.2025.133187
- Rapid changes in warm and cold extremes in recent decades and their future projections for India R. Kumar et al. 10.1016/j.jenvman.2025.125832
1 citations as recorded by crossref.
Latest update: 17 Jun 2025
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.
Identifying causes of specific processes is crucial in order to better understand our climate...