Articles | Volume 9, issue 3
https://doi.org/10.5194/esd-9-1063-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-9-1063-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Aug 2018
Research article |
| 27 Aug 2018
| 27 Aug 2018
Causal dependences between the coupled ocean–atmosphere dynamics over the tropical Pacific, the North Pacific and the North Atlantic
Stéphane Vannitsem
CORRESPONDING AUTHOR
Royal Meteorological Institute of Belgium, Avenue Circulaire, 3, 1180 Brussels, Belgium
Pierre Ekelmans
Theory of Neural Dynamics Group, Max Planck Institute for Brain Research, Max-von-Laue-Strasse 4, 60438 Frankfurt, Germany
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Cited
20 citations as recorded by crossref.
- Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics J. Gibert et al. https://doi.org/10.1002/ece3.9685
- A comparison of two causal methods in the context of climate analyses D. Docquier et al. https://doi.org/10.5194/npg-31-115-2024
- Causal network construction based on KICA-ECCM for root cause diagnosis of industrial processes Y. He & X. Li https://doi.org/10.1007/s10586-024-04663-5
- Detecting causality from time series in a machine learning framework Y. Huang et al. https://doi.org/10.1063/5.0007670
- Who is stirring the waters? J. Hall & R. Perdigão https://doi.org/10.1126/science.abg6514
- Reconstructing coupled time series in climate systems using three kinds of machine-learning methods Y. Huang et al. https://doi.org/10.5194/esd-11-835-2020
- Multiscale fractal dimension analysis of a reduced order model of coupled ocean–atmosphere dynamics T. Alberti et al. https://doi.org/10.5194/esd-12-837-2021
- Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe Y. Tian et al. https://doi.org/10.1038/s43247-024-01934-2
- Testing for Dynamical Dependence: Application to the Surface Mass Balance Over Antarctica S. Vannitsem et al. https://doi.org/10.1029/2019GL084329
- Changes in Future Synoptic Circulation Patterns: Consequences for Extreme Event Attribution D. Faranda et al. https://doi.org/10.1029/2020GL088002
- Assessing causal dependencies in climatic indices R. Silini et al. https://doi.org/10.1007/s00382-022-06562-0
- Atmospheric and Ocean Dynamics May Explain Cycles in Oceanic Oscillations K. Seip & Ø. Grøn https://doi.org/10.3390/cli7060077
- Causal Links Between Arctic Sea Ice and Its Potential Drivers Based on the Rate of Information Transfer D. Docquier et al. https://doi.org/10.1029/2021GL095892
- The North Atlantic Oscillations: Cycle Times for the NAO, the AMO and the AMOC K. Seip et al. https://doi.org/10.3390/cli7030043
- Improved convergent cross mapping method for causal inference based on decomposition of the Lorenz trajectory Z. Sunu et al. https://doi.org/10.1038/s41598-025-22300-y
- Fast and effective pseudo transfer entropy for bivariate data-driven causal inference R. Silini & C. Masoller https://doi.org/10.1038/s41598-021-87818-3
- Nonlinear causal dependencies as a signature of the complexity of the climate dynamics S. Vannitsem et al. https://doi.org/10.5194/esd-16-703-2025
- Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling Y. Huang et al. https://doi.org/10.1007/s00382-020-05394-0
- Dynamical Dependencies at Monthly and Interannual Time Scales in the Climate System: Study of the North Pacific and Atlantic Regions S. Vannitsem & X. Liang https://doi.org/10.16993/tellusa.44
- Hourly precipitation fields at 1 km resolution over Belgium from 1940 to 2016 based on the analog technique E. Debrie et al. https://doi.org/10.5194/essd-17-6405-2025
20 citations as recorded by crossref.
- Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics J. Gibert et al. https://doi.org/10.1002/ece3.9685
- A comparison of two causal methods in the context of climate analyses D. Docquier et al. https://doi.org/10.5194/npg-31-115-2024
- Causal network construction based on KICA-ECCM for root cause diagnosis of industrial processes Y. He & X. Li https://doi.org/10.1007/s10586-024-04663-5
- Detecting causality from time series in a machine learning framework Y. Huang et al. https://doi.org/10.1063/5.0007670
- Who is stirring the waters? J. Hall & R. Perdigão https://doi.org/10.1126/science.abg6514
- Reconstructing coupled time series in climate systems using three kinds of machine-learning methods Y. Huang et al. https://doi.org/10.5194/esd-11-835-2020
- Multiscale fractal dimension analysis of a reduced order model of coupled ocean–atmosphere dynamics T. Alberti et al. https://doi.org/10.5194/esd-12-837-2021
- Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe Y. Tian et al. https://doi.org/10.1038/s43247-024-01934-2
- Testing for Dynamical Dependence: Application to the Surface Mass Balance Over Antarctica S. Vannitsem et al. https://doi.org/10.1029/2019GL084329
- Changes in Future Synoptic Circulation Patterns: Consequences for Extreme Event Attribution D. Faranda et al. https://doi.org/10.1029/2020GL088002
- Assessing causal dependencies in climatic indices R. Silini et al. https://doi.org/10.1007/s00382-022-06562-0
- Atmospheric and Ocean Dynamics May Explain Cycles in Oceanic Oscillations K. Seip & Ø. Grøn https://doi.org/10.3390/cli7060077
- Causal Links Between Arctic Sea Ice and Its Potential Drivers Based on the Rate of Information Transfer D. Docquier et al. https://doi.org/10.1029/2021GL095892
- The North Atlantic Oscillations: Cycle Times for the NAO, the AMO and the AMOC K. Seip et al. https://doi.org/10.3390/cli7030043
- Improved convergent cross mapping method for causal inference based on decomposition of the Lorenz trajectory Z. Sunu et al. https://doi.org/10.1038/s41598-025-22300-y
- Fast and effective pseudo transfer entropy for bivariate data-driven causal inference R. Silini & C. Masoller https://doi.org/10.1038/s41598-021-87818-3
- Nonlinear causal dependencies as a signature of the complexity of the climate dynamics S. Vannitsem et al. https://doi.org/10.5194/esd-16-703-2025
- Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling Y. Huang et al. https://doi.org/10.1007/s00382-020-05394-0
- Dynamical Dependencies at Monthly and Interannual Time Scales in the Climate System: Study of the North Pacific and Atlantic Regions S. Vannitsem & X. Liang https://doi.org/10.16993/tellusa.44
- Hourly precipitation fields at 1 km resolution over Belgium from 1940 to 2016 based on the analog technique E. Debrie et al. https://doi.org/10.5194/essd-17-6405-2025
Saved (final revised paper)
Latest update: 13 Sep 2026
Short summary
The El Niño–Southern Oscillation phenomenon is a slow dynamics present in the coupled ocean–atmosphere tropical Pacific system which has important teleconnections with the northern extratropics. These teleconnections are usually believed to be the source of an enhanced predictability in the northern extratropics at seasonal to decadal timescales. This question is challenged by investigating the causality between these regions using an advanced technique known as convergent cross mapping.
The El Niño–Southern Oscillation phenomenon is a slow dynamics present in the coupled...
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