Articles | Volume 14, issue 2
https://doi.org/10.5194/esd-14-309-2023
© Author(s) 2023. 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-14-309-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Mar 2023
Research article |
| 21 Mar 2023
| 21 Mar 2023
Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6
University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Evgenia Galytska
University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Jakob Runge
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Datenwissenschaften, Jena, Germany
Fachgebiet Klimainformatik, Technische Universität Berlin, Berlin, Germany
Gerald A. Meehl
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Adam S. Phillips
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Katja Weigel
University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Veronika Eyring
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
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Total article views: 4,637 (including HTML, PDF, and XML)
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Total article views: 2,535 (including HTML, PDF, and XML)
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Cited
15 citations as recorded by crossref.
- Causal pathway from AMOC to Southern Amazon rainforest indicates stabilising interaction between two climate tipping elements A. Högner et al.
- Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems K. Debeire et al.
- Diversity and similarity of information transfers and flows in continuous-time stochastic systems D. Smirnov
- Pushing the frontiers in climate modelling and analysis with machine learning V. Eyring et al.
- Scalable Time Series Causal Discovery with Approximate Causal Ordering Z. Jiao et al.
- Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al.
- Causal relationships and predictability of the summer East Atlantic teleconnection J. Carvalho-Oliveira et al.
- Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al.
- Inferring causal associations in hydrological systems: a comparison of methods H. Liang et al.
- Causal Discovery from Temporal Data: An Overview and New Perspectives C. Gong et al.
- Causal inference for time series J. Runge et al.
- Interdecadal tropical Pacific–Atlantic interaction simulated in CMIP6 models Y. Deng et al.
- The Tropical Basin Interaction Model Intercomparison Project (TBIMIP) I. Richter et al.
- Excess topography and outburst flood: Geomorphic imprint of October 2023 extreme flood event in the Teesta catchment of Eastern Himalayas A. Kashyap & M. Behera
- Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas A. Kashyap et al.
15 citations as recorded by crossref.
- Causal pathway from AMOC to Southern Amazon rainforest indicates stabilising interaction between two climate tipping elements A. Högner et al.
- Uncertainty bounds for long-term causal effects of perturbations in spatiotemporal systems K. Debeire et al.
- Diversity and similarity of information transfers and flows in continuous-time stochastic systems D. Smirnov
- Pushing the frontiers in climate modelling and analysis with machine learning V. Eyring et al.
- Scalable Time Series Causal Discovery with Approximate Causal Ordering Z. Jiao et al.
- Changing effects of external forcing on Atlantic–Pacific interactions S. Karmouche et al.
- Causal relationships and predictability of the summer East Atlantic teleconnection J. Carvalho-Oliveira et al.
- Decreasing aerosols increase the European summer diurnal temperature range C. Roesch et al.
- Inferring causal associations in hydrological systems: a comparison of methods H. Liang et al.
- Causal Discovery from Temporal Data: An Overview and New Perspectives C. Gong et al.
- Causal inference for time series J. Runge et al.
- Interdecadal tropical Pacific–Atlantic interaction simulated in CMIP6 models Y. Deng et al.
- The Tropical Basin Interaction Model Intercomparison Project (TBIMIP) I. Richter et al.
- Excess topography and outburst flood: Geomorphic imprint of October 2023 extreme flood event in the Teesta catchment of Eastern Himalayas A. Kashyap & M. Behera
- Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas A. Kashyap et al.
Saved (final revised paper)
Latest update: 08 May 2026
Short summary
This study uses a causal discovery method to evaluate the ability of climate models to represent the interactions between the Atlantic multidecadal variability (AMV) and the Pacific decadal variability (PDV). The approach and findings in this study present a powerful methodology that can be applied to a number of environment-related topics, offering tremendous insights to improve the understanding of the complex Earth system and the state of the art of climate modeling.
This study uses a causal discovery method to evaluate the ability of climate models to represent...
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