Articles | Volume 14, issue 1
https://doi.org/10.5194/esd-14-17-2023
© 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-14-17-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jan 2023
Research article |
| 12 Jan 2023
| 12 Jan 2023
Evaluation of global teleconnections in CMIP6 climate projections using complex networks
Clementine Dalelane
CORRESPONDING AUTHOR
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Kristina Winderlich
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Andreas Walter
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Related authors
Clementine Dalelane, Andreas Paxian, Martín Senande, Sabela Sanfiz, Estéban Rodríguez Guisado, Jan Wandel, and Abhinav Tyagi
EGUsphere, https://doi.org/10.5194/egusphere-2025-3664, https://doi.org/10.5194/egusphere-2025-3664, 2025
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary
Short summary
We propose a statistical technique for the construction of targeted teleconnection patterns, which maximizes the predictability of a user-selected impact variable in terms of large-scale atmospheric circulation. The implementation of targeted teleconnections into the statistical postprocessing of climate predictions can considerably increase the forecast skill compared to postprocessing based on EOF modes of variability.
Kristina Winderlich, Clementine Dalelane, and Andreas Walter
Earth Syst. Dynam., 15, 607–633, https://doi.org/10.5194/esd-15-607-2024, https://doi.org/10.5194/esd-15-607-2024, 2024
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We develop a new classification method for synoptic circulation patterns. Its unique novelty is the use of the modified structural similarity index metric (SSIM). We demonstrate an exemplary application of the synoptic circulation classes obtained with the new classification method for evaluating historical climate simulations. We introduce a distance metric to measure the match in frequency and duration of synoptic classes between a climate simulation and the reference.
Kristina Winderlich, Clementine Dalelane, and Andreas Walter
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2022-29, https://doi.org/10.5194/esd-2022-29, 2022
Preprint withdrawn
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This paper presents a new classification method for synoptic circulation patterns and its application on ERA-Interim reanalysis data. The output fields of the CMIP6 models are assigned to the reanalysis-derived classes and a new quality index, built on the statistics between each model and the reference, is introduced to quantify the “quality” of the respective model. CMIP6 models are ranked according to the new quality score.
Clementine Dalelane, Andreas Paxian, Martín Senande, Sabela Sanfiz, Estéban Rodríguez Guisado, Jan Wandel, and Abhinav Tyagi
EGUsphere, https://doi.org/10.5194/egusphere-2025-3664, https://doi.org/10.5194/egusphere-2025-3664, 2025
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary
Short summary
We propose a statistical technique for the construction of targeted teleconnection patterns, which maximizes the predictability of a user-selected impact variable in terms of large-scale atmospheric circulation. The implementation of targeted teleconnections into the statistical postprocessing of climate predictions can considerably increase the forecast skill compared to postprocessing based on EOF modes of variability.
Kristina Winderlich, Clementine Dalelane, and Andreas Walter
Earth Syst. Dynam., 15, 607–633, https://doi.org/10.5194/esd-15-607-2024, https://doi.org/10.5194/esd-15-607-2024, 2024
Short summary
Short summary
We develop a new classification method for synoptic circulation patterns. Its unique novelty is the use of the modified structural similarity index metric (SSIM). We demonstrate an exemplary application of the synoptic circulation classes obtained with the new classification method for evaluating historical climate simulations. We introduce a distance metric to measure the match in frequency and duration of synoptic classes between a climate simulation and the reference.
Kristina Winderlich, Clementine Dalelane, and Andreas Walter
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2022-29, https://doi.org/10.5194/esd-2022-29, 2022
Preprint withdrawn
Short summary
Short summary
This paper presents a new classification method for synoptic circulation patterns and its application on ERA-Interim reanalysis data. The output fields of the CMIP6 models are assigned to the reanalysis-derived classes and a new quality index, built on the statistics between each model and the reference, is introduced to quantify the “quality” of the respective model. CMIP6 models are ranked according to the new quality score.
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Short summary
The realistic representation of global teleconnections is an indispensable requirement for the reliable simulation of low-frequency climate variability and climate change. We present an application of the complex network framework to quantify and evaluate large-scale interactions within and between ocean and atmosphere in 22 historical CMIP6 climate projections with respect to two century-long reanalyses.
The realistic representation of global teleconnections is an indispensable requirement for the...
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