Articles | Volume 28, issue 2
https://doi.org/10.5194/npg-28-213-2021
© Author(s) 2021. 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-28-213-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 May 2021
Research article |
| 06 May 2021
| 06 May 2021
Recurrence analysis of extreme event-like data
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412 Potsdam, Germany
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Bedartha Goswami
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412 Potsdam, Germany
Cluster of Excellence “Machine Learning”, University of Tübingen, 72074 Tübingen, Germany
Yoshito Hirata
Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Deniz Eroglu
Department of Bioinformatics and Genetics, Kadir Has University, 34083 Istanbul, Turkey
Bruno Merz
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany
Jürgen Kurths
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412 Potsdam, Germany
Institute of Physics, Humboldt Universität zu Berlin, Berlin, Germany
Norbert Marwan
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, 14412 Potsdam, Germany
Institute of Geoscience, University of Potsdam, 14476 Potsdam, Germany
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Cited
15 citations as recorded by crossref.
- On Computing Medians of Marked Point Process Data Under Edit Distance N. Sukegawa et al. 10.1007/s10957-023-02352-8
- Trends in recurrence analysis of dynamical systems N. Marwan & K. Kraemer 10.1140/epjs/s11734-022-00739-8
- Challenges and perspectives in recurrence analyses of event time series N. Marwan 10.3389/fams.2023.1129105
- Recent changes in spatiotemporal patterns of heat extremes in South Asia A. Banerjee et al. 10.1038/s41612-025-01146-1
- Power spectral estimate for discrete data N. Marwan & T. Braun 10.1063/5.0143224
- A complex network approach to study the extreme precipitation patterns in a river basin A. Agarwal et al. 10.1063/5.0072520
- Predicting the data structure prior to extreme events from passive observables using echo state network A. Banerjee et al. 10.3389/fams.2022.955044
- Spike Spectra for Recurrences K. Kraemer et al. 10.3390/e24111689
- Spatiotemporal analysis of extreme precipitation events in the United States at mesoscale: Complex network theory T. Jamali et al. 10.1016/j.jhydrol.2023.130440
- Recurrence plots bridge deterministic systems and stochastic systems topologically and measure-theoretically Y. Hirata & M. Shiro 10.1063/5.0156945
- Recurrence flow measure of nonlinear dependence T. Braun et al. 10.1140/epjs/s11734-022-00687-3
- Spatial coherence patterns of extreme winter precipitation in the U.S. A. Banerjee et al. 10.1007/s00704-023-04393-5
- Multifractal Applications in Hydro-Climatology: A Comprehensive Review of Modern Methods S. Vahab & A. Sankaran 10.3390/fractalfract9010027
- Complex systems and physics education A. Bielinskyi et al. 10.55056/cte.103
- Decline in seasonal predictability potentially destabilized Classic Maya societies T. Braun et al. 10.1038/s43247-023-00717-5
15 citations as recorded by crossref.
- On Computing Medians of Marked Point Process Data Under Edit Distance N. Sukegawa et al. 10.1007/s10957-023-02352-8
- Trends in recurrence analysis of dynamical systems N. Marwan & K. Kraemer 10.1140/epjs/s11734-022-00739-8
- Challenges and perspectives in recurrence analyses of event time series N. Marwan 10.3389/fams.2023.1129105
- Recent changes in spatiotemporal patterns of heat extremes in South Asia A. Banerjee et al. 10.1038/s41612-025-01146-1
- Power spectral estimate for discrete data N. Marwan & T. Braun 10.1063/5.0143224
- A complex network approach to study the extreme precipitation patterns in a river basin A. Agarwal et al. 10.1063/5.0072520
- Predicting the data structure prior to extreme events from passive observables using echo state network A. Banerjee et al. 10.3389/fams.2022.955044
- Spike Spectra for Recurrences K. Kraemer et al. 10.3390/e24111689
- Spatiotemporal analysis of extreme precipitation events in the United States at mesoscale: Complex network theory T. Jamali et al. 10.1016/j.jhydrol.2023.130440
- Recurrence plots bridge deterministic systems and stochastic systems topologically and measure-theoretically Y. Hirata & M. Shiro 10.1063/5.0156945
- Recurrence flow measure of nonlinear dependence T. Braun et al. 10.1140/epjs/s11734-022-00687-3
- Spatial coherence patterns of extreme winter precipitation in the U.S. A. Banerjee et al. 10.1007/s00704-023-04393-5
- Multifractal Applications in Hydro-Climatology: A Comprehensive Review of Modern Methods S. Vahab & A. Sankaran 10.3390/fractalfract9010027
- Complex systems and physics education A. Bielinskyi et al. 10.55056/cte.103
- Decline in seasonal predictability potentially destabilized Classic Maya societies T. Braun et al. 10.1038/s43247-023-00717-5
Latest update: 19 Oct 2025
