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| Titel |
Identification of dynamical transitions in marine palaeoclimate records by recurrence network analysis |
| VerfasserIn |
J. F. Donges, R. V. Donner, K. Rehfeld, N. Marwan, M. H. Trauth, J. Kurths |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 18, no. 5 ; Nr. 18, no. 5 (2011-09-05), S.545-562 |
| Datensatznummer |
250013962
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| Publikation (Nr.) |
 copernicus.org/npg-18-545-2011.pdf |
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| Zusammenfassung |
| The analysis of palaeoclimate time series is usually affected by severe
methodological problems, resulting primarily from non-equidistant sampling
and uncertain age models. As an alternative to existing methods of time
series analysis, in this paper we argue that the statistical properties of
recurrence networks – a recently developed approach – are promising
candidates for characterising the system's nonlinear dynamics and quantifying
structural changes in its reconstructed phase space as time evolves. In a first order approximation, the
results of recurrence network analysis are invariant to changes in the age
model and are not directly affected by non-equidistant sampling of the data.
Specifically, we investigate the behaviour of recurrence network measures for
both paradigmatic model systems with non-stationary parameters and four
marine records of long-term palaeoclimate variations. We show that the
obtained results are qualitatively robust under changes of the relevant
parameters of our method, including detrending, size of the running window
used for analysis, and embedding delay. We demonstrate that recurrence
network analysis is able to detect relevant regime shifts in synthetic data
as well as in problematic geoscientific time series. This suggests its
application as a general exploratory tool of time series analysis
complementing existing methods. |
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