Abstract
In this work, we present the diagnostics results of the similarity between different temperature paleoreconstructions using network approaches. The correlation patterns of time series are transformed into the geometry of the corresponding graph, which can be analyzed geometrically. To detect a possible nonlinear connection between climatic series and solar activity, we use networks constructed by embedding time series in the space of an appropriate dimension. Finally, we present Markov networks for climatic reconstructions and annual Wolf numbers.
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Knyazeva, I.S., Makarenko, N.G. Network analysis methods of heliorelated time series. Geomagn. Aeron. 52, 849–856 (2012). https://doi.org/10.1134/S0016793212070067
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DOI: https://doi.org/10.1134/S0016793212070067