Articles | Volume 28, issue 2
Research article
06 May 2021
Research article |  | 06 May 2021

Recurrence analysis of extreme event-like data

Abhirup Banerjee, Bedartha Goswami, Yoshito Hirata, Deniz Eroglu, Bruno Merz, Jürgen Kurths, and Norbert Marwan

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Cited articles

Babu, G. J. and Feigelson, E. D.: Spatial point processes in astronomy, J. Stat. Plan. Infer., 50, 311–326,, 1996. a
Bastiaans, M.: On the sliding-window representation in digital signal processing, IEEE T. Acoust. Speech, 33, 868–873, 1985. a
Bloomfield, P.: Fourier Analysis of Time Series: An Introduction, Wiley Series in Probability and Statistics, Wiley, available at: (last access: 7 April 2020), 2004. a
Bloschl, G., Hall, J., Kjeldsen, T., and Macdonald, N.: Changing climate both increases and decreases European river floods, Nature, 573, 108–111,, 2019. a
Boers, N., Bookhagen, B., Marwan, N., Kurths, J., and Marengo, J.: Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System, Geophys. Res. Lett., 40, 4386–4392,, 2013. a