Articles | Volume 28, issue 2
https://doi.org/10.5194/npg-28-213-2021
https://doi.org/10.5194/npg-28-213-2021
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

Related authors

Flood damage model bias caused by aggregation
Seth Bryant, Heidi Kreibich, and Bruno Merz
Proc. IAHS, 386, 181–187, https://doi.org/10.5194/piahs-386-181-2024,https://doi.org/10.5194/piahs-386-181-2024, 2024
Short summary
Invited perspectives: Safeguarding the usability and credibility of flood hazard and risk assessments
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-856,https://doi.org/10.5194/egusphere-2024-856, 2024
Short summary
What controls the tail behaviour of flood series: rainfall or runoff generation?
Elena Macdonald, Bruno Merz, Björn Guse, Viet Dung Nguyen, Xiaoxiang Guan, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 28, 833–850, https://doi.org/10.5194/hess-28-833-2024,https://doi.org/10.5194/hess-28-833-2024, 2024
Short summary
Technical Note: Resolution enhancement of flood inundation grids
Seth Bryant, Guy Schumann, Heiko Apel, Heidi Kreibich, and Bruno Merz
Hydrol. Earth Syst. Sci., 28, 575–588, https://doi.org/10.5194/hess-28-575-2024,https://doi.org/10.5194/hess-28-575-2024, 2024
Short summary
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Boutzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
EGUsphere, https://doi.org/10.5194/egusphere-2023-2862,https://doi.org/10.5194/egusphere-2023-2862, 2024
Short summary

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Theory
Superstatistical analysis of sea surface currents in the Gulf of Trieste, measured by high-frequency radar, and its relation to wind regimes using the maximum-entropy principle
Sofia Flora, Laura Ursella, and Achim Wirth
Nonlin. Processes Geophys., 30, 515–525, https://doi.org/10.5194/npg-30-515-2023,https://doi.org/10.5194/npg-30-515-2023, 2023
Short summary
Physically constrained covariance inflation from location uncertainty
Yicun Zhen, Valentin Resseguier, and Bertrand Chapron
Nonlin. Processes Geophys., 30, 237–251, https://doi.org/10.5194/npg-30-237-2023,https://doi.org/10.5194/npg-30-237-2023, 2023
Short summary
Rain process models and convergence to point processes
Scott Hottovy and Samuel N. Stechmann
Nonlin. Processes Geophys., 30, 85–100, https://doi.org/10.5194/npg-30-85-2023,https://doi.org/10.5194/npg-30-85-2023, 2023
Short summary
A waveform skewness index for measuring time series nonlinearity and its applications to the ENSO–Indian monsoon relationship
Justin Schulte, Frederick Policelli, and Benjamin Zaitchik
Nonlin. Processes Geophys., 29, 1–15, https://doi.org/10.5194/npg-29-1-2022,https://doi.org/10.5194/npg-29-1-2022, 2022
Short summary
Empirical evidence of a fluctuation theorem for the wind mechanical power input into the ocean
Achim Wirth and Bertrand Chapron
Nonlin. Processes Geophys., 28, 371–378, https://doi.org/10.5194/npg-28-371-2021,https://doi.org/10.5194/npg-28-371-2021, 2021
Short summary

Cited articles

Babu, G. J. and Feigelson, E. D.: Spatial point processes in astronomy, J. Stat. Plan. Infer., 50, 311–326, https://doi.org/10.1016/0378-3758(95)00060-7, 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: https://books.google.de/books?id=zQsupRg5rrAC (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, https://doi.org/10.1038/s41586-019-1495-6, 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, https://doi.org/10.1002/grl.50681, 2013. a