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Superstatistical analysis of sea-level fluctuations

Author

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  • Rabassa, Pau
  • Beck, Christian

Abstract

We perform a statistical analysis of measured time series of sea levels at various coastal locations in the UK, measured at time differences of 15 min over the past 20 years. When the astronomical tide and other deterministic components are removed from the record, a stochastic signal corresponding to the meteorological component remains, and this is well-described by a superstatistical model. We do various tests on the measured time series, and compare the data at 5 different UK locations. Overall the χ2-superstatistics is best suitable to describe the data, in particular when one looks at the dynamics of sea-level differences on short time scales.

Suggested Citation

  • Rabassa, Pau & Beck, Christian, 2015. "Superstatistical analysis of sea-level fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 18-28.
    • Handle: RePEc:eee:phsmap:v:417:y:2015:i:c:p:18-28
    DOI: 10.1016/j.physa.2014.08.068
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    Citations

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    Cited by:

    1. F. G. Schmitt & A. Crapoulet & A. Hequette & Y. Huang, 2018. "Nonlinear dynamics of the sea level time series in the eastern English Channel," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 267-285, March.
    2. Kosun, Caglar & Ozdemir, Serhan, 2016. "A superstatistical model of vehicular traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 466-475.
    3. Gravanis, E. & Akylas, E., 2021. "Blackbody radiation, kappa distribution and superstatistics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).

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