Articles | Volume 30, issue 4
https://doi.org/10.5194/npg-30-515-2023
https://doi.org/10.5194/npg-30-515-2023
Research article
 | 
21 Nov 2023
Research article |  | 21 Nov 2023

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

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Cited articles

Beck, C.: Superstatistics: theory and applications, Continuum Mech. Therm., 16, 293–304, 2004. a, b, c
Beck, C. and Cohen, E. G.: Superstatistics, Physica A, 322, 267–275, 2003. a, b
Beck, C., Cohen, E., and Rizzo, S.: Atmospheric turbulence and superstatistics, Europhysics News, 36, 189–191, 2005a. a, b
Beck, C., Cohen, E. G., and Swinney, H. L.: From time series to superstatistics, Phys. Rev. E, 72, 056133, 2005b. a, b, c, d, e, f, g, h
Bogunović, B. and Malačič, V.: Circulation in the Gulf of Trieste: Measurements and model results, Nuovo Cimento C, 31, 301–326, 2008. a
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Short summary
An increasing amount of data allows us to move from low-order moments of fluctuating observations to their PDFs. We found the analytical fat-tailed PDF form (a combination of Gaussian and two-exponential convolutions) for 2 years of sea surface current increments in the Gulf of Trieste, using superstatistics and the maximum-entropy principle twice: on short and longer timescales. The data from different wind regimes follow the same analytical PDF, pointing towards a universal behaviour.
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