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Physica A Statistical Mechanics and its Applications
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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zbMATH Open
Article . 2015
Data sources: zbMATH Open
https://dx.doi.org/10.48550/ar...
Article . 2014
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Superstatistical analysis of sea-level fluctuations

Authors: Rabassa, Pau; Beck, Christian;

Superstatistical analysis of sea-level fluctuations

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 minutes over the past 20 years. When the astronomical tide and other deterministic components are subtracted, a stochastic signal remains which is well-described by a superstatistical model. We do various tests on the measured time series, and compare the data of 5 different UK locations. Overall it appears that $χ^2$-superstatistics is best suitable to describe the data, in particular when one looks at the dynamics of sealevel {\em differences} on short time scales.

Related Organizations
Keywords

Hydrology, hydrography, oceanography, Statistical Mechanics (cond-mat.stat-mech), data analysis, FOS: Physical sciences, sea levels, superstatistics, Time series, auto-correlation, regression, etc. in statistics (GARCH), surges, Physics - Data Analysis, Statistics and Probability, Geostatistics, non-tidal residuals, Directional data; spatial statistics, Condensed Matter - Statistical Mechanics, Data Analysis, Statistics and Probability (physics.data-an)

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Average
Top 10%
Green
bronze