
arXiv: 1405.6007
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.
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)
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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