海面波动的超统计分析
Superstatistical analysis of sealevel fluctuations
摘要：
我们在英国的各个沿海地区，在15分钟的时间差在过去的20年中测量的海平面的时间序列进行统计分析。当减去天文潮和其他确定性分量时，仍然存在一个随机信号，该信号可以由超统计模型很好地描述。我们对测量的时间序列进行了各种测试，并比较了英国5个不同地点的数据。总的来说，似乎$χ^2$ -超统计是最适合描述的数据，特别是当一个看起来在短时间尺度上的海平面{ \em差异}的动态。
英文摘要：
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.
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