Analysis of short and discontinuous tidal data: a case study from the Aegean Sea

S. I. Pytharouli; S. C. Stiros

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Analysis of short and discontinuous tidal data: a case study from the Aegean Sea

机译：短期和不连续潮汐数据分析：以爱琴海为例

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An algorithm, which permits to compute the statistically significant tidal constituents and amplitude, duration and frequency of recurrence of meteorological surges, in the case of short, discontinuous or noisy tidal records, is presented. This algorithm is based on step by step filtering techniques and least squares based spectral analysis in both the frequency and time domain, and hence, it permits to avoid, first, the noise introduced in measurements as a result of interpolations, zero padding or fragmentation, and second, large uncertainties introduced by automated tidal computation routines, mainly designed for high tidal amplitudes and high signal to noise ratio data. Additionally, it is simple to follow by non-specialists in oceanic processes. The efficiency of the proposed algorithm is demonstrated on the basis of comparison of annual and interannual, high accuracy and conventional tidal records from the Aegean. This region is characterised by an astronomical tide of the order of 10 cm, about one order of magnitude smaller than the meteorological tide, and hence represents an extreme tidal environment, with very low-signal-to noise ratio values. Such data permit to evaluate the adequacy of an algorithm to successfully analyse records of short duration or with significant gaps, cases in which conventional algorithms fail. The proposed algorithm is therefore suitable for the analysis of recent, high sampling frequency but short duration records, many of which are available online, and for the identification of small amplitude tectonic, oceanographic signals, useful for climatological studies, satellite altimetry calibration or even to test malfunction of instruments.

机译：提出了一种算法，该算法可以在潮汐记录短，不连续或嘈杂的情况下，计算出具有统计意义的潮汐成分以及气象浪潮的复发幅度，持续时间和频率。该算法基于频域和时域的逐步滤波技术和基于最小二乘的频谱分析，因此，它可以首先避免由于插值，零填充或碎片而在测量中引入的噪声，其次，潮汐自动计算程序引入了较大的不确定性，主要是针对高潮汐振幅和高信噪比数据而设计的。另外，在海洋过程中非专业人员很容易遵循。在比较年度和年度，高精度和爱琴海的常规潮汐记录的基础上，证明了该算法的有效性。该区域的特征是大约10厘米的天文潮，比气象潮小约一个数量级，因此代表着极端的潮汐环境，信噪比值非常低。这样的数据可以评估算法的适当性，以成功分析短时或有明显间隔的记录，这是常规算法失败的情况。因此，所提出的算法适用于分析近期的，高采样频率但持续时间短的记录，其中许多记录可以在线获得，并且适合于识别小振幅构造，海洋学信号，这些信号对于气候研究，卫星测高仪校准甚至对测试仪器故障。

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来源
《Survey Review》 |2012年第326期|p.239-246|共8页
作者
S. I. Pytharouli; S. C. Stiros;
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作者单位

Department of Civil Engineering, University of Strathclyde, Glasgow, UK;

Geodesy Lab., Department of Civil Engineering, University of Patras, Patras, Greece;

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正文语种 eng
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关键词
tidal data; astronomical tides; meteorological tides; time series; aegean sea;

机译：潮汐数据天文潮气象潮;时间序列;爱琴海;

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Analysis of short and discontinuous tidal data: a case study from the Aegean Sea

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