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Reassessment of long-period constituents for tidal predictions along the German North Sea coast and its tidally influenced rivers

机译:重新评估德国北海海岸潮汐预测的长期成员及其战略影响

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The harmonic representation of inequalities (HRoI) is a procedure for tidal analysis and prediction that combines aspects of the non-harmonic and the harmonic method. With this technique, the deviations of heights and lunitidal intervals, especially of high and low waters, from their respective mean values are represented by superpositions of long-period tidal constituents. This article documents the preparation of a constituents list for the operational application of the harmonic representation of inequalities. Frequency analyses of observed heights and lunitidal intervals of high and low water from 111 tide gauges along the German North Sea coast and its tidally influenced rivers have been carried out using the generalized Lomb–Scargle periodogram. One comprehensive list of partial tides is realized by combining the separate frequency analyses and by applying subsequent improvements, e.g. through manual inspections of long time series data. The new set of 39 partial tides largely confirms the previously used set with 43 partial tides. Nine constituents are added and 13 partial tides, mostly in the close neighbourhood of strong spectral components, are removed. The effect of these changes has been studied by comparing predictions with observations from 98 tide gauges. Using the new set of constituents, the standard deviations of the residuals are reduced on average by 2.41 % (times) and 2.30 % (heights) for the year 2016. The new set of constituents will be used for tidal analyses and predictions starting with the German tide tables for the year 2020.
机译:不等式(HROI)的谐波表示是潮汐分析和预测的过程,其结合了非谐波和谐波法的方面。利用这种技术,高度和LunitIDAL间隔,特别是高水平的偏差,其各自的平均值是由长期潮汐成分的叠加来表示的。本文文件编制了编制适用于不平等的谐波陈述的运作申请。从德国北海海岸111倍张仪和其整个LONGLINCE河流的高低水和低水平的观测高度和低水平的频率分析已经使用广义LOMB曲线曲线术语进行。通过组合单独的频率分析并通过应用后续改进来实现一个综合的部分潮汐列表。通过手动检查长时间序列数据。新的39件部分潮汐大部分都在很大程度上证实了以前使用的43个部分潮汐的套件。除去九种成分,并除去13个部分潮汐,主要是在强光谱分量的紧密邻域中。通过将预测与来自98个潮汐量的观察结果进行比较,研究了这些变化的效果。使用新的成分组,剩余物的标准偏差平均减少了2016年的2.41%(次)和2.30%(高度)。新的成分将用于潮汐分析和预测2020年德国潮流桌。

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