Case study comparisons of UK macro-tidal regime wave and current interaction processes; mesoscale wave model versus coastal buoy data
Case study comparisons of UK macro-tidal regime wave and current interaction processes; mesoscale wave model versus coastal buoy data
复制标题
英国宏观潮汐波与海流相互作用过程的案例研究比较；
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
E. Henley
中科院分区：
文献类型：
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作者：
T. Palmer;Tom Stratton;A. Saulter;E. Henley
海浪能量输入的主要来源是风；这是影响海浪频谱发展的主要变量(Ardhuin 2012)。海流对海浪的影响是二阶的，由于它们的影响，海浪频谱的变化可能很难与风速和风向变化的影响分开。因此，在评估附加电流对波浪模型性能的影响时，使用案例研究是有用的。本文提出使用离散小波分析来确定合适的案例研究。小波分析将时间序列分解为若干个近似频率，从而能够识别出与波浪参数中的潮汐信号对应的频率。小波分解与潮汐时间序列的互相关也被证明是验证较长时间段时间序列的一种有效方法。
The primary source of energy input to the waves is the wind; this is the main variable that influences the development of the wave spectrum (Ardhuin 2012). The effect of currents on waves are second order and changes in the wave spectrum due to their influence may be hard to separate from the effect of variations in the wind speed and direction. For this reason, when assessing the effect of the addition of currents to the performance of a wave model, it is useful to use case studies. This paper presents the use of a discrete wavelet analysis to identify suitable case studies. Wavelet analysis decomposes time series into a number of approximate frequencies and enables the frequency corresponding to the tidal signal within the wave parameters to be identified. Cross correlation of the wavelet decomposition with the tidal time series is also demonstrated to be a useful way to validate the time-series over longer periods of time.