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Wavelet analysis of surface current vector fields measured by high frequency doppler radar

机译:高频多普勒雷达测量的表面电流矢量场的小波分析

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Fourier spectral methods have been widely applied to coastal zone current measurements. However in cases such as riverine tides or estuarine outflow currents exhibit non-stationary characteristics which invalidate the basic assumptions of thesemethods. Wavelet analysis techniques can be used to determine the temporal evolution of current variance over a range of frequency scales and therefore can provide an improved understanding of event-driven dynamics. Morlet continuous-wavelet transformswere applied to multiple vector time-series measurements from a High Frequency (HF) Doppler radar and moored ADCPs near the mouth of Chesapeake Bay in 1996 and 1997 as well as wind measurements at the Chesapeake Light tower. The time-varying clockwise(CW) and counter-clockwise (CCW) wavelet spectra were computed from each vector time-series. The horizontal, vertical and temporal evolution of high energy scales could then be visualized. Significant short-term intensifications of 30-60 hour CW energy in the region of the outfall plume were observed that were highly coherent with local wind forcing.
机译:傅里叶光谱方法已被广泛应用于沿海区电流测量。然而,在诸如河流潮汐或河口流出电流的情况下表现出非稳定性的特征,使其使其中的基本假设无效。小波分析技术可用于确定在一系列频率范围内的电流方差的时间演变,因此可以提供改进对事件驱动动态的理解。 Morlet连续的小波变换器应用于来自高频(HF)多普勒雷达的多个向量时间序列测量,并于1996年和1997年在Chesapeake Bay的港口附近停泊ADCP,以及Chesapeake灯塔的风测量。从每个向量时间序列计算时顺时针(CW)和逆时针(CCW)小波谱。然后可以可视化高能尺度的水平,垂直和时间演化。观察到出口羽流区域的30-60小时内CW能量的显着短期强化,与局风强迫高度相干。

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