Analysis of Subtidal Coastal Sea Level Fluctuations Using Wavelets
使用最大重叠离散小波变换分析了加州新月城1980-1991年的潮下海平面波动时间序列，发现32天及以下尺度的变异性随季节变化，并展示了该方法如何改进海啸和风暴潮期间的淹没预测。
Abstract Subtidal coastal sea level fluctuations affect coastal ecosystems and the consequences of destructive events such as tsunamis. We analyze a time series of subtidal fluctuations at Crescent City, California, during 1980–1991 using the maximal overlap discrete wavelet transform (MODWT). Our analysis shows that the variability in these fluctuations depends on the season for scales of 32 days and less. We show how the MODWT characterizes nonstationary behavior succinctly and how this characterization can be used to improve forecasts of inundation during tsunamis and storm surges. We provide pseudocode and enough details so that data analysts in other disciplines can readily apply MODWT analysis to other nonstationary time series.