基于多尺度联合置换熵的海洋时间序列同步性研究

Study on the Synchronization of Ocean Time Series Based on Multi-Scale Joint Permutation Entropy

针对目前风生流的实测时间序列同步性研究的不足,本文采用多尺度联合置换熵,构建了DI指数、同步性指数I_(sync)和同步性指标α,对模拟时间序列和海洋实测时间序列进行了计算和分析。计算结果表明:同步性指数I_(sync)和同步性指标α能够识别时滞同步性和周期同步性;对涨落潮分离以后的数据进行分析,发现所有测站在落潮期间风应力对表面流向的影响更大。本文研究成果对分析和研究特定区域天文潮的涨落对风生流的影响有一定的理论指导和借鉴意义。

This paper is focused on the research of the synchronization of measured time series of wind-generated currents. The DI index, the synchronization index(I_(sync)) and the synchronization indicator(α) are constructed by using the multi-scale joint permutation entropy in order to calculate and analyze the simulated time series and the measured time series data of the ocean. The results indicate that the synchronization index(I_(sync)) and the synchronization indicator(α) are capable of identifying the time lag synchronization and periodic synchronization. Meanwhile, the analysis of the data after the separation of the flow period and the ebb period shows that the wind stress has a greater influence on the velocity direction of the sea surface during the ebb period at all stations. The research results of this paper have some theoretical guidance and reference significance for analyzing and studying the influence of the rise and fall of astronomical tides on wind-generated currents in a specific region.