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首页> 外文期刊>Journal of marine systems: journal of the European Association of Marine Sciences and Techniques >Time dependent intrinsic correlation analysis of temperature and dissolved oxygen time series using empirical mode decomposition
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Time dependent intrinsic correlation analysis of temperature and dissolved oxygen time series using empirical mode decomposition

机译：基于时间模态的温度和溶解氧时间序列的内在相关性分析

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摘要

In the marine environment, many fields have fluctuations over a large range of different spatial and temporal scales. These quantities can be nonlinear and non-stationary, and often interact with each other. A good method to study the multiple scale dynamics of such time series, and their correlations, is needed. In this paper an application of an empirical mode decomposition based time dependent intrinsic correlation, of two coastal oceanic time series, temperature and dissolved oxygen (saturation percentage) is presented. The two time series are recorded every 20 min for 7 years, from 2004 to 2011. The application of the empirical mode decomposition on such time series is illustrated, and the power spectra of the time series are estimated using the Hilbert transform (Hilbert spectral analysis). Power-law regimes are found with slopes of 1.33 for dissolved oxygen and 1.68 for temperature at high frequencies (between 1.2 and 12 h) with both close to 1.9 for lower frequencies (time scales from 2 to 100 days). Moreover, the time evolution and scale dependence of cross correlations between both series are considered. The trends are perfectly anti-correlated. The modes of mean year 3 and 1 year have also negative correlation, whereas higher frequency modes have a much smaller correlation. The estimation of time-dependent intrinsic correlations helps to show patterns of correlations at different scales, for different modes.
机译：在海洋环境中，许多领域在不同时空尺度的大范围内都有波动。这些量可以是非线性的，也可以是非平稳的，并且经常相互影响。需要一种很好的方法来研究此类时间序列的多尺度动态及其相关性。在本文中，提出了一种基于经验模式分解的基于时间的固有相关性的应用，该函数具有两个沿海海洋时间序列，即温度和溶解氧（饱和度百分比）。在2004年至2011年的7年中，每20分钟记录两个时间序列。举例说明了经验模式分解在该时间序列上的应用，并使用Hilbert变换（Hilbert频谱分析）估算了该时间序列的功率谱）。幂律模式在高频下（1.2至12小时之间）的溶解氧斜率是1.33，温度上的斜率是1.68，低频下（时间范围从2天到100天）的斜率都接近1.9。此外，考虑了两个序列之间的互相关的时间演化和尺度依赖性。趋势是完全反相关的。平均3年和1年的模式也具有负相关性，而较高频率的模式具有较小的相关性。时间相关的内在相关性的估计有助于显示不同模式，不同尺度下的相关性模式。

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