计算机技术与发展2019，Vol.29Issue(2)：181-184,4.DOI:10.3969/j.issn.1673-629X.2019.02.038
海表面温时间序列的相关性及复杂性研究
Research on Correlation and Complexity of Sea Surface Temperature Time Series
摘要
Abstract
Sea surface temperature, as an important parameter of marine environment, is the comprehensive result of ocean thermal and dynamic processes as well as air sea interaction.In order to obtain the complexity of the temporal and spatial variation of ocean surface temperature and reveal its intrinsic dynamic mechanism, the complexity of the sea surface temperature time series is analyzed based on an improved sample entropy method, and the long-term memory of that is studied by the method of detrended fluctuation analysis.The experiment shows that the complexity of sea surface temperature change in high latitudes is lower than that in low latitudes.Because the seasonality of sea surface temperature is more obvious in high latitudes, and the sequence is more regular.Generally speaking, seasonal factors have little effect on sea surface temperature in low latitudes.For long time series or short time series, the sea surface temperature in high latitudes is long-term memory and the sequence is not stable.However, the correlation of sea surface temperature at low latitudes in short time series shows many situations.When the sequence is long enough, the sequence also shows long-term memory.关键词
海表面温/复杂度/二维熵/相关性/去趋势波动分析Key words
sea surface temperature/complexity/TD_entropy/correlation/detrended fluctuation analysis分类
信息技术与安全科学引用本文复制引用
于文静,余洁,徐凌宇..海表面温时间序列的相关性及复杂性研究[J].计算机技术与发展,2019,29(2):181-184,4.基金项目
科技部重点研发计划(2016YFC1401902) （2016YFC1401902）
