气温变化时间序列的复杂性分析

Complexity Analysis of Temperature Time Series

给出了离散时间序列多重分形除趋势涨落分析方法和霍尔德指数的计算方法,并用它们研究了气温时间序列.通过分析气温时间序列,发现气温时间序列具有多重分形性的复杂特征.最后,说明气温时间序列的变化对其霍尔德指数的影响及其重要意义.

We give multifractal detrended fluctuation analysis and Holder analysis of discrete time series and use them to study the temperature time series fluctuations. It is demonstrated that the temperature time series has the complexity of multifractal behavior. Finally, the influence and important meaning of the change of temperature time series exponent on Holder exponent are also explained.