自然科学版 英文版
自然科学版 英文版
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中南大学学报(英文版)

Journal of Central South University

Vol. 24    No. 3    March 2017

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Temporal-spatial cross-correlation analysis of non-stationary near-surface wind speed time series
ZENG Ming(曾明), LI Jing-hai(李静海), MENG Qing-hao(孟庆浩), ZHANG Xiao-nei(张小内)

Institute of Robotics and Autonomous Systems, Tianjin Key Laboratory of Process Measurement and Control(School of Electrical Automation and Information Engineering, Tianjin University), Tianjin 300072, China

Abstract:Temporal-spatial cross-correlation analysis of non-stationary wind speed time series plays a crucial role in wind field reconstruction as well as in wind pattern recognition. Firstly, the near-surface wind speed time series recorded at different locations are studied using the detrended fluctuation analysis (DFA), and the corresponding scaling exponents are larger than 1. This indicates that all these wind speed time series have non-stationary characteristics. Secondly, concerning this special feature(i.e., non-stationarity)of wind signals, a cross-correlation analysis method, namely detrended cross-correlation analysis (DCCA) coefficient, is employed to evaluate the temporal-spatial cross-correlations between non-stationary time series of different anemometer pairs. Finally, experiments on ten wind speed data synchronously collected by the ten anemometers with equidistant arrangement illustrate that the method of DCCA cross-correlation coefficient can accurately analyze full-scale temporal-spatial cross-correlation between non-stationary time series and also can easily identify the seasonal component, while three traditional cross-correlation techniques (i.e., Pearson coefficient, cross-correlation function, and DCCA method) cannot give us these information directly.

 

Key words: temporal-spatial cross-correlation; near-surface wind speed time series; detrended cross-correlation analysis (DCCA); cross-correlation coefficient; Pearson coefficient; cross-correlation function

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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