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Related Experiment Video

Updated: May 12, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

Multifractal analysis of validated wind speed time series.

A P García-Marín¹, J Estévez, F J Jiménez-Hornero

¹Department of Rural Engineering, University of Cordoba, P.O. Box 3048, 14080 Córdoba, Spain. amanda.garcia@uco.es

Chaos (Woodbury, N.Y.)

|April 6, 2013

Summary

This study analyzed multifractal properties of wind speed data from Cadiz, Spain. Results reveal consistent scaling behavior but highlight variations linked to extreme weather events and zero values.

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Area of Science:

Geophysics
Atmospheric Science
Complex Systems

Background:

Wind energy potential assessment requires understanding wind speed variability across diverse time scales.
Multifractal analysis offers a robust framework for characterizing complex, non-stationary time series like wind speed data.

Purpose of the Study:

To investigate the multifractal characteristics of 30-minute wind speed data from six locations in Cadiz, Southern Spain.
To determine how different time scales and data quality influence multifractal parameters.
To identify the factors contributing to observed variations in multifractal properties.

Main Methods:

Data validation using quality control tests to ensure reliability.
Analysis of wind speed moments to obtain empirical scaling exponent functions, K(q).
Comparison of multifractal parameters (qcrit, γmax, K(0)) across different locations.

Main Results:

A consistent critical moment (qcrit) was found across all analyzed locations.
Variations in other multifractal parameters (γmax, K(0)) were observed between sites.
Differences were attributed to the presence of extreme wind events and zero wind speed data points.

Conclusions:

The multifractal analysis provides detailed insights into wind speed dynamics at various time scales.
Data quality and the occurrence of extreme events significantly impact the multifractal signature of wind speed series.
Understanding these multifractal properties is crucial for accurate wind resource assessment and modeling.