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Multifractal analysis of validated wind speed time series
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Image of FIG. 1.
FIG. 1.

Spatial distribution of stations located in Cadiz province (Andalusia, Southern Spain).

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FIG. 2.

Semihourly wind speed time series registered at Conil, Jerez, Jimena, Puerto, Vejer, and Villamartin stations for four years (2002–2005).

Image of FIG. 3.
FIG. 3.

Log-log plot of the qth moments of wind speed intensity ελ on the time scales from 0.5 h (λ = 65536) up to 32 768 h (almost four years, λ = 1), versus the scale ratio λ at all the locations. (a) For moments higher than 1; (b) for moments lower than 1.

Image of FIG. 4.
FIG. 4.

Empirical moments scaling exponent functions k(q) for the range of scales from 24 h to three months and considering the qth moments of the wind speed intensity.

Image of FIG. 5.
FIG. 5.

Detailed empirical moments scaling exponents functions K(q) for all the locations, indicating the values for qcrit and γ max.


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Table I.

Summary of weather station site characteristics used in this study (Cadiz province).

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Table II.

Validation procedures applied to wind speed ( Estévez et al., 2011 ).

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Table III.

Percentage of anomalous data detected (%) at each automated weather station.

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Table IV.

Characterization of empirical function K(q) at q = 0, and values of the fractal dimension (D) and percentage of zero wind speed values (% Zero), for all the locations.


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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Multifractal analysis of validated wind speed time series