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Descripción
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| The temporal structure of wind was investigated by means of temporal correlations of 10-min wind time series measured over a period of one year (2004). The Hurst exponent (H), one of a number of methods to identify the existence of long-range correlations in experimental data, has been applied to quantify self-similarity scaling and correlations in the mesoscale temporal range. The Hurst exponent can be calculated by several different algorithms, each of which has particular advantages and disadvantages. One of these methods is via Multifractal Detrended Fluctuation Analysis (MFDFA) that has been used recently in wind fluctuation series. This type of analysis has important implications on the understanding of wind-speed patterns and shows this variable to be more heterogeneous than is usually modeled in environmental and agricultural models. | |
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Internacional
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Si |
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Nombre congreso
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EGU General Assembly 2008 |
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Tipo de participación
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960 |
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Lugar del congreso
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Viena, Austria |
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Revisores
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Si |
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ISBN o ISSN
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1029-7006 |
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DOI
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Fecha inicio congreso
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13/04/2008 |
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Fecha fin congreso
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18/04/2008 |
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Desde la página
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1 |
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Hasta la página
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1 |
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Título de las actas
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Geophysical Research Abstracts, Vol. 10, SRef-ID: 1607-7962/gra/EGU2008-A-04444 |