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Memorias de investigación
Communications at congresses:
Multifractal detrended fluctuation analysis of wind velocity time series
Year:2008
Research Areas
  • Mathematics,
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
EGU General Assembly 2008
960
Place
Viena, Austria
Reviewers
Si
ISBN/ISSN
1029-7006
Start Date
13/04/2008
End Date
18/04/2008
From page
1
To page
1
Geophysical Research Abstracts, Vol. 10, SRef-ID: 1607-7962/gra/EGU2008-A-04444
Participants
  • Autor: Maria Teresa Castellanos Moncho (UPM)
  • Autor: Ana Maria Tarquis Alfonso (UPM)
  • Autor: M. del Carmen Morato Izquierdo (UPM)
  • Autor: Juan Isidoro Seijas Martinez-Echevarria (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
  • Departamento: Señales, Sistemas y Radiocomunicaciones
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
  • Grupo de Investigación: TI Aplicadas a la Ingeniería Agronómica
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