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Employing the Hilbert–Huang Transform to analyze observed natural complex signals: Calm wind meandering cases

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  • Martins, Luis Gustavo Nogueira
  • Stefanello, Michel Baptistella
  • Degrazia, Gervásio Annes
  • Acevedo, Otávio Costa
  • Puhales, Franciano Scremin
  • Demarco, Giuliano
  • Mortarini, Luca
  • Anfossi, Domenico
  • Roberti, Débora Regina
  • Costa, Felipe Denardin
  • Maldaner, Silvana

Abstract

In this study we analyze natural complex signals employing the Hilbert–Huang spectral analysis. Specifically, low wind meandering meteorological data are decomposed into turbulent and non turbulent components. These non turbulent movements, responsible for the absence of a preferential direction of the horizontal wind, provoke negative lobes in the meandering autocorrelation functions. The meandering characteristic time scales (meandering periods) are determined from the spectral peak provided by the Hilbert–Huang marginal spectrum. The magnitudes of the temperature and horizontal wind meandering period obtained agree with the results found from the best fit of the heuristic meandering autocorrelation functions. Therefore, the new method represents a new procedure to evaluate meandering periods that does not employ mathematical expressions to represent observed meandering autocorrelation functions.

Suggested Citation

  • Martins, Luis Gustavo Nogueira & Stefanello, Michel Baptistella & Degrazia, Gervásio Annes & Acevedo, Otávio Costa & Puhales, Franciano Scremin & Demarco, Giuliano & Mortarini, Luca & Anfossi, Domenic, 2016. "Employing the Hilbert–Huang Transform to analyze observed natural complex signals: Calm wind meandering cases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1189-1196.
  • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:1189-1196
    DOI: 10.1016/j.physa.2016.06.147
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    1. Moor, L.P. & Degrazia, G.A. & Stefanello, M.B. & Mortarini, L. & Acevedo, O.C. & Maldaner, S. & Szinvelski, C.R.P. & Roberti, D.R. & Buligon, L. & Anfossi, D., 2015. "Proposal of a new autocorrelation function in low wind speed conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 286-292.
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