Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/22189
Título: Fractal analysis of deep ocean current speed time series
Autores/as: Cabrera Brito, Laura
Rodríguez Rodríguez, Germán 
García Weil, Luis 
Pacheco Martínez, Mercedes 
Pérez-Martell, Esther 
Waniek, J. J.
Clasificación UNESCO: 251007 Oceanografía física
Palabras clave: North Atlantic Ocean
Currents
Ocean dynamics
Fecha de publicación: 2017
Publicación seriada: Journal of Atmospheric and Oceanic Technology 
Resumen: Fractal properties of deep ocean current speed time series, measured at a single-point mooring on the Madeira Abyssal Plain at 1000- and 3000-m depth, are explored over the range between one week and 5 years, by using the detrended fluctuation analysis and multifractal detrended fluctuation analysis methodologies. The detrended fluctuation analysis reveals the existence of two subranges with different scaling behaviors. Long-range temporal correlations following a power law are found in the time-scale range between approximately 50 days and 5 years, while a Brownian motion–type behavior is observed for shorter time scales. The multifractal analysis approach underlines a multifractal structure whose intensity decreases with depth. The analysis of the shuffled and surrogate versions of the original time series shows that multifractality is mainly due to long-range correlations, although there is a weak nonlinear contribution at 1000-m depth, which is confirmed by the detrended fluctuation analysis of volatility time series.
URI: http://hdl.handle.net/10553/22189
ISSN: 0739-0572
DOI: 10.1175/JTECH-D-16-0098.1
Fuente: Journal of Atmospheric and Oceanic Technology [ISSN 0739-0572], v. 34 (4), p. 817-827
Derechos: by-nc-nd
Colección:Artículos
miniatura
Adobe PDF (1,13 MB)
Vista completa

Citas SCOPUSTM   

8
actualizado el 15-dic-2024

Citas de WEB OF SCIENCETM
Citations

8
actualizado el 15-dic-2024

Visitas

105
actualizado el 24-ene-2024

Descargas

125
actualizado el 24-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.