Fractal analysis of deep ocean current speed time series
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...
Published in: | Journal of Atmospheric and Oceanic Technology |
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Online Access: | http://hdl.handle.net/10553/22189 https://doi.org/10.1175/JTECH-D-16-0098.1 |
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ftunivlaspalmas:oai:https://accedacris.ulpgc.es:10553/22189 2023-05-15T17:32:43+02:00 Fractal analysis of deep ocean current speed time series Cabrera Brito, Laura Rodríguez Rodríguez, Germán García Weil, Luis Pacheco Martínez, Mercedes Pérez-Martell, Esther Waniek, J. J. 2017-06-15T02:36:14Z application/pdf http://hdl.handle.net/10553/22189 https://doi.org/10.1175/JTECH-D-16-0098.1 eng eng Journal of Atmospheric and Oceanic Technology 0739-0572 http://hdl.handle.net/10553/22189 doi:10.1175/JTECH-D-16-0098.1 -;2319;2763;412;- 1520-0426 827 4 817 34 2319;2763;412 by-nc-nd info:eu-repo/semantics/openAccess CC-BY-NC-ND Journal of Atmospheric and Oceanic Technology [ISSN 0739-0572], v. 34 (4), p. 817-827 251007 Oceanografía física North Atlantic Ocean Currents Ocean dynamics Article info:eu-repo/semantics/article 2017 ftunivlaspalmas https://doi.org/10.1175/JTECH-D-16-0098.1 2019-10-15T23:06:37Z 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. Article in Journal/Newspaper North Atlantic Universidad de Las Palmas de Gran Canaria: Acceda Journal of Atmospheric and Oceanic Technology 34 4 817 827 |
institution |
Open Polar |
collection |
Universidad de Las Palmas de Gran Canaria: Acceda |
op_collection_id |
ftunivlaspalmas |
language |
English |
topic |
251007 Oceanografía física North Atlantic Ocean Currents Ocean dynamics |
spellingShingle |
251007 Oceanografía física North Atlantic Ocean Currents Ocean dynamics Cabrera Brito, Laura Rodríguez Rodríguez, Germán García Weil, Luis Pacheco Martínez, Mercedes Pérez-Martell, Esther Waniek, J. J. Fractal analysis of deep ocean current speed time series |
topic_facet |
251007 Oceanografía física North Atlantic Ocean Currents Ocean dynamics |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Cabrera Brito, Laura Rodríguez Rodríguez, Germán García Weil, Luis Pacheco Martínez, Mercedes Pérez-Martell, Esther Waniek, J. J. |
author_facet |
Cabrera Brito, Laura Rodríguez Rodríguez, Germán García Weil, Luis Pacheco Martínez, Mercedes Pérez-Martell, Esther Waniek, J. J. |
author_sort |
Cabrera Brito, Laura |
title |
Fractal analysis of deep ocean current speed time series |
title_short |
Fractal analysis of deep ocean current speed time series |
title_full |
Fractal analysis of deep ocean current speed time series |
title_fullStr |
Fractal analysis of deep ocean current speed time series |
title_full_unstemmed |
Fractal analysis of deep ocean current speed time series |
title_sort |
fractal analysis of deep ocean current speed time series |
publishDate |
2017 |
url |
http://hdl.handle.net/10553/22189 https://doi.org/10.1175/JTECH-D-16-0098.1 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Journal of Atmospheric and Oceanic Technology [ISSN 0739-0572], v. 34 (4), p. 817-827 |
op_relation |
Journal of Atmospheric and Oceanic Technology 0739-0572 http://hdl.handle.net/10553/22189 doi:10.1175/JTECH-D-16-0098.1 -;2319;2763;412;- 1520-0426 827 4 817 34 2319;2763;412 |
op_rights |
by-nc-nd info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1175/JTECH-D-16-0098.1 |
container_title |
Journal of Atmospheric and Oceanic Technology |
container_volume |
34 |
container_issue |
4 |
container_start_page |
817 |
op_container_end_page |
827 |
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1766130958367457280 |