Lagrangian dynamical geography of the Gulf of Mexico

Abstract We construct a Markov-chain representation of the surface-ocean Lagrangian dynamics in a region occupied by the Gulf of Mexico (GoM) and adjacent portions of the Caribbean Sea and North Atlantic using satellite-tracked drifter trajectory data, the largest collection so far considered. From...

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Autores principales: P. Miron, F. J. Beron-Vera, M. J. Olascoaga, J. Sheinbaum, P. Pérez-Brunius, G. Froyland
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/5bd68badd67940f5a92f407e265c6022
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spelling oai:doaj.org-article:5bd68badd67940f5a92f407e265c60222021-12-02T11:52:58ZLagrangian dynamical geography of the Gulf of Mexico10.1038/s41598-017-07177-w2045-2322https://doaj.org/article/5bd68badd67940f5a92f407e265c60222017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07177-whttps://doaj.org/toc/2045-2322Abstract We construct a Markov-chain representation of the surface-ocean Lagrangian dynamics in a region occupied by the Gulf of Mexico (GoM) and adjacent portions of the Caribbean Sea and North Atlantic using satellite-tracked drifter trajectory data, the largest collection so far considered. From the analysis of the eigenvectors of the transition matrix associated with the chain, we identify almost-invariant attracting sets and their basins of attraction. With this information we decompose the GoM’s geography into weakly dynamically interacting provinces, which constrain the connectivity between distant locations within the GoM. Offshore oil exploration, oil spill contingency planning, and fish larval connectivity assessment are among the many activities that can benefit from the dynamical information carried in the geography constructed here.P. MironF. J. Beron-VeraM. J. OlascoagaJ. SheinbaumP. Pérez-BruniusG. FroylandNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
P. Miron
F. J. Beron-Vera
M. J. Olascoaga
J. Sheinbaum
P. Pérez-Brunius
G. Froyland
Lagrangian dynamical geography of the Gulf of Mexico
description Abstract We construct a Markov-chain representation of the surface-ocean Lagrangian dynamics in a region occupied by the Gulf of Mexico (GoM) and adjacent portions of the Caribbean Sea and North Atlantic using satellite-tracked drifter trajectory data, the largest collection so far considered. From the analysis of the eigenvectors of the transition matrix associated with the chain, we identify almost-invariant attracting sets and their basins of attraction. With this information we decompose the GoM’s geography into weakly dynamically interacting provinces, which constrain the connectivity between distant locations within the GoM. Offshore oil exploration, oil spill contingency planning, and fish larval connectivity assessment are among the many activities that can benefit from the dynamical information carried in the geography constructed here.
format article
author P. Miron
F. J. Beron-Vera
M. J. Olascoaga
J. Sheinbaum
P. Pérez-Brunius
G. Froyland
author_facet P. Miron
F. J. Beron-Vera
M. J. Olascoaga
J. Sheinbaum
P. Pérez-Brunius
G. Froyland
author_sort P. Miron
title Lagrangian dynamical geography of the Gulf of Mexico
title_short Lagrangian dynamical geography of the Gulf of Mexico
title_full Lagrangian dynamical geography of the Gulf of Mexico
title_fullStr Lagrangian dynamical geography of the Gulf of Mexico
title_full_unstemmed Lagrangian dynamical geography of the Gulf of Mexico
title_sort lagrangian dynamical geography of the gulf of mexico
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/5bd68badd67940f5a92f407e265c6022
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AT mjolascoaga lagrangiandynamicalgeographyofthegulfofmexico
AT jsheinbaum lagrangiandynamicalgeographyofthegulfofmexico
AT pperezbrunius lagrangiandynamicalgeographyofthegulfofmexico
AT gfroyland lagrangiandynamicalgeographyofthegulfofmexico
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