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Provedor de dados: |
ArchiMer
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País: |
France
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Título: |
Lagrangian ocean analysis: fundamentals and practices
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Autores: |
Van Sebille, Erik
Griffies, Stephen M.
Abernathey, Ryan
Adams, Thomas P.
Berloff, Pavel
Biastoch, Arne
Blanke, Bruno
Chassignet, Eric P.
Cheng, Yu
Cotter, Colin J.
Deleersnijder, Eric
Doos, Kristofer
Drake, Henri F.
Drijfhout, Sybren
Gary, Stefan F.
Heemink, Arnold W.
Kjellsson, Joakim
Koszalka, Inga Monika
Lange, Michael
Lique, Camille
Macgilchrist, Graeme A.
Marsh, Robert
Adame, C. Gabriela Mayorga
Mcadam, Ronan
Nencioli, Francesco
Paris, Claire B.
Piggott, Matthew D.
Polton, Jeff A.
Ruehs, Siren
Shah, Syed H. A. M.
Thomas, Matthew
Wang, Jinbo
Wolfram, Phillip J.
Zanna, Laure
Zika, Jan D.
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Data: |
2018-01
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Ano: |
2018
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Palavras-chave: |
Ocean circulation
Lagrangian analysis
Connectivity
Particle tracking
Future modelling
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Resumo: |
Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of virtual particles are integrated within the three-dimensional, time-evolving velocity fields. Over several decades, a variety of tools and methods for this purpose have emerged. Here, we review the state of the art in the field of Lagrangian analysis of ocean velocity data, starting from a fundamental kinematic framework and with a focus on large-scale open ocean applications. Beyond the use of explicit velocity fields, we consider the influence of unresolved physics and dynamics on particle trajectories. We comprehensively list and discuss the tools currently available for tracking virtual particles. We then showcase some of the innovative applications of trajectory data, and conclude with some open questions and an outlook. The overall goal of this review paper is to reconcile some of the different techniques and methods in Lagrangian ocean analysis, while recognising the rich diversity of codes that have and continue to emerge, and the challenges of the coming age of petascale computing.
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Tipo: |
Text
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Idioma: |
Inglês
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Identificador: |
http://archimer.ifremer.fr/doc/00412/52324/53099.pdf
DOI:10.1016/j.ocemod.2017.11.008
http://archimer.ifremer.fr/doc/00412/52324/
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Editor: |
Elsevier Sci Ltd
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Formato: |
application/pdf
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Fonte: |
Ocean Modelling (1463-5003) (Elsevier Sci Ltd), 2018-01 , Vol. 121 , P. 49-75
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Direitos: |
2017 The Authors. Published by Elsevier Ltd.
info:eu-repo/semantics/openAccess
restricted use
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