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Lagrangian ocean analysis: fundamentals and practices

Lagrangian ocean analysis: fundamentals and practices
Lagrangian ocean analysis: fundamentals and practices
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.
1463-5003
49-75
Van Sebille, Erik
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Griffies, Stephen M.
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Abernathey, Ryan
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Adams, Thomas P.
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Berloff, Pavel
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Biastoch, Arne
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Blanke, Bruno
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Chassignet, Eric P.
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Cheng, Yu
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Cotter, Colin J.
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Deleersnijder, Eric
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Döös, Kristofer
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Drake, Henri
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Drijfhout, Sybren
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Gary, Stefan F.
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Heemink, Arnold W.
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Kjellsson, Joakim
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Koszalka, Inga Monika
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Lange, Michael
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Lique, Camille
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Macgilchrist, Graeme A.
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Marsh, Robert
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Mayorga Adame, C. Gabriela
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Mcadam, Ronan
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Nencioli, Francesco
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Paris, Claire B.
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Piggott, Matthew D.
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Polton, Jeff A.
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Rühs, Siren
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Shah, Syed H.a.m.
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Thomas, Matthew D.
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Wang, Jinbo
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Wolfram, Phillip J.
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Zanna, Laure
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Zika, Jan D.
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Van Sebille, Erik
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Griffies, Stephen M.
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Abernathey, Ryan
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Adams, Thomas P.
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Berloff, Pavel
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Biastoch, Arne
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Blanke, Bruno
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Chassignet, Eric P.
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Cheng, Yu
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Cotter, Colin J.
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Deleersnijder, Eric
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Döös, Kristofer
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Drake, Henri
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Drijfhout, Sybren
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Gary, Stefan F.
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Heemink, Arnold W.
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Kjellsson, Joakim
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Koszalka, Inga Monika
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Lange, Michael
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Lique, Camille
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Macgilchrist, Graeme A.
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Marsh, Robert
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Mayorga Adame, C. Gabriela
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Mcadam, Ronan
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Nencioli, Francesco
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Paris, Claire B.
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Piggott, Matthew D.
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Polton, Jeff A.
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Rühs, Siren
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Shah, Syed H.a.m.
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Thomas, Matthew D.
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Wang, Jinbo
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Wolfram, Phillip J.
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Zanna, Laure
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Zika, Jan D.
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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, Döös, Kristofer, Drake, Henri, Drijfhout, Sybren, Gary, Stefan F., Heemink, Arnold W., Kjellsson, Joakim, Koszalka, Inga Monika, Lange, Michael, Lique, Camille, Macgilchrist, Graeme A., Marsh, Robert, Mayorga Adame, C. Gabriela, Mcadam, Ronan, Nencioli, Francesco, Paris, Claire B., Piggott, Matthew D., Polton, Jeff A., Rühs, Siren, Shah, Syed H.a.m., Thomas, Matthew D., Wang, Jinbo, Wolfram, Phillip J., Zanna, Laure and Zika, Jan D. (2018) Lagrangian ocean analysis: fundamentals and practices. Ocean Modelling, 121, 49-75. (doi:10.1016/j.ocemod.2017.11.008).

Record type: Article

Abstract

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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Accepted/In Press date: 23 November 2017
e-pub ahead of print date: 24 November 2017
Published date: 1 January 2018

Identifiers

Local EPrints ID: 415951
URI: http://eprints.soton.ac.uk/id/eprint/415951
ISSN: 1463-5003
PURE UUID: 72d21598-0737-46be-90ae-e97676b1d704

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Date deposited: 29 Nov 2017 17:30
Last modified: 06 Oct 2020 19:31

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Contributors

Author: Erik Van Sebille
Author: Stephen M. Griffies
Author: Ryan Abernathey
Author: Thomas P. Adams
Author: Pavel Berloff
Author: Arne Biastoch
Author: Bruno Blanke
Author: Eric P. Chassignet
Author: Yu Cheng
Author: Colin J. Cotter
Author: Eric Deleersnijder
Author: Kristofer Döös
Author: Henri Drake
Author: Stefan F. Gary
Author: Arnold W. Heemink
Author: Joakim Kjellsson
Author: Inga Monika Koszalka
Author: Michael Lange
Author: Camille Lique
Author: Graeme A. Macgilchrist
Author: Robert Marsh
Author: C. Gabriela Mayorga Adame
Author: Ronan Mcadam
Author: Francesco Nencioli
Author: Claire B. Paris
Author: Matthew D. Piggott
Author: Jeff A. Polton
Author: Siren Rühs
Author: Syed H.a.m. Shah
Author: Matthew D. Thomas
Author: Jinbo Wang
Author: Phillip J. Wolfram
Author: Laure Zanna
Author: Jan D. Zika

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