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Title: Lagrangian ocean analysis: Fundamentals and practices

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. A variety of tools and methods for this purpose have emerged, over several decades. 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. Our 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.

Authors:
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Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC). Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1437781
Alternate Identifier(s):
OSTI ID: 1411342
Report Number(s):
LA-UR-16-24217
Journal ID: ISSN 1463-5003; S1463500317301853; PII: S1463500317301853
Grant/Contract Number:  
SC0012457; AC52-06NA25396
Resource Type:
Published Article
Journal Name:
Ocean Modelling
Additional Journal Information:
Journal Name: Ocean Modelling Journal Volume: 121 Journal Issue: C; Journal ID: ISSN 1463-5003
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English
Subject:
58 GEOSCIENCES; Mathematics; Planetary Sciences

Citation Formats

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 F., 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. Lagrangian ocean analysis: Fundamentals and practices. United Kingdom: N. p., 2018. Web. https://doi.org/10.1016/j.ocemod.2017.11.008.
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 F., 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, & Zika, Jan D. Lagrangian ocean analysis: Fundamentals and practices. United Kingdom. https://doi.org/10.1016/j.ocemod.2017.11.008
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 F., 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. Mon . "Lagrangian ocean analysis: Fundamentals and practices". United Kingdom. https://doi.org/10.1016/j.ocemod.2017.11.008.
@article{osti_1437781,
title = {Lagrangian ocean analysis: Fundamentals and practices},
author = {van Sebille, Erik and Griffies, Stephen M. and Abernathey, Ryan and Adams, Thomas P. and Berloff, Pavel and Biastoch, Arne and Blanke, Bruno and Chassignet, Eric P. and Cheng, Yu and Cotter, Colin J. and Deleersnijder, Eric and Döös, Kristofer and Drake, Henri F. and Drijfhout, Sybren and Gary, Stefan F. and Heemink, Arnold W. and Kjellsson, Joakim and Koszalka, Inga Monika and Lange, Michael and Lique, Camille and MacGilchrist, Graeme A. and Marsh, Robert and Mayorga Adame, C. Gabriela and McAdam, Ronan and Nencioli, Francesco and Paris, Claire B. and Piggott, Matthew D. and Polton, Jeff A. and Rühs, Siren and Shah, Syed H. A. M. and Thomas, Matthew D. and Wang, Jinbo and Wolfram, Phillip J. and Zanna, Laure and Zika, Jan D.},
abstractNote = {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. A variety of tools and methods for this purpose have emerged, over several decades. 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. Our 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.},
doi = {10.1016/j.ocemod.2017.11.008},
journal = {Ocean Modelling},
number = C,
volume = 121,
place = {United Kingdom},
year = {2018},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
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https://doi.org/10.1016/j.ocemod.2017.11.008

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Cited by: 27 works
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