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Cited by 601

The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.

Lagrangian ocean analysis: Fundamentals and practices

Open access
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.·2018·Ocean Modelling

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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Metadata

Authors
van Sebille, E., Griffies, S. M., Abernathey, R., Adams, T. P., Berloff, P., Biastoch, A., Blanke, B., Chassignet, E. P., Cheng, Y., Cotter, C. J., Deleersnijder, E., Döös, K., Drake, H. F., Drijfhout, S., Gary, S. F., Heemink, A. W., Kjellsson, J., Koszalka, I. M., Lange, M., Lique, C., MacGilchrist, G. A., Marsh, R., Mayorga Adame, C. G., McAdam, R., Nencioli, F., Paris, C. B., Piggott, M. D., Polton, J. A., Rühs, S., Shah, S. H. A. M., Thomas, M. D., Wang, J., Wolfram, P. J., Zanna, L., & Zika, J. D.
Venue
Ocean Modelling
Publisher
Elsevier BV
Published
2018-01
Volume
121
Pages
49-75
ISSN
1463-5003 (ISSN-L)
OpenAlex
W2770369581
Cited by
601
References
191
FWCI
24.11
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Lagrangian ocean analysis: Fundamentals and practices. https://app.cochat.ai/papers/10.1016/j.ocemod.2017.11.008
The paper
van Sebille, E., Griffies, S. M., Abernathey, R., Adams, T. P., Berloff, P., Biastoch, A., Blanke, B., Chassignet, E. P., Cheng, Y., Cotter, C. J., Deleersnijder, E., Döös, K., Drake, H. F., Drijfhout, S., Gary, S. F., Heemink, A. W., Kjellsson, J., Koszalka, I. M., Lange, M., . . . Zika, J. D. (2018). Lagrangian ocean analysis: Fundamentals and practices. Ocean Modelling. https://doi.org/10.1016/j.ocemod.2017.11.008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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