Lagrangian ocean analysis: Fundamentals and practices

Erik van Sebille; Stephen M Griffies; Ryan Abernathey; Thomas P Adams; Pavel Berloff; Arne Biastoch; Bruno Blanke; Eric P Chassignet; Yu Cheng; Colin J Cotter; Eric Deleersnijder; Kristofer Döös; Henri F Drake; Sybren Drijfhout; Stefan F Gary; Arnold W Heemink; Joakim Kjellsson; Inga Monika Koszalka; Michael Lange; Camille Lique; Graeme A MacGilchrist; Robert Marsh; C. Gabriela Mayorga Adame; Ronan McAdam; Francesco Nencioli; Claire B Paris; Matthew D Piggott; Jeff A Polton; Siren Rühs; Syed H.A.M Shah; Matthew D Thomas; Jinbo Wang; Phillip J Wolfram; Laure Zanna; Jan D Zika; Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

doi:10.1016/j.ocemod.2017.11.008

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Lagrangian ocean analysis: Fundamentals and practices

Journal article

Open access

Peer reviewed

Lagrangian ocean analysis: Fundamentals and practices

Erik van Sebille, Stephen M Griffies, Ryan Abernathey, Thomas P Adams, Pavel Berloff, Arne Biastoch, Bruno Blanke, Eric P Chassignet, Yu Cheng, Colin J Cotter, …

Ocean modelling (Oxford), Vol.121(C), pp.49-75

2018-01

DOI: https://doi.org/10.1016/j.ocemod.2017.11.008

Abstract

Future modelling

Lagrangian analysis

Connectivity

Ocean circulation

Particle tracking

•Lagrangian ocean analysis is a powerful way to analyse the output of ocean circulation models.•We present a review of the Kinematic framework, available tools, and applications of Lagrangian ocean analysis.•While there are unresolved questions, the framework is robust enough to be used widely in ocean modelling. 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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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 8 Earth Sciences; 8.19 Oceanography, Meteorology & Atmospheric Sciences; 8.19.153 Internal Waves
Web Of Science research areas: Meteorology & Atmospheric Sciences; Oceanography
ESI research areas: Geosciences

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Title: Lagrangian ocean analysis: Fundamentals and practices
Creators: Erik van Sebille - Grantham Institute & Department of Physics, Imperial College London, UK
Stephen M Griffies - NOAA / Geophysical Fluid Dynamics Laboratory, Princeton, USA
Ryan Abernathey - Department of Earth and Environmental Sciences, Columbia University, NY, USA
Thomas P Adams - Scottish Association for Marine Science, Oban, UK
Pavel Berloff - Department of Mathematics, Imperial College London, UK
Arne Biastoch - GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Bruno Blanke - Laboratoire d’Oceanographie Physique et Spatiale, UMR 6523, CNRS-IFREMER-IRD-UBO, Brest, France
Eric P Chassignet - Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Yu Cheng - Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, USA
Colin J Cotter - Department of Mathematics, Imperial College London, UK
Eric Deleersnijder - Université catholique de Louvain, Institute of Mechanics, Materials and Civil Engineering (IMMC) & Earth and Life Institute (ELI), Louvain-la-Neuve, Belgium
Kristofer Döös - Department of Meteorology, Bolin Centre for Climate Research, Stockholm University, Sweden
Henri F Drake - Department Atmospheric and Oceanic Sciences, Princeton University, USA
Sybren Drijfhout - University of Southampton, UK
Stefan F Gary - Scottish Association for Marine Science, Oban, UK
Arnold W Heemink - Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Netherlands
Joakim Kjellsson - British Antarctic Survey, Cambridge, UK
Inga Monika Koszalka - GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Michael Lange - Grantham Institute & Department of Physics, Imperial College London, UK
Camille Lique - Laboratoire d’Oceanographie Physique et Spatiale, UMR 6523, CNRS-IFREMER-IRD-UBO, Brest, France
Graeme A MacGilchrist - Department of Earth Sciences, University of Oxford, UK
Robert Marsh - University of Southampton, UK
C. Gabriela Mayorga Adame - National Oceanography Centre, Liverpool, UK
Ronan McAdam - Grantham Institute & Department of Physics, Imperial College London, UK
Francesco Nencioli - Remote Sensing Group, Plymouth Marine Laboratory, Plymouth, UK
Claire B Paris - Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, USA
Matthew D Piggott - Department of Earth Science and Engineering, Imperial College London, UK
Jeff A Polton - National Oceanography Centre, Liverpool, UK
Siren Rühs - GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Syed H.A.M Shah - Delft Institute of Applied Mathematics (DIAM), Delft University of Technology, Netherlands
Matthew D Thomas - School of Geology and Geophysics, Yale University, USA
Jinbo Wang - Jet Propulsion Laboratory, California Institute of Technology, USA
Phillip J Wolfram - Climate, Ocean and Sea Ice Modeling, Theoretical Division: Fluid Dynamics and Solid Mechanics, Los Alamos National Laboratory, Los Alamos, NM, USA
Laure Zanna - Department of Physics, University of Oxford, UK
Jan D Zika - Grantham Institute & Department of Physics, Imperial College London, UK
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Details: Ocean modelling (Oxford), Vol.121(C), pp.49-75
Publisher: Elsevier Ltd
Academic Unit: Rosenstiel School; Rosenstiel - Ocean Sciences
Language: English
Resource Type: Journal article
Record Identifier: 991031599380102976