@article{6831d613ede84792a6aa8721e9691dbe,
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. 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.",
keywords = "Connectivity, Future modelling, Lagrangian analysis, Ocean circulation, Particle tracking",
author = "{van Sebille}, Erik and Griffies, {Stephen M.} and Ryan Abernathey and Adams, {Thomas P.} and Pavel Berloff and Arne Biastoch and Bruno Blanke and Chassignet, {Eric P.} and Yu Cheng and Cotter, {Colin J.} and Eric Deleersnijder and Kristofer D{\"o}{\"o}s and Drake, {Henri F.} and Sybren Drijfhout and Gary, {Stefan F.} and Heemink, {Arnold W.} and Joakim Kjellsson and Koszalka, {Inga Monika} and Michael Lange and Camille Lique and MacGilchrist, {Graeme A.} and Robert Marsh and {Mayorga Adame}, {C. Gabriela} and Ronan McAdam and Francesco Nencioli and Paris, {Claire B.} and Piggott, {Matthew D.} and Polton, {Jeff A.} and Siren R{\"u}hs and Shah, {Syed H.A.M.} and Thomas, {Matthew D.} and Jinbo Wang and Wolfram, {Phillip J.} and Laure Zanna and Zika, {Jan D.}",
note = "Funding Information: This review paper is the result of very fruitful discussions during the “Future of Lagrangian Ocean Modelling” workshop, held at Imperial College London, UK, in September 2015. Funding for this workshop was provided through an EPSRC Institutional Sponsorship grant to EvS under reference number EP/N50869X/1 . EvS has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 715386 ). This research for PJW was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. Funding for HFD was provided by Grant No. DE-SC0012457 from the US Department of Energy . PB acknowledges support for this work from NERC grant NE/R011567/1. SFG is supported by NERC National Capability funding through the Extended Ellett Line Programme. ED is an honorary Research Associate with the Belgian Fund for Scientific Research (F.R.S.-FNRS). SR was funded (Grant CP1412) by the Cluster of Excellence 80 “The Future Ocean” within the framework of the Excellence Initiative by the Deutsche Forschungsgemeinschaft (DFG) on behalf of the German federal and state governments. We thank Sergey Danilov (editor), Andrew Shao, Fran{\c c}ois Primeau, Nathaniel Tarshish, and five anonymous reviewers for very helpful comments. Publisher Copyright: {\textcopyright} 2017 The Authors",
year = "2018",
month = jan,
doi = "10.1016/j.ocemod.2017.11.008",
language = "English (US)",
volume = "121",
pages = "49--75",
journal = "Ocean Modelling",
issn = "1463-5003",
publisher = "Elsevier BV",
}