FN Archimer Export Format PT J TI Lagrangian ocean analysis: fundamentals and practices BT AF 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 DOOS, 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 ADAME, C. Gabriela Mayorga MCADAM, Ronan NENCIOLI, Francesco PARIS, Claire B. PIGGOTT, Matthew D. POLTON, Jeff A. RUEHS, Siren SHAH, Syed H. A. M. THOMAS, Matthew WANG, Jinbo WOLFRAM, Phillip J. ZANNA, Laure ZIKA, Jan D. AS 1:1,2,3;2:4;3:5;4:6;5:7;6:8;7:9;8:10;9:11;10:7;11:12,13,14;12:16;13:17,18,19;14:20;15:6;16:14;17:21,23;18:30;19:22;20:28;21:24;22:20;23:25;24:1,2;25:26;26:11;27:;28:25;29:8;30:14,15;31:27;32:28;33:29;34:23;35:1,2,31; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:PDG-ODE-LOPS-OH;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:;33:;34:;35:; C1 Imperial Coll London, Grantham Inst, London, England. Imperial Coll London, Dept Phys, London, England. Univ Utrecht, Inst Marine & Atmospher Res, Utrecht, Netherlands. NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA. Columbia Univ, Dept Earth & Environm Sci, New York, NY 10027 USA. Scottish Assoc Marine Sci, Oban, Argyll, Scotland. Imperial Coll London, Dept Math, London, England. GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany. CNRS IFREMER IRD UBO, UMR 6523, Lab Oceanograph Phys & Spatiale, Brest, France. Florida State Univ, Ctr Ocean Atmospher Predict Studies, Tallahassee, FL 32306 USA. Univ Miami, Dept Ocean Sci, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL USA. Catholic Univ Louvain, Inst Mech Mat & Civil Engn, Louvain La Neuve, Belgium. Catholic Univ Louvain, Earth & Life Inst, Louvain La Neuve, Belgium. Delft Univ Technol, Delft Inst Appl Math, Delft, Netherlands. Sukkur Inst Business Adm, Dept Matemat, Sukkur, Pakistan. Stockholm Univ, Bolin Ctr Climate Res, Dept Meteorol, Stockholm, Sweden. Princeton Univ, Dept Atmospher & Ocean Sci, Princeton, NJ 08544 USA. MIT, Cambridge, MA 02139 USA. Woods Hole Oceanog Inst, Joint Program Oceanog, Woods Hole, MA 02543 USA. Univ Southampton, Southampton, Hants, England. British Antarct Survey, Cambridge, England. Imperial Coll London, Dept Earth Sci & Engn, London, England. Univ Oxford, Dept Phys, Oxford, England. Univ Oxford, Dept Earth Sci, Oxford, England. Natl Oceanog Ctr, Liverpool, Merseyside, England. Plymouth Marine Lab, Remote Sensing Grp, Plymouth, Devon, England. Yale Univ, Sch Geol & Geophys, New Haven, CT 06520 USA. CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA. Los Alamos Natl Lab, Theoret Div Fluid Dynam & Solid Mech, Climate Ocean & Sea Ice Modeling, Los Alamos, NM USA. Christian Albrechts Univ Kiel, Kiel, Germany. Univ New South Wales, Sch Math & Stat, Sydney, NSW, Australia. C2 IMPERIAL COLL LONDON, UK IMPERIAL COLL LONDON, UK UNIV UTRECHT, NETHERLANDS NOAA, USA UNIV COLUMBIA, USA SAMS, UK IMPERIAL COLL LONDON, UK GEOMAR, GERMANY CNRS, FRANCE UNIV FLORIDA STATE, USA UNIV MIAMI, USA CATHOLIC UNIV LOUVAIN, BELGIUM CATHOLIC UNIV LOUVAIN, BELGIUM UNIV DELFT, NETHERLANDS SUKKUR INST BUSINESS ADM, PAKISTAN UNIV STOCKHOLM, SWEDEN UNIV PRINCETON, USA MIT, USA WHOI, USA UNIV SOUTHAMPTON, UK BRITISH ANTARCTIC SURVEY, UK IMPERIAL COLL LONDON, UK UNIV OXFORD, UK UNIV OXFORD, UK NOC, UK PML, UK UNIV YALE, USA CALTECH, USA LOS ALAMOS NATL LAB, USA UNIV KIEL, GERMANY UNIV NEW SOUTH WALES, AUSTRALIA IFREMER, FRANCE SI BREST SE PDG-ODE-LOPS-OH UM LOPS IN WOS Ifremer jusqu'en 2018 copubli-france copubli-europe copubli-int-hors-europe copubli-sud IF 3.095 TC 293 UR https://archimer.ifremer.fr/doc/00412/52324/53099.pdf LA English DT Article DE ;Ocean circulation;Lagrangian analysis;Connectivity;Particle tracking;Future modelling AB 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. PY 2018 PD JAN SO Ocean Modelling SN 1463-5003 PU Elsevier Sci Ltd VL 121 UT 000418321100004 BP 49 EP 75 DI 10.1016/j.ocemod.2017.11.008 ID 52324 ER EF