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| 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.. |
| 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... |
| Tipo: Text |
Palavras-chave: Ocean circulation; Lagrangian analysis; Connectivity; Particle tracking; Future modelling. |
| Ano: 2018 |
URL: http://archimer.ifremer.fr/doc/00412/52324/53099.pdf |
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| Maximenko, Nikolai; Corradi, Paolo; Law, Kara Lavender; Van Sebille, Erik; Garaba, Shungudzemwoyo P.; Lampitt, Richard Stephen; Galgani, Francois; Martinez-vicente, Victor; Goddijn-murphy, Lonneke; Veiga, Joana Mira; Thompson, Richard C.; Maes, Christophe; Moller, Delwyn; Löscher, Carolin Regina; Addamo, Anna Maria; Lamson, Megan R.; Centurioni, Luca R.; Posth, Nicole R.; Lumpkin, Rick; Vinci, Matteo; Martins, Ana Maria; Pieper, Catharina Diogo; Isobe, Atsuhiko; Hanke, Georg; Edwards, Margo; Chubarenko, Irina P.; Rodriguez, Ernesto; Aliani, Stefano; Arias, Manuel; Asner, Gregory P.; Brosich, Alberto; Carlton, James T.; Chao, Yi; Cook, Anna-marie; Cundy, Andrew B.; Galloway, Tamara S.; Giorgetti, Alessandra; Goni, Gustavo Jorge; Guichoux, Yann; Haram, Linsey E.; Hardesty, Britta Denise; Holdsworth, Neil; Lebreton, Laurent; Leslie, Heather A.; Macadam-somer, Ilan; Mace, Thomas; Manuel, Mark; Marsh, Robert; Martinez, Elodie; Mayor, Daniel J.; Le Moigne, Morgan; Molina Jack, Maria Eugenia; Mowlem, Matt Charles; Obbard, Rachel W.; Pabortsava, Katsiaryna; Robberson, Bill; Rotaru, Amelia-elena; Ruiz, Gregory M.; Spedicato, Maria Teresa; Thiel, Martin; Turra, Alexander; Wilcox, Chris. |
| Plastics and other artificial materials pose new risks to the health of the ocean. Anthropogenic debris travels across large distances and is ubiquitous in the water and on shorelines, yet, observations of its sources, composition, pathways, and distributions in the ocean are very sparse and inaccurate. Total amounts of plastics and other man-made debris in the ocean and on the shore, temporal trends in these amounts under exponentially increasing production, as well as degradation processes, vertical fluxes, and time scales are largely unknown. Present ocean circulation models are not able to accurately simulate drift of debris because of its complex hydrodynamics. In this paper we discuss the structure of the future integrated marine debris observing... |
| Tipo: Text |
Palavras-chave: Plastics; Marine debris; Sensor development; Observing network; Ecosystemstressors; Maritime safety. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00511/62272/66477.pdf |
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