Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]

Lagrangian analysis is becoming increasingly important to better understand the ocean's biological and biogeochemical cycles. Yet, biologists and chemists often lack the technical skills required to set up such analyses. Here, we present a new product of pre-computed ocean Lagrangian trajectori...

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Autores principales: Giorgio Dall'Olmo, Francesco Nencioli, Thomas Jackson, Robert J. W. Brewin, John A. Gittings, Dionysios E. Raitsos
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Publicado: F1000 Research Limited 2021
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Acceso en línea:https://doaj.org/article/096849606c534b2ba87aa7fdd4b1de7f
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spelling oai:doaj.org-article:096849606c534b2ba87aa7fdd4b1de7f2021-11-22T12:41:09ZOcean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]2732-512110.12688/openreseurope.14133.2https://doaj.org/article/096849606c534b2ba87aa7fdd4b1de7f2021-11-01T00:00:00Zhttps://open-research-europe.ec.europa.eu/articles/1-117/v2https://doaj.org/toc/2732-5121Lagrangian analysis is becoming increasingly important to better understand the ocean's biological and biogeochemical cycles. Yet, biologists and chemists often lack the technical skills required to set up such analyses. Here, we present a new product of pre-computed ocean Lagrangian trajectories (OLTraj) targeting non-expert users, and demonstrate how to use it by means of worked examples. OLTraj is based on satellite-derived geostrophic currents, which allows one to directly compare it with other in-situ or satellite products. We anticipate that OLTraj will foster a new interest in Lagrangian applications in ocean biology and biogeochemistry.Giorgio Dall'OlmoFrancesco NencioliThomas JacksonRobert J. W. BrewinJohn A. GittingsDionysios E. RaitsosF1000 Research LimitedarticleScienceQSocial SciencesHENOpen Research Europe, Vol 1 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
Social Sciences
H
spellingShingle Science
Q
Social Sciences
H
Giorgio Dall'Olmo
Francesco Nencioli
Thomas Jackson
Robert J. W. Brewin
John A. Gittings
Dionysios E. Raitsos
Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
description Lagrangian analysis is becoming increasingly important to better understand the ocean's biological and biogeochemical cycles. Yet, biologists and chemists often lack the technical skills required to set up such analyses. Here, we present a new product of pre-computed ocean Lagrangian trajectories (OLTraj) targeting non-expert users, and demonstrate how to use it by means of worked examples. OLTraj is based on satellite-derived geostrophic currents, which allows one to directly compare it with other in-situ or satellite products. We anticipate that OLTraj will foster a new interest in Lagrangian applications in ocean biology and biogeochemistry.
format article
author Giorgio Dall'Olmo
Francesco Nencioli
Thomas Jackson
Robert J. W. Brewin
John A. Gittings
Dionysios E. Raitsos
author_facet Giorgio Dall'Olmo
Francesco Nencioli
Thomas Jackson
Robert J. W. Brewin
John A. Gittings
Dionysios E. Raitsos
author_sort Giorgio Dall'Olmo
title Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
title_short Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
title_full Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
title_fullStr Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
title_full_unstemmed Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
title_sort ocean lagrangian trajectories (oltraj): lagrangian analysis for non-expert users [version 2; peer review: 2 approved]
publisher F1000 Research Limited
publishDate 2021
url https://doaj.org/article/096849606c534b2ba87aa7fdd4b1de7f
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