Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data
A large-scale tool for systematic analyses of the dispersal and turbulent properties of ocean currents and the subsequent separation of dynamical regimes according to the prevailing trajectories taxonomy in a certain area was proposed by Rupolo. In the present study, this methodology has been extend...
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ftenea:oai:iris.enea.it:20.500.12079/963 2024-04-21T08:11:27+00:00 Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data Ruti, P.M Nilsson, J.A.U. Ruti, P. M Nilsson, J. A. U. 2013 https://hdl.handle.net/20.500.12079/963 https://doi.org/10.1175/JPO-D-12-0193.1 http://www.scopus.com/inward/record.url?eid=2-s2.0-84888065204&partnerID=40&md5=504f7edfef9aa7b219fea28e2d5bf498 en eng volume:43 issue:11 numberofpages:2249 - 2269 journal:JOURNAL OF PHYSICAL OCEANOGRAPHY http://hdl.handle.net/20.500.12079/963 doi:10.1175/JPO-D-12-0193.1 info:eu-repo/semantics/altIdentifier/scopus/Scopus ID: 2-s2.0-84888065204 http://www.scopus.com/inward/record.url?eid=2-s2.0-84888065204&partnerID=40&md5=504f7edfef9aa7b219fea28e2d5bf498 Buoy observation Dispersion Lagrangian circulation/transport Model evaluation/performance Spectral analysis/models/distribution Turbulence info:eu-repo/semantics/article 2013 ftenea https://doi.org/20.500.12079/96310.1175/JPO-D-12-0193.1 2024-03-27T15:05:15Z A large-scale tool for systematic analyses of the dispersal and turbulent properties of ocean currents and the subsequent separation of dynamical regimes according to the prevailing trajectories taxonomy in a certain area was proposed by Rupolo. In the present study, this methodology has been extended to the analysis of model trajectories obtained by analytical computations of the particle advection equation using the Lagrangian opensource software package Tracing the WaterMasses of the NorthAtlantic and theMediterranean(TRACMASS), and intercomparisons have been made between the surface velocity fields from three different configurations of the global Nucleus for European Modelling of the Ocean (NEMO) ocean/sea ice general circulation model. Lagrangian time scales of the observed and synthetic trajectory datasets have been calculated by means of inverse Lagrangian stochastic modeling, and the influence of the model field spatial and temporal resolution on the analyses has been investigated. In global-scale ocean modeling, compromises are frequently made in terms of grid resolution and time averaging of the output fields because high-resolution data require considerable amounts of storage space. Here, the implications of such approximations on the modeled velocity fields and, consequently, on the particle dispersion, have been assessed through validation against observed drifter tracks. This study aims, moreover, to shed some light on the relatively unknown turbulent properties of near-surface ocean dynamics and their representation in numerical models globally and in a number of key regions. These results could be of interest for other studies within the field of turbulent eddy diffusion parameterization in ocean models or ocean circulation studies involving long-term coarse-grid model experiments. © 2013 American Meteorological Society. Article in Journal/Newspaper Sea ice ENEA-IRIS Open Archive (Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile) Journal of Physical Oceanography 43 11 2249 2269 |
institution |
Open Polar |
collection |
ENEA-IRIS Open Archive (Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile) |
op_collection_id |
ftenea |
language |
English |
topic |
Buoy observation Dispersion Lagrangian circulation/transport Model evaluation/performance Spectral analysis/models/distribution Turbulence |
spellingShingle |
Buoy observation Dispersion Lagrangian circulation/transport Model evaluation/performance Spectral analysis/models/distribution Turbulence Ruti, P.M Nilsson, J.A.U. Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
topic_facet |
Buoy observation Dispersion Lagrangian circulation/transport Model evaluation/performance Spectral analysis/models/distribution Turbulence |
description |
A large-scale tool for systematic analyses of the dispersal and turbulent properties of ocean currents and the subsequent separation of dynamical regimes according to the prevailing trajectories taxonomy in a certain area was proposed by Rupolo. In the present study, this methodology has been extended to the analysis of model trajectories obtained by analytical computations of the particle advection equation using the Lagrangian opensource software package Tracing the WaterMasses of the NorthAtlantic and theMediterranean(TRACMASS), and intercomparisons have been made between the surface velocity fields from three different configurations of the global Nucleus for European Modelling of the Ocean (NEMO) ocean/sea ice general circulation model. Lagrangian time scales of the observed and synthetic trajectory datasets have been calculated by means of inverse Lagrangian stochastic modeling, and the influence of the model field spatial and temporal resolution on the analyses has been investigated. In global-scale ocean modeling, compromises are frequently made in terms of grid resolution and time averaging of the output fields because high-resolution data require considerable amounts of storage space. Here, the implications of such approximations on the modeled velocity fields and, consequently, on the particle dispersion, have been assessed through validation against observed drifter tracks. This study aims, moreover, to shed some light on the relatively unknown turbulent properties of near-surface ocean dynamics and their representation in numerical models globally and in a number of key regions. These results could be of interest for other studies within the field of turbulent eddy diffusion parameterization in ocean models or ocean circulation studies involving long-term coarse-grid model experiments. © 2013 American Meteorological Society. |
author2 |
Ruti, P. M Nilsson, J. A. U. |
format |
Article in Journal/Newspaper |
author |
Ruti, P.M Nilsson, J.A.U. |
author_facet |
Ruti, P.M Nilsson, J.A.U. |
author_sort |
Ruti, P.M |
title |
Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
title_short |
Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
title_full |
Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
title_fullStr |
Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
title_full_unstemmed |
Observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
title_sort |
observed and modeled global ocean turbulence regimes as deduced from surface trajectory data |
publishDate |
2013 |
url |
https://hdl.handle.net/20.500.12079/963 https://doi.org/10.1175/JPO-D-12-0193.1 http://www.scopus.com/inward/record.url?eid=2-s2.0-84888065204&partnerID=40&md5=504f7edfef9aa7b219fea28e2d5bf498 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
volume:43 issue:11 numberofpages:2249 - 2269 journal:JOURNAL OF PHYSICAL OCEANOGRAPHY http://hdl.handle.net/20.500.12079/963 doi:10.1175/JPO-D-12-0193.1 info:eu-repo/semantics/altIdentifier/scopus/Scopus ID: 2-s2.0-84888065204 http://www.scopus.com/inward/record.url?eid=2-s2.0-84888065204&partnerID=40&md5=504f7edfef9aa7b219fea28e2d5bf498 |
op_doi |
https://doi.org/20.500.12079/96310.1175/JPO-D-12-0193.1 |
container_title |
Journal of Physical Oceanography |
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43 |
container_issue |
11 |
container_start_page |
2249 |
op_container_end_page |
2269 |
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