The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data.
The dataset has global coverage and spans 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information.
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Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://creativecommons.org/licenses/by/4.0/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced by the NCEO Plymouth Marine Laboratory project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Validated by Plymouth Marine Laboratory Science Team
NCEO OLTraj V2.0
The trajectories were generated starting from zonal and meridional model velocity fields from the AVISO project; please see the Global ocean gridded L4 sea surface heights and derived variables reprocessed reference in the documentation section for more details on the dataset. The output of which was integrated using the LAMTA package (6-hour time step) as previously described in Nencioli et al., 2018 (also available in the documentation section).
- var_id: lat
- var_id: lon
- var_id: time
- var_id: trajlat
- var_id: trajlon