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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://dapds00.nci.org.au/thredds/catalogs/ks32/CLEXhtml NCI thredds catalogue&rft.title=TrackEddy v1.0 output of identified eddies from the AVISO+ satellite altimetry (1993-2020) v2.0&rft.identifier=tba&rft.publisher=CLEX&rft.description=This dataset is a collection of globally identified coherent eddies from the AVISO+ dataset covering the period 1993 to 2020. This is version 2.0 that extends v1.0 from 2017 to 2020. This dataset was produced with the eddy identification and tracking algorithm TrackEddy (https://github.com/josuemtzmo/trackeddy), which identifies, tracks and reconstructs the Gaussian perturbation of each coherent eddy-like feature in the ocean. The input data is the satellite altimeter product produced by Ssalto/Duacs and distributed by AVISO, with support from CNES (https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html) The TrackEddy algorithm uses Sea Surface Height to identify eddies based on their geometrical structure and represents them as Gaussians through an optimal Gaussian fitting. With this output, the end-user could reconstruct the coherent eddy-like field for the full satellite altimetry period. The software used to develop the algorithm and produce-analyse the data is python based, the output is saved as NetCDF files. The data can be reproduced at any current time using the frozen version of the TrackEddy algorithm. TrackEddy has a set of unit tests dedicated to ensuring the reproducibility of results. This dataset is an output of the research program Climate variability and teleconnections of the Centre of Excellence for Climate Extremes (CLEX)&rft.creator=Dr Jules Kajtar&rft.date=2019&rft.coverage=-180,-90 180,-90 180,90 -180,90 -180,-90&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=Creative Commons - Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode&rft_subject=Physical Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft_subject=Anisotropic Eddies&rft_subject=Eddy tracking&rft_subject=Coherent eddies&rft.type=dataset&rft.language=English Access the data

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Creative Commons - Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/legalcode

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

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Full description

This dataset is a collection of globally identified coherent eddies from the AVISO+ dataset covering the period 1993 to 2020. This is version 2.0 that extends v1.0 from 2017 to 2020.

This dataset was produced with the eddy identification and tracking algorithm "TrackEddy" (https://github.com/josuemtzmo/trackeddy), which identifies, tracks and reconstructs the Gaussian perturbation of each coherent eddy-like feature in the ocean.

The input data is the satellite altimeter product produced by Ssalto/Duacs and distributed by AVISO, with support from CNES (https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html)

The TrackEddy algorithm uses Sea Surface Height to identify eddies based on their geometrical structure and represents them as Gaussians through an optimal Gaussian fitting. With this output, the end-user could reconstruct the coherent eddy-like field for the full satellite altimetry period.

The software used to develop the algorithm and produce-analyse the data is python based, the output is saved as NetCDF files. The data can be reproduced at any current time using the frozen version of the TrackEddy algorithm. TrackEddy has a set of unit tests dedicated to ensuring the reproducibility of results.

This dataset is an output of the research program Climate variability and teleconnections of the Centre of Excellence for Climate Extremes (CLEX)

Created: 2019-08-01

Data time period: 1993-01-01 to 2020-06-31

-180,-90 0,-90 180,-90 180,90 0,90 -180,90 -180,-90

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  • Local : tba