Ocean Profile Classification Model in python
pyXpcm is a python package to create and work with ocean Profile Classification Model that consumes and produces Xarray objects. Xarray objects are N-D labeled arrays and datasets in Python. An ocean Profile Classification Model allows to automatically assemble ocean profiles in clusters according t...
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ftdatacite:10.5281/zenodo.3906236 2023-05-15T17:32:49+02:00 Ocean Profile Classification Model in python Maze, Guillaume 2020 https://dx.doi.org/10.5281/zenodo.3906236 https://zenodo.org/record/3906236 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3906235 Open Access GNU General Public License v3.0 or later https://opensource.org/licenses/GPL-3.0 info:eu-repo/semantics/openAccess GPL ocean data argo classification Software SoftwareSourceCode article 2020 ftdatacite https://doi.org/10.5281/zenodo.3906236 https://doi.org/10.5281/zenodo.3906235 2021-11-05T12:55:41Z pyXpcm is a python package to create and work with ocean Profile Classification Model that consumes and produces Xarray objects. Xarray objects are N-D labeled arrays and datasets in Python. An ocean Profile Classification Model allows to automatically assemble ocean profiles in clusters according to their vertical structure similarities. The geospatial properties of these clusters can be used to address a large variety of oceanographic problems: front detection, water mass identification, natural region contouring (gyres, eddies), reference profile selection for QC validation, etc… The vertical structure of these clusters furthermore provides a highly synthetic representation of large ocean areas that can be used for dimensionality reduction and coherent intercomparisons of ocean data (re)-analysis or simulations. Documentation available here: https://pyxpcm.readthedocs.io : {"references": ["Maze G. et al. Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean. Progress in Oceanography (2017). http://dx.doi.org/10.1016/j.pocean.2016.12.008", "Maze, G., et al. Profile Classification Models. Mercator Ocean Journal (2017). http://archimer.ifremer.fr/doc/00387/49816"]} Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ocean data argo classification |
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ocean data argo classification Maze, Guillaume Ocean Profile Classification Model in python |
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ocean data argo classification |
description |
pyXpcm is a python package to create and work with ocean Profile Classification Model that consumes and produces Xarray objects. Xarray objects are N-D labeled arrays and datasets in Python. An ocean Profile Classification Model allows to automatically assemble ocean profiles in clusters according to their vertical structure similarities. The geospatial properties of these clusters can be used to address a large variety of oceanographic problems: front detection, water mass identification, natural region contouring (gyres, eddies), reference profile selection for QC validation, etc… The vertical structure of these clusters furthermore provides a highly synthetic representation of large ocean areas that can be used for dimensionality reduction and coherent intercomparisons of ocean data (re)-analysis or simulations. Documentation available here: https://pyxpcm.readthedocs.io : {"references": ["Maze G. et al. Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean. Progress in Oceanography (2017). http://dx.doi.org/10.1016/j.pocean.2016.12.008", "Maze, G., et al. Profile Classification Models. Mercator Ocean Journal (2017). http://archimer.ifremer.fr/doc/00387/49816"]} |
format |
Article in Journal/Newspaper |
author |
Maze, Guillaume |
author_facet |
Maze, Guillaume |
author_sort |
Maze, Guillaume |
title |
Ocean Profile Classification Model in python |
title_short |
Ocean Profile Classification Model in python |
title_full |
Ocean Profile Classification Model in python |
title_fullStr |
Ocean Profile Classification Model in python |
title_full_unstemmed |
Ocean Profile Classification Model in python |
title_sort |
ocean profile classification model in python |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.3906236 https://zenodo.org/record/3906236 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://dx.doi.org/10.5281/zenodo.3906235 |
op_rights |
Open Access GNU General Public License v3.0 or later https://opensource.org/licenses/GPL-3.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
GPL |
op_doi |
https://doi.org/10.5281/zenodo.3906236 https://doi.org/10.5281/zenodo.3906235 |
_version_ |
1766131109765054464 |