A Profile Classification Model from North-Atlantic Argo temperature data
A quantitative understanding of the integrated ocean heat content depends on our ability to determine how heat is distributed in the ocean and what are the associated coherent patterns. This dataset contains the results of the Maze et al., 2017 (Prog. Oce.) study demonstrating how this can be achiev...
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ftseanoe:oai:seanoe.org:47106 2023-05-15T17:27:30+02:00 A Profile Classification Model from North-Atlantic Argo temperature data Maze, Guillaume North 70.0, South 0.0, East 0.0, West -80.0 2017 https://doi.org/10.17882/47106 unknown SEANOE doi:10.17882/47106 http://dx.doi.org/10.17882/47106 CC-BY CC-BY heat content classification North Atlantic stratification water mass argo profile pattern dataset 2017 ftseanoe https://doi.org/10.17882/47106 2021-12-09T18:22:30Z A quantitative understanding of the integrated ocean heat content depends on our ability to determine how heat is distributed in the ocean and what are the associated coherent patterns. This dataset contains the results of the Maze et al., 2017 (Prog. Oce.) study demonstrating how this can be achieved using unsupervised classification of Argo temperature profiles. The dataset contains: - A netcdf file with classification~results (labels and probabilities) and coordinates (lat/lon/time) of 100,684 Argo temperature profiles in North Atlantic. - A netcdf file with a Profile Classification Model (PCM) that can be used to classify new temperature profiles from observations or numerical models. The classification method used is a Gaussian Mixture Model that decomposes the Probability Density Function of the dataset into a weighted sum of Gaussian modes. North Atlantic Argo temperature profiles between 0 and 1400m depth were interpolated onto a regular 5m grid, then compressed using Principal Component Analysis and finally classified using a Gaussian Mixture Model. To use the netcdf PCM file to classify new data, you can checkout our PCM Matlab and Python toolbox here: https://github.com/obidam/pcm Dataset North Atlantic SEANOE (Sea scientific open data publication) |
institution |
Open Polar |
collection |
SEANOE (Sea scientific open data publication) |
op_collection_id |
ftseanoe |
language |
unknown |
topic |
heat content classification North Atlantic stratification water mass argo profile pattern |
spellingShingle |
heat content classification North Atlantic stratification water mass argo profile pattern Maze, Guillaume A Profile Classification Model from North-Atlantic Argo temperature data |
topic_facet |
heat content classification North Atlantic stratification water mass argo profile pattern |
description |
A quantitative understanding of the integrated ocean heat content depends on our ability to determine how heat is distributed in the ocean and what are the associated coherent patterns. This dataset contains the results of the Maze et al., 2017 (Prog. Oce.) study demonstrating how this can be achieved using unsupervised classification of Argo temperature profiles. The dataset contains: - A netcdf file with classification~results (labels and probabilities) and coordinates (lat/lon/time) of 100,684 Argo temperature profiles in North Atlantic. - A netcdf file with a Profile Classification Model (PCM) that can be used to classify new temperature profiles from observations or numerical models. The classification method used is a Gaussian Mixture Model that decomposes the Probability Density Function of the dataset into a weighted sum of Gaussian modes. North Atlantic Argo temperature profiles between 0 and 1400m depth were interpolated onto a regular 5m grid, then compressed using Principal Component Analysis and finally classified using a Gaussian Mixture Model. To use the netcdf PCM file to classify new data, you can checkout our PCM Matlab and Python toolbox here: https://github.com/obidam/pcm |
format |
Dataset |
author |
Maze, Guillaume |
author_facet |
Maze, Guillaume |
author_sort |
Maze, Guillaume |
title |
A Profile Classification Model from North-Atlantic Argo temperature data |
title_short |
A Profile Classification Model from North-Atlantic Argo temperature data |
title_full |
A Profile Classification Model from North-Atlantic Argo temperature data |
title_fullStr |
A Profile Classification Model from North-Atlantic Argo temperature data |
title_full_unstemmed |
A Profile Classification Model from North-Atlantic Argo temperature data |
title_sort |
profile classification model from north-atlantic argo temperature data |
publisher |
SEANOE |
publishDate |
2017 |
url |
https://doi.org/10.17882/47106 |
op_coverage |
North 70.0, South 0.0, East 0.0, West -80.0 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
doi:10.17882/47106 http://dx.doi.org/10.17882/47106 |
op_rights |
CC-BY |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.17882/47106 |
_version_ |
1766119641335201792 |