seanoe:47106 MAZE Guillaume Ifremer, France 2025-10-28 ISO 19115:2003/19139 1.0 A Profile Classification Model from North-Atlantic Argo temperature data 2017 2025-10-28 Maze Guillaume (2017). A Profile Classification Model from North-Atlantic Argo temperature data. SEANOE. https://doi.org/10.17882/47106 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 Herlé Mercier, Ronan Fablet, Pierre Tandéo, Manuel Lopez Radcenco, Philippe Lenca, Charlène Feucher, Clément Le Goff MAZE Guillaume Ifremer, France SEANOE https://www.seanoe.org/data/00360/47106/illustration.gif Argo PCM typical profiles in the vertical axis (inset) and horizontal plan (map) heat content classification North Atlantic stratification water mass argo profile pattern Physical oceanography Sea temperature ODATIS aggregation parameters and Essential Variable names 2025-07-29 geonetwork.thesaurus.external.theme.NVS.OD1 Physical oceanography SeaDataNet Parameter Disciplines 2025-07-29 geonetwork.thesaurus.external.parameter.NVS.P08 IR-ARGO Research Infrastructure 2024-07-26 geonetwork.thesaurus.local.theme.IR SNO-ARGO France National Services Observation 2025-07-21 geonetwork.thesaurus.local.theme.SNO Analysis data Type de jeux de donnée ODATIS 2024-10-15 geonetwork.thesaurus.local.theme.type_jeux_donnee CC-BY (Creative Commons - Attribution) Labellisation Service National d'Observation Argo France (INSU/CNRS) 2025-2029 2024 SNO Argo-France Kolodziejczyk Nicolas Cabanes Cecile Claustre Hervé D'Ortenzio Fabrizio Leymarie Edouard Maze Guillaume Poteau Antoine Schmechtig Catherine Sauzède R Poffa Noe Thierry Virginie Uitz J. 10.13155/61055 Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean 2017 Elsevier MAZE GUILLAUME MERCIER HERLE FABLET RONAN TANDEO PIERRE LOPEZ RADCENCO MANUEL LENCA PHILIPPE FEUCHER CHARLENE LE GOFF CLEMENT 10.1016/j.pocean.2016.12.008 Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) 2025 SEANOE Argo 10.17882/42182 oceans -80.0 0.0 0.0 70.0 NC, NETCDF https://www.seanoe.org/data/00360/47106/data/47067.nc WWW:DOWNLOAD-1.0-link--download Processed data Profile Classification Model - 56 KB https://www.seanoe.org/data/00360/47106/data/47068.nc WWW:DOWNLOAD-1.0-link--download Processed data Classification results - 16 MB http://www.ifremer.fr/erddap/tabledap/PCM-Argo.html WWW:LINK Get the data via ERDDAP https://doi.org/10.17882/47106 WWW:LINK-1.0-http--metadata-URL DOI of the product https://www.seanoe.org/data/00360/47106/ rel-canonical Seanoe