The continuously updated version of Copernicus Argo floats realtime currents product is distributed from Copernicus Marine catalogue: - https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=INSITU_GLO_UV_NRT_OBSERVATIONS_013_048 The Argo current product generated by Copernicus in situ TAC is derived from the original trajectory data from Argo GDAC (Global Data Assembly Center) available at: - Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. https://doi.org/10.17882/42182 In 2021, the GDAC distributes data from more than 15,000 Argo floats. Deep ocean current is calculated from floats drift at parking depth, surface current is calculated from float surface drift. An Argo float drifts freely in the global ocean, performing regular observation cycles. An observation cycle usually spreads over 10 days :  - a surface descent to a parking depth (generally 1500 meters deep) - a 10-day drift at this parking depth - an ascent to the surface (vertical profile) - A short surface drift for data transmission The data transmitted at each cycle contain temperature, salinity observations (and additional biogeochemical parameters if applicable), positions (gps or argos), technical data. The ocean current product contains a NetCDF file for each Argo float. It is updated daily in real time by automated processes. For each cycle it contains the surface and deep current variables: - Date (time, time_qc) - Position  (latitude, longitude, position_qc) - Pressure (pres, pres_qc, representative_park_pressure for parking drift, 0 decibar for surface drift) - Current (ewct, ewct_qc, nsct, nsct_qc; the current vector is positioned and dated at the last position of the N-1 cycle) - Duration (days) of the current variable sampling (time_interval) - Grounded indicator - Positions and dates have a QC 1 (good data). Positions and dates that do not have a QC 1 are ignored. The positions are measured during the surface drift (Argos or GPS positioning). For the deep current of cycle N, we take the last good position of cycle N-1 and the first good position of cycle N. For the surface current of cycle N, we take the first and last good position of the N cycle.  

A world deep displacement dataset comprising more than 1600 000 Argo floats deep displacements, has been produced from the global Argo float database (GDAC). ANDRO dataset was completed over the period 2000-2009, then was partially but yearly updated since 2010. ANDRO actual contents and format is described in the user guide, which must be carefully read before using ANDRO (ANDRO format is also described in Ollitrault M. et al (2013)). One important feature of ANDRO is that the pressures measured during float drifts at depth, and suitably averaged are preserved in ANDRO (see Figure 2). To reach this goal, it was necessary to reprocess most of the Argo raw data, because of the many different decoding versions (roughly 100) not always applied by the DACs to the displacement data because they were mainly interested in the p,t,S profiles. The result of our work was the production of comprehensive files, named DEP (for déplacements in French), containing all the possibly retrievable float data. For detailed information and status of the last released ANDRO product, please visit the dedicated Argo France web page: https://www.umr-lops.fr/SNO-Argo/Products/ANDRO-Argo-floats-displacements-Atlas

The RAFOS float technique (the reverse acronym of SOund Fixing And Ranging) is used to obtain sub-surface trajectories of floats by acoustic location. These floats are immersed at a constant depth and drift with the body of water in which they are immersed. The floats record the arrival time of the sound signals emitted by a network of fixed acoustic sources placed on moorings. They regularly come to the surface to transmit the data that they have recorded.

Eddies detected in Delayed-Time (DT) for the entire period [1993 - present]. Variables provided include day-by-day, and for one rotation type (Cyclonic/Anticyclonic) : - Center position (Longitude and latitude of the center of the best fit circle with the contour of maximum circum-average geostrophic speed); - Amplitude (|SSH(local_extremum) – SSH(outermost_contour)|); - Speed radius (Radius of the best fit circle with the contour of maximum circum-average geostrophic speed); - Speed average (Average geostrophic speed of the contour defining the speed radius); - Speed profile (Profile speed average values from effective contour inwards to smallest inner contour); - Effective contour (Largest contour of the detected eddy); - Speed contour (Contour of maximum circum-average geostrophic speed for the detected eddy).

A world deep displacement dataset, named ANDRO, after a traditional dance of Brittany meaning a swirl, comprising more than 1300 000 deep displacements, has been produced from the Argo float trajectory data ('traj' files). ANDRO dataset was completed over the period 2000-2009, then was partially but yearly updated since 2010. For detailed information and status of the last released ANDRO product, please visit the dedicated Argo France web page: https://www.umr-lops.fr/SNO-Argo/Products/ANDRO-Argo-floats-displacements-Atlas One important feature of ANDRO is that the pressures measured during float drifts at depth, and suitably averaged are preserved in ANDRO. To reach this goal, it was necessary to reprocess most of the Argo raw data, because of the many different decoding versions (roughly 100) not always applied by the DACs to the displacement data because they were mainly interested in the p,t,S profiles. The result of our work was the production of comprehensive files, named DEP (for 'déplacement' in French), containing all the possibly retrievable float data.

Argo est un programme international qui coordonne la collecte des paramètres dans l’océan intérieur à l'aide d'une flotte d'instruments robotisés. Ces instruments, les flotteurs profileurs, dérivent avec les courants océaniques et se déplacent à la verticale entre la surface et 2000m, 4000m ou le fond des océans. Les données recueillies par Argo décrivent la température et la salinité de l'eau et certains flotteurs mesurent d'autres propriétés qui décrivent la biologie/chimie de l'océan. La principale raison de la collecte de ces données est de mieux comprendre le rôle des océans dans le climat de la Terre et d'être ainsi en mesure d'améliorer les estimations de son évolution future. Le SNO (Service National d'Observation) Argo-France assure le pilotage scientifique d'Argo France. Le SNO Argo-France, rattaché à l'OSU IUEM (Observatoire de l'Institut Universitaire Européen de la Mer, est piloté par le Laboratoire d'Océanographie Physique et Spatiale (LOPS, Brest, France) et le Laboratoire d'Océanographie de Villefranche - Institut Marin de l'Environnement de Villefranche (LOV-IMEV, Villefranche-sur-mer , France). Il est labellisé par le CNRS/INSU depuis 2011 pour soutenir et organiser les activités Argo France et fournir des données de haute qualité. Argo France réunit l’ensemble des contributions françaises au programme international Argo, c’est à dire les activités de coordination scientifique et technique, achat et déploiement de flotteurs, traitement des données et interfaces avec la communauté utilisatrice (océanographie opérationnelle avec Mercator Ocean et recherche). Outre le traitement de ses propres flotteurs, la France assure des fonctions importantes de traitement de données pour ses partenaires européens et internationaux (centre de données Coriolis). Argo-France

This dataset contains bio-optical measurements and environmental parameters associated with  Deep Chlorophyll Maxima acquired by BGC-Argo profiling floats and matched with mesoscale eddies location from the Ocean Eddy Detection and Tracking Algorithms (TOEeddies) Atlas. For each BGC-Argo profile the data files includes the World Meteorological Organistion (WMO) and profile numbers, geographical position (LON and LAT), the date of the profile in Julian Day (JULD); the qualification of the vertical profile (CARAC_BIO) as Deep Biomass Maximum (DBM), Deep photoAcclimation Maximum (DAM), or presenting no DCM (NO); at the depth of the maximum (DCM_DEPTH), the chlorophyll a concentration (CHLA_DCM, mg chla m-3 ) and the backscattering coefficient (BBP_DCM, m-1); the Mixed Layer Depth (MLD, m), the nitracline depth (NCLINE, m), the mean daily Available PAR in the Mixed Layer Depth (MIPAR_MLD, E m -1 d -1), the daily Available PAR at the nitracline depth (IPAR_NCLINE, E m-2 d-1); the location of the profile (CARAC_EDDY) as being inside the core/periphery (IN/_EN) of a cyclonic/anticyclonic eddy (DEP_/P_), or outside eddy influence (OUT); the processing level (MODE) of the ADT maps used for the TOEddies detection, either Near Real Time (-1), or Delayed Mode (1). The qualification and processing of the BGC-Argo profiles, as well as the DCM detection (DAM/DBM/NO) and the estimation of the environmental parameters, were applied as described from Cornec, M., Claustre, H., Mignot, A., Guidi, L., Lacour, L., Poteau, A., D'Ortenzio, F., Gentili, B., Schmechtig, C.  (2021). Deep chlorophyll maxima in the global ocean: Occurrences, drivers and characteristics. Global Biogeochem Cycles 35. https://doi.org/10.1029/2020GB006759 Data relative to mesoscale eddies were produced by processing daily 0.25°x0.25° AVISO Absolute Dynamical Topography (maps produced by Ssalto/Duacs and distributed by Copernicus-Marine Environment Services) with the TOEddies algorithm (Laxenaire, R., Speich, S., Blanke, B., Chaigneau, A., Pegliasco, C., & Stegner, A. (2018). Anticyclonic Eddies Connecting the Western Boundaries of Indian and Atlantic Oceans. Journal of Geophysical Research: Oceans, 123(11), 7651–7677. https://doi.org/10.1029/2018JC014270)

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

The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. ISAS is based on Optimal Interpolation method. Since the first global re-analysis performed in 2009, the system has been extended to accommodate all types of vertical profile as well as time series. ISAS gridded fields are entirely based on in-situ measurements. The system aims at monitoring the time evolution of ocean properties for climatic studies and allowing easy computation of climate indices. Delayed Mode (D) profiles are used a much as possible and extra visual check is carried out. The ISAS procedure and products are described in Gaillard et al. (2016). The present DOI provides both analyzed fields and standardized profiles data used in interpolation. ISAS provide now also gridded fields of dissolved oxgyen from BGC Argo floats.   HISTORY   ISAS20_ARGO_*_DOXY: The ISAS20_ARGO_*_DOXY release is BGC Argo DOXY variable interpolated on 187 standard depth levels between 0-5500 m depth and 0.5°x0.5° global horizontal grid. ISAS20 use the version 8 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology and annual STD computed from WOA18A5B7). ISAS20 gridded fields analyze yearly mean of the Argo dissolved oxygen data over 3 periods : 2009-2018, 2009-2013, and 2014-2018.   ISAS20_ARGO: The ISAS20_ARGO release is interpolated on 187 standard depth levels between 0-5500 m depth and 0.5°x0.5° global horizontal grid. ISAS20 use the version 8 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology and annual STD computed from WOA18A5B7). ISAS20 gridded fields analyze the Argo and Deep-Argo temperature and salinity data alone between 2002-2020.   ISAS17: The ISAS17 release is interpolated on 187 standard depth levels between 0-5500 m depth and 0.5°x0.5° global horizontal grid. ISAS17 use the version 8 of ISAS and updated  statistics to produce the monthly analysis (Monthly Climatology and annual STD computed from WOA18A5D). ISAS17 gridded fields analyze the Argo and Deep-Argo temperature and salinity profiles, and other in situ measurements between 2002-2017 to complete observations, including the higher latitudes (typically poleward of 60°S-N) where Argo sampling is sparse or not existent.   ISAS-SSS : The ISAS-SSS release is interpolated on 4 standard depth levels (1-3-5-10m depth) and 0.5°x0.5° global horizontal grid between 2002-2015. ISAS-SSS use the version 7 of ISAS and updated the statistics to produce the monthly analyses (Monthly Climatology computed from ISAS13 and annual STD computed from Argo dataset). ISAS-SSS gridded fields analyze the Argo  and other in situ salinity data, including TSG from research and ship of opportunity from French SNO-SSS.   ISAS15 : The ISAS15 release is interpolated on 152 standard depth levels between 0-2000 m depth and 0.5°x0.5° global horizontal grid between 2002-2015. ISAS15 use the version 7 of ISAS and updated  statistics to produce the monthly analysis (Monthly Climatology computed from ISAS13 and annual STD computed from Argo dataset). ISAS15 gridded fields analyze the Argo temperature and salinity data alone in its ISAS15_ARGO configuration; or Argo plus other in situ measurements in its ISAS15 configuration.   ISAS13 : The ISAS13 release is interpolated on 152 standard depth levels between 0-2000 m depth and 0.5°x0.5° global horizontal grid  between 2002-2012. ISAS13 use the version 6 of ISAS and updated statistics to produce the monthly analysis (Monthly Climatology computed from ISAS11 and annual STD computed from Argo dataset). ISAS13 gridded fields analyze the Argo temperature and salinity data and other in situ measurements between 2002-2012.   For detailed information and description of the ISAS products please visit the dedicated Argo France web page: https://www.argo-france.fr/Argo-Data-Products/Argo-France-products  

The In Situ Analysis System (ISAS) has been developed to produce temperature and salinity fields that preserve as far as possible the time and space sampling capabilities of the Argo float network. Since the first global analysis in 2009, the system has been extended to take into account all types of vertical profiles and time series, as well as new parameters such as dissolved oxygen produced by BGC Argo. ISAS gridded fields are based entirely on in situ measurements. The system aims to monitor the evolution of ocean properties as a function of time for climatological studies, and to enable easy calculation of climate indices. Delayed-time processing of the 2002-2020 dataset has been carried out using ISAS-V8 and the updating of a priori statistics. Note that ISAS-V8 has been implemented as an operational analysis tool at the Coriolis data center since June 2020.