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Registros recuperados: 53
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Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats ArchiMer
Wong, Annie P. S.; Wijffels, Susan E.; Riser, Stephen C.; Pouliquen, Sylvie; Hosoda, Shigeki; Roemmich, Dean; Gilson, John; Johnson, Gregory C.; Martini, Kim; Murphy, David J.; Scanderbeg, Megan; Bhaskar, T. V. S. Udaya; Buck, Justin J. H.; Merceur, Frederic; Carval, Thierry; Maze, Guillaume; Cabanes, Cécile; André, Xavier; Poffa, Noe; Yashayaev, Igor; Barker, Paul M.; Guinehut, Stéphanie; Belbéoch, Mathieu; Ignaszewski, Mark; Baringer, Molly O'Neil; Schmid, Claudia; Lyman, John M.; Mctaggart, Kristene E.; Purkey, Sarah G.; Zilberman, Nathalie; Alkire, Matthew B.; Swift, Dana; Owens, W. Brechner; Jayne, Steven R.; Hersh, Cora; Robbins, Pelle; West-mack, Deb; Bahr, Frank; Yoshida, Sachiko; Sutton, Philip J. H.; Cancouët, Romain; Coatanoan, Christine; Dobbler, Delphine; Juan, Andrea Garcia; Gourrion, Jerome; Kolodziejczyk, Nicolas; Bernard, Vincent; Bourlès, Bernard; Claustre, Hervé; D'Ortenzio, Fabrizio; Le Reste, Serge; Le Traon, Pierre-yves; Rannou, Jean Philippe; Saout-grit, Carole; Speich, Sabrina; Thierry, Virginie; Verbrugge, Nathalie; Angel-benavides, Ingrid M.; Klein, Birgit; Notarstefano, Giulio; Poulain, Pierre-marie; Vélez-belchí, Pedro; Suga, Toshio; Ando, Kentaro; Iwasaska, Naoto; Kobayashi, Taiyo; Masuda, Shuhei; Oka, Eitarou; Sato, Kanako; Nakamura, Tomoaki; Sato, Katsunari; Takatsuki, Yasushi; Yoshida, Takashi; Cowley, Rebecca; Lovell, Jenny L.; Oke, Peter R.; Van Wijk, Esmee M.; Carse, Fiona; Donnelly, Matthew; Gould, W. John; Gowers, Katie; King, Brian A.; Loch, Stephen G.; Mowat, Mary; Turton, Jon; Rama Rao, E. Pattabhi; Ravichandran, M.; Freeland, Howard J.; Gaboury, Isabelle; Gilbert, Denis; Greenan, Blair J. W.; Ouellet, Mathieu; Ross, Tetjana; Tran, Anh; Dong, Mingmei; Liu, Zenghong; Xu, Jianping; Kang, Kiryong; Jo, Hyeongjun; Kim, Sung-dae; Park, Hyuk-min.
In the past two decades, the Argo Program has collected, processed, and distributed over two million vertical profiles of temperature and salinity from the upper two kilometers of the global ocean. A similar number of subsurface velocity observations near 1,000 dbar have also been collected. This paper recounts the history of the global Argo Program, from its aspiration arising out of the World Ocean Circulation Experiment, to the development and implementation of its instrumentation and telecommunication systems, and the various technical problems encountered. We describe the Argo data system and its quality control procedures, and the gradual changes in the vertical resolution and spatial coverage of Argo data from 1999 to 2019. The accuracies of the...
Tipo: Text Palavras-chave: Global; Ocean; Pressure; Temperature; Salinity; Argo; Profiling; Floats.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00652/76377/77385.pdf
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Argo data management ArchiMer
Carval, Thierry.
Tipo: Text
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/acte-6149.pdf
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Argo data management report 2014. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine; Cabanes, Cecile.
This report covers the activity of Coriolis data centre for a one year period from October 1st 2013 to September 30th 2014.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00221/33248/31724.pdf
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Argo data management report 2015. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one year period from October 1st 2014 to September 30th 2015.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00286/39749/38309.pdf
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Argo data management report 2016. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from September 1st 2015 to August 31th 2016.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2016 URL: http://archimer.ifremer.fr/doc/00350/46128/45867.pdf
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Argo data management report 2017. Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from November 1st 2016 to October 31th 2017.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00411/52199/52916.pdf
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Argo data management report 2018, Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine; Cancouet, Romain.
This report covers the activity of Coriolis data centre for a one-year period from November 1st 2017 to October 31th 2018.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00469/58109/60529.pdf
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Argo data management report 2019, Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from July 1st 2018 to August 31th 2019.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00585/69679/67547.pdf
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Argo data management report 2020, Coriolis DAC & GDAC ArchiMer
Carval, Thierry; Coatanoan, Christine.
This report covers the activity of Coriolis data centre for a one-year period from July 1st 2018 to August 31th 2019.
Tipo: Text Palavras-chave: Argo; Argo.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00658/77033/78332.pdf
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Argo data status & data access ArchiMer
Carval, Thierry.
Tipo: Text
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/acte-6150.pdf
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Argo GDAC cookbook ArchiMer
Carval, Thierry; Ignaszewski, Mark.
This document is the Argo GDAC cook-book. It describes the detailed implementation of the GDAC services. It ensures that both GDACs provides the same services. The GDAC is Argo's "Global Data Assembly Centre" which aggregates Argo metadata, profile, trajectory and technical files.
Tipo: Text
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00351/46202/53031.pdf
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Argo Quality Control Manual for CTD and Trajectory Data ArchiMer
Wong, Annie; Keeley, Robert; Carval, Thierry; Argo Data Management Team,.
A CTD (conductivity, temperature, depth) device measures temperature and salinity versus pressure. This document is the Argo quality control manual for CTD and trajectory data. It describes two levels of quality control: - The first level is the real-time system that performs a set of agreed automatic checks. - The second level of quality control is the delayed-mode system. These quality control procedures are applied to the parameters JULD, LATITUDE, LONGITUDE, PRES, TEMP, PSAL, and CNDC.
Tipo: Text
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00228/33951/32470.pdf
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Argo workshop in Ghana, December 2006 ArchiMer
Pouliquen, Sylvie; Thierry, Virginie; Coatanoan, Christine; Gaillard, Fabienne; Poulain, Pm; Carval, Thierry.
Tipo: Text
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/acte-6147.pdf
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Bio-Argo floats : Data management in progress... ArchiMer
Schmechtig, Catherine; Poteau, Antoine; Claustre, Herve; D'Ortenzio, Fabrizio; Buck, Justin; Carval, Thierry.
In the context of the Bio-Argo program, a significant number of "new" biogeochemical variables are now candidate to be delivered through the Argo data stream. These variables are nitrate concentration, dissolved oxygen concentration, Chla concentration, backscattering coefficient, pH and radiometric data. Compared to the core Argo mission (P, T and 5), this diversity of new variable forces the community of biogeochemists to be very careful with respect to data management. Since three years, the community of biogeochemists thus actively participate to Argo data management meetings, in order to develop procedure for biogeochemical data compliant with Argo requirements regarding distribution policy, format, quality assessment and documentation. We illustrate...
Tipo: Text
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00254/36542/35084.pdf
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Case Study: Data Subscriptions Using Elastic Cloud Services ArchiMer
Koulouzis, Spiros; Carval, Thierry; Heikkinen, Jani; Pursula, Antti; Zhao, Zhiming.
To perform data-centric research in environmental and earth sciences, researchers need effectively query, select and access data products from different research infrastructures. When providing observation data continuously, infrastructure is expected to create and deliver customised data products, e.g. for specific geo-regions, time durations or observation parameters, to enhance its ability to serve the research communities. Such kind of services often have time-critical requirements; some tasks need to be carried out within specific time windows when the data products are needed for real-time modelling or simulation frameworks.
Tipo: Text Palavras-chave: Research infrastructure; Data subscription; Cloud computing.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00644/75656/76527.pdf
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Catalogue of data and platforms at Network GDAC level, including the example of Copernicus In Situ TAC ArchiMer
Carval, Thierry.
This document presents catalogue techniques used at network GDAC level to facilitate the discovery of platforms and data files. Some AtlantOS networks are organized as DAC-GDACs that continuously update a catalogue of metadata on observation datasets and platforms: • A DAC is a Data Assembly Centre operating at national or regional scale. It manages data and metadata for its area with a direct link to Scientifics and Operators. The DAC pushes observations to the network GDAC. • A GDAC is a Global Data Assembly Centre. It is designed for a global observation network such as Argo, OceanSITES, DBCP, EGO, Gosud, etc… The GDAC aggregates data and metadata of an observation network, in real-time and delayed mode, provided by DACs.
Tipo: Text
Ano: 2016 URL: http://archimer.ifremer.fr/doc/00339/45063/44466.pdf
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Copernicus Marine In Situ TAC quality information document for near real-time current (QUID INSITU_GLO_UV_NRT_OBSERVATIONS_013_048) ArchiMer
Verbrugge, Nathalie; Etienne, Hélène; Mader, Julien; Corgnati, Lorenzo; Mantovani, Carlos; Reyes, Emma; Rubio, Anna; Carval, Thierry.
The document describes the Quality of the Near Real Time (NRT) WAVES product delivered by the Copenicus Marine In Situ TAC. It applies to the INSITU_GLO_UV_NRT_OBSERVATIONS_013_048 product. It consists of four datasets each dedicated to near-surface currents measurements: - drifter: near-surface zonal and meridional raw velocities measured by drifting buoys, wind & wind stress components, surface temperature if available (see Table 1). These surface observations are part of the DBCP’s Global Drifter Program. - drifter_filt: near-surface zonal and meridional velocities and 3-days filtered velocities measured by drifting buoys. All the platforms are gathered together and concatenated in concatenated daily files. - radar_total: near-surface zonal and...
Tipo: Text
Ano: 2021 URL: https://archimer.ifremer.fr/doc/00631/74324/81514.pdf
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Coriolis, a French project for operational oceanography ArchiMer
Pouliquen, Sylvie; Carval, Thierry; Petit De La Villeon, Loic; Gourmelen, Loic; Gouriou, Yves.
The seven French agencies concerned by ocean research are developing together a strong capability in operational oceanography based on a triad including satellite altimetry (JASON), numerical modelling with assimilation (MERCATOR), and in-situ data (CORIOLIS). The CORIOLIS project aims to build a pre-operational structure to collect, validate and distribute ocean data (temperature/salinity profiles and currents) to the scientific community and modellers. The four goals of CORIOLIS are: • To build up a data management centre, part of the ARGO network for the GODAE experiment, able to provide quality-controlled data in real time and delay modes; • To contribute to ARGO floats deployment mainly in the Atlantic with about 300 floats during the 2001-2005...
Tipo: Text Palavras-chave: In-Situ; Operational Oceanography; Argo; Data Exchange; Mersea.
Ano: 2005 URL: http://archimer.ifremer.fr/doc/00059/17004/14507.pdf
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Coriolis : contribution au rapport CNES/INSU observation de la terre ArchiMer
Pouliquen, Sylvie; Carval, Thierry; Petit De La Villeon, Loic.
CORIOLIS a démarré en tant que projet pilote en 2001 avec pour mission d’acquérir à partir de flotteurs profilant Argo et de navires de recherche des données in-situ nécessaires à l’océanographie opérationnelle physique et la recherche sur le climat, de les traiter, de la qualifier et de les distribuer à Mercator et à la communauté de recherche française en temps réel (<48heures de l’acquisition) les données.
Tipo: Text
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00063/17406/14912.pdf
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Coriolis data centre. Annual report 2014 ArchiMer
Carval, Thierry; Bernard, Vincent; Bonnat, Armel; Coatanoan, Christine; Detoc, Jerome; Gatti, Julie; Maronny, Jean-paul; Petit De La Villeon, Loic.
Tipo: Text
Ano: 2015 URL: http://archimer.ifremer.fr/doc/00244/35573/34103.pdf
Registros recuperados: 53
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