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Registros recuperados: 53 | |
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Dañobeitia, Juan Jose; Pouliquen, Sylvie; Johannessen, Truls; Basset, Alberto; Cannat, Mathilde; Pfeil, Benjamin Gerrit; Fredella, Maria Incoronata; Materia, Paola; Gourcuff, Claire; Magnifico, Giuseppe; Delory, Eric; Del Rio Fernandez, Joaquin; Rodero, Ivan; Beranzoli, Laura; Nardello, Ilaria; Iudicone, Daniele; Carval, Thierry; Gonzalez Aranda, Juan M.; Petihakis, George; Blandin, Jerome; Kutsch, Werner Leo; Rintala, Janne-markus; Gates, Andrew R.; Favali, Paolo. |
Research Infrastructures (RIs) are large-scale facilities encompassing instruments, resources, data and services used by the scientific community to conduct high-level research in their respective fields. The development and integration of marine environmental RIs as European Research Vessel Operators [ERVO] (2020) is the response of the European Commission (EC) to global marine challenges through research, technological development and innovation. These infrastructures (EMSO ERIC, Euro-Argo ERIC, ICOS-ERIC Marine, LifeWatch ERIC, and EMBRC-ERIC) include specialized vessels, fixed-point monitoring systems, Lagrangian floats, test facilities, genomics observatories, bio-sensing, and Virtual Research Environments (VREs), among others. Marine ecosystems are... |
Tipo: Text |
Palavras-chave: European marine Research Infrastructures (RIs); Multi- and inter-disciplinary ocean observing systems; Global change; Geo-hazards; Marine ecosystem. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00622/73460/72700.pdf |
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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. |
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Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00228/33951/32470.pdf |
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Koulouzis, Spiros; Martin, Paul; Zhou, Huan; Hu, Yang; Wang, Junchao; Carval, Thierry; Grenier, Baptiste; Heikkinen, Jani; De Laat, Cees; Zhao, Zhiming. |
The increasing volume of data being produced, curated, and made available by research infrastructures in the environmental science domain require services that are able to optimize the delivery and staging of data for researchers and other users of scientific data. Specialized data services for managing data life cycle, for creating and delivering data products, and for customized data processing and analysis all play a crucial role in how these research infrastructures serve their communities, and many of these activities are time-critical-needing to be carried out frequently within specific time windows. We describe our experiences identifying the time-critical requirements of environmental scientists making use of computational research support... |
Tipo: Text |
Palavras-chave: Dynamic Real-Time Infrastructure Planner; E-infrastructure; Research infrastructure; Time-critical services; Virtual research environment. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00643/75557/76479.pdf |
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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... |
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Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00254/36542/35084.pdf |
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Legrand, Julien; Blandin, Jerome; Sarradin, Pierre-marie; Cannat, Mathilde; Coail, Jean-yves; Pichavant, Pascal; Guyader, Gerard; Lanteri, Nadine; Carval, Thierry; Momarsat Team,. |
Since 2010, the EMSO Azores non-cabled deep sea observatory acquires scientific data on the Lucky Strike vent field on the mid Atlantic ridge. This paper presents the marine infrastructure of EMSO Azores observatory needed to acquire and transmit data in near real time 24/day during six years. It details technical results obtained during this period. |
Tipo: Text |
Palavras-chave: Non-cabled observatory; Near real-time; COSTOF; EMSO; Long-term subsea monitoring. |
Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00366/47766/47816.pdf |
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Cabanes, Cecile; Grouazel, Antoine; Von Schuckmann, Karina; Hamon, Michel; Turpin, Victor; Coatanoan, Christine; Paris, Francois; Guinehut, Stephanie; Boone, C.; Ferry, N.; De Boyer Montegut, Clement; Carval, Thierry; Reverdin, Gilles; Pouliquen, Sylvie; Le Traon, Pierre-yves. |
The French program Coriolis, as part of the French operational oceanographic system, produces the COriolis dataset for Re-Analysis (CORA) on a yearly basis. This dataset contains in-situ temperature and salinity profiles from different data types. The latest release CORA3 covers the period 1990 to 2010. Several tests have been developed to ensure a homogeneous quality control of the dataset and to meet the requirements of the physical ocean reanalysis activities (assimilation and validation). Improved tests include some simple tests based on comparison with climatology and a model background check based on a global ocean reanalysis. Visual quality control is performed on all suspicious temperature and salinity profiles identified by the tests, and quality... |
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Ano: 2013 |
URL: http://archimer.ifremer.fr/doc/00117/22799/20606.pdf |
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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... |
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Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00631/74324/81514.pdf |
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Carval, Thierry; Manzano Muñoz, Fernando. |
Copernicus is a European system for monitoring the Earth. COPERNICUS-CMEMS products and services are meant to serve all marine applications: Marine resources, Maritime safety, Coastal and Marine Environment, Seasonal Forecast & Climate. The service is ambitious as the ocean is complex and many processes are involved, from physical oceanography, biology, geology, ocean-atmosphere fluxes, solar radiations, moon induced tides, anthropic activity. A multi-platform approach is essential, taking into account sea-level stations, coastal buoys, HF radars, river flows, drifting buoys, sea-mammal or fishes fitted with sensors, vessels, gliders, floats. |
Tipo: Text |
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Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00353/46410/46137.pdf |
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Maze, Guillaume; Cabanes, Cecile; Carval, Thierry; Claustre, Hervé; Coatanoan, Christine; D'Ortenzio, Fabrizio; Kolodziejczyk, Nicolas; Lebreton, Nathanaele; Le Reste, Serge; Le Traon, Pierre-yves; Poteau, Antoine; Poffa, Noe; Pouliquen, Sylvie; Schmechtig, Catherine; Thierry, Virginie. |
Tipo: Text |
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Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00484/59523/62497.pdf |
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Tanhua, Toste; Pouliquen, Sylvie; Hausman, Jessica; O’brien, Kevin; Bricher, Pip; De Bruin, Taco; Buck, Justin J. H.; Burger, Eugene F.; Carval, Thierry; Casey, Kenneth S.; Diggs, Steve; Giorgetti, Alessandra; Glaves, Helen; Harscoat, Valerie; Kinkade, Danie; Muelbert, Jose H.; Novellino, Antonio; Pfeil, Benjamin; Pulsifer, Peter L.; Van De Putte, Anton; Robinson, Erin; Schaap, Dick; Smirnov, Alexander; Smith, Neville; Snowden, Derrick; Spears, Tobias; Stall, Shelley; Tacoma, Marten; Thijsse, Peter; Tronstad, Stein; Vandenberghe, Thomas; Wengren, Micah; Wyborn, Lesley; Zhao, Zhiming. |
Well-founded data management systems are of vital importance for ocean observing systems as they ensure that essential data are not only collected but also retained and made accessible for analysis and application by current and future users. Effective data management requires collaboration across activities including observations, metadata and data assembly, quality assurance and control (QA/QC), and data publication that enables local and interoperable discovery and access and secures archiving that guarantees long-term preservation. To achieve this, data should be findable, accessible, interoperable, and reusable (FAIR). Here, we outline how these principles apply to ocean data and illustrate them with a few examples. In recent decades, ocean data... |
Tipo: Text |
Palavras-chave: FAIR; Ocean; Data management; Data services; Ocean observing; Standardization; Interoperability. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62068/66248.pdf |
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Registros recuperados: 53 | |
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