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| Registros recuperados: 15 | |
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| Drifter Data Management Team,. |
| This document is the Drifter quality control manual. It is derived from Argo floats quality control on trajectories (http://dx.doi.org/10.13155/33951). Changes from the previous version of the manual are highlighted in yellow. The Drifter data system has three levels of quality control. - The first level is the real-time system that performs a set of agreed automatic checks on all drifter measurements. Real-time data with assigned quality flags are available to users within the 24-48 hrs timeframe. - The second level of quality control is the delayed-mode system. - The third level of quality control is regional scientific analyses of all drifter data with other available data. The procedures for regional analyses are still to be determined. This... |
| Tipo: Text |
Palavras-chave: Dbcp; Drifting buoy; Operational oceanography. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00409/52040/59593.pdf |
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| Rubio, Anna; Mader, Julien; Corgnati, Lorenzo; Mantovani, Carlo; Griffa, Annalisa; Novellino, Antonio; Quentin, Céline; Wyatt, Lucy; Schulz-stellenfleth, Johannes; Horstmann, Jochen; Lorente, Pablo; Zambianchi, Enrico; Hartnett, Michael; Fernandes, Carlos; Zervakis, Vassilis; Gorringe, Patrick; Melet, Angélique; Puillat, Ingrid. |
| High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. HFRs have become invaluable tools in the field of operational oceanography for measuring surface currents, waves and winds, with direct applications in different sectors and an unprecedented potential for the integrated management of the coastal zone. In Europe, the number of HFR networks has been showing a significant growth over the past 10 years, with over 50 HFRs currently deployed and a number in the planning stage. There is also a growing literature concerning the use of this technology in research and operational oceanography. A... |
| Tipo: Text |
Palavras-chave: High frequency radar; Operational oceanography; Coastal observing systems; Radar remote sensing; Surface currents; Surface waves; Model assessment; Data assimilation. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00368/47879/47895.pdf |
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| Marine-mammals data management team. |
| The instrumented sea-mammals program is the global network of open-ocean in-situ observations, being implemented by an international partnership of researchers. Instrumented sea-mammals provide trajectories and vertical profiles of various physical, biogeochemical variables in different regions around the globe. The program’s objective is to build and maintain a multidisciplinary global network for a broad range of research and operational applications including biology, climate and ecosystem variability and forecasting and ocean state validation. Sea-mammals data are publicly available. More information about the project is available at: http://www.coriolis.eu.org/Observing-the-Ocean/Marine-Mammals The main purpose of this document is to specify the... |
| Tipo: Text |
Palavras-chave: Marine mammals; Physical oceanography; In-situ marine data; Operational oceanography. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00255/36622/35194.pdf |
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| Isern-fontanet, Jordi; Turiel, A; Garcia Ladona, E; Font, J. |
| In this paper we investigate the validity of the multifractal formalism to study sea surface temperature ( SST). It is shown that SST patterns observed in moderate resolution SST images have anomalous scaling properties characteristic of a multifractal structure. The most probable origin of the observed structures is the turbulent character of the oceanic flow as they evolve slowly and are very persistent in times compatible with ocean mesoscale dynamics ( several days). The spectrum of singularity exponents indicates that the dynamics of the processes leading to the geometrical arrangement of the SST patterns is quite general over the available range of scales. As a consequence, multifractal techniques can be used to extract properties of the underlying... |
| Tipo: Text |
Palavras-chave: Operational oceanography; Remote sensing; MSS method. |
| Ano: 2007 |
URL: http://archimer.ifremer.fr/doc/2007/publication-2644.pdf |
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| Smith, Gregory C.; Allard, Richard; Babin, Marcel; Bertino, Laurent; Chevallier, Matthieu; Corlett, Gary; Crout, Julia; Davidson, Fraser; Delille, Bruno; Gille, Sarah T.; Hebert, David; Hyder, Patrick; Intrieri, Janet; Lagunas, Jose; Larnicol, Gilles; Kaminski, Thomas; Kater, Belinda; Kauker, Frank; Marec, Claudie; Mazloff, Matthew; Metzger, E. Joseph; Mordy, Calvin; O'Carroll, Anne; Olsen, Steffen M.; Phelps, Michael; Posey, Pamela; Prandi, Pierre; Rehm, Eric; Reid, Phillip; Rigor, Ignatius; Sandven, Stein; Shupe, Matthew; Swart, Sebastiaan; Smedstad, Ole Martin; Solomon, Amy; Storto, Andrea; Thibaut, Pierre; Toole, John; Wood, Kevin; Xie, Jiping; Yang, Qinghua. |
| There is a growing need for operational oceanographic predictions in both the Arctic and Antarctic polar regions. In the former, this is driven by a declining ice cover accompanied by an increase in maritime traffic and exploitation of marine resources. Oceanographic predictions in the Antarctic are also important, both to support Antarctic operations and also to help elucidate processes governing sea ice and ice shelf stability. However, a significant gap exists in the ocean observing system in polar regions, compared to most areas of the global ocean, hindering the reliability of ocean and sea ice forecasts. This gap can also be seen from the spread in ocean and sea ice reanalyses for polar regions which provide an estimate of their uncertainty. The... |
| Tipo: Text |
Palavras-chave: Polar observations; Operational oceanography; Ocean data assimilation; Ocean modeling; Forecasting; Sea ice; Air-sea-ice fluxes; YOPP. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00512/62379/66650.pdf |
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| Jaccard, Pierre; Hjemann, Dag Oystein; Ruohola, Jani; Ledang, Anna Birgitta; Marty, Sabine; Kristiansen, Trond; Kaitala, Seppo; Mangin, Antoine. |
| Previous versions of this document and up to version 2.5 were generated during MyOcean, MyOcean2 and MyOceanFO EU-projects. Starting in CMEMS, several updates have been performed but not officially released. Version 3.1 is the first official release within CMEMS with focus on chlorophyll-a fluorescence. The present Version 6 is the method used for the production of CMEMS INSITU_GLO_BGC_REP_OBSERVATIONS_013_046 release for the V4 of CMEMS in 2018. This document presents quality assessment tools that can be applied as soon as data are delivered to the CMEMS production units, as well as reprocessing tools. The latter requires a certain knowledge about the type and structure of the data in order to build the control quality test. In addition, a set of tools... |
| Tipo: Text |
Palavras-chave: MyOcean; Physical oceanography; In-situ marine data; Operational oceanography. |
| Ano: 2018 |
URL: http://archimer.ifremer.fr/doc/00251/36232/34792.pdf |
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| EuroGOOS DATA-MEQ working group. |
| With the construction of operational oceanography systems, the need for real-time has become more and more important. A lot of work had been done in the past, within National Data Centres (NODC) and International Oceanographic Data and Information Exchange (IODE) to standardise delayed mode quality control procedures. Concerning such quality control procedures applicable in real-time (within hours to a maximum of a week from acquisition), which means automatically, some recommendations were set up for physical parameters but mainly within projects without consolidation with other initiatives. During the past ten years the EuroGOOS community has been working on such procedures within international programs such as Argo, OceanSites or GOSUD, or within EC... |
| Tipo: Text |
Palavras-chave: EuroGOOS; Physical oceanography; In-situ marine data; Operational oceanography. |
| Ano: 2010 |
URL: http://archimer.ifremer.fr/doc/00251/36230/34790.pdf |
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| Von Schuckmann, Karina; Le Traon, Pierre-yves; Alvarez-fanjul, Enrique; Axell, Lars; Balmaseda, Magdalena; Breivik, Lars-anders; Brewin, Robert J. W.; Bricaud, Clement; Drevillon, Marie; Drillet, Yann; Dubois, Clotilde; Embury, Owen; Etienne, Helene; Garcia Sotillo, Marcos; Garric, Gilles; Gasparin, Florent; Gutknecht, Elodie; Guinehut, Stephanie; Hernandez, Fabrice; Juza, Melanie; Karlson, Bengt; Korres, Gerasimos; Legeais, Jean Francois; Levier, Bruno; Lien, Vidar S.; Morrow, Rosemary; Notarstefano, Giulio; Parent, Laurent; Pascual, Alvaro; Perez-gomez, Begona; Perruche, Coralie; Pinardi, Nadia; Pisano, Andrea; Poulain, Pierre-marie; Pujol, Isabelle M.; Raj, Roshin P.; Raudsepp, Urmas; Roquet, Herve; Samuelsen, Annette; Sathyendranath, Shubha; She, Jun; Simoncelli, Simona; Solidoro, Cosimo; Tinker, Jonathan; Tintore, Joaquin; Viktorsson, Lena; Ablain, Michael; Almroth-rosell, Elin; Bonaduce, Antonio; Clementi, Emanuela; Cossarini, Gianpiero; Dagneaux, Quentin; Desportes, Charles; Dye, Stephen; Fratianni, Claudia; Good, Simon; Greiner, Eric; Gourrion, Jerome; Hamon, Mathieu; Holt, Jason; Hyder, Pat; Kennedy, John; Manzano-munoz, Fernando; Melet, Angelique; Meyssignac, Benoit; Mulet, Sandrine; Nardelli, Bruno Buongiorno; O'Dea, Enda; Olason, Einar; Paulmier, Aurelien; Perez-gonzalez, Irene; Reid, Rebecca; Racault, Marie-fanny; Raitsos, Dionysios E.; Ramos, Antonio; Sykes, Peter; Szekely, Tanguy; Verbrugge, Nathalie. |
| The Copernicus Marine Environment Monitoring Service (CMEMS) Ocean State Report (OSR) provides an annual report of the state of the global ocean and European regional seas for policy and decision-makers with the additional aim of increasing general public awareness about the status of, and changes in, the marine environment. The CMEMS OSR draws on expert analysis and provides a 3-D view (through reanalysis systems), a view from above (through remote-sensing data) and a direct view of the interior (through in situ measurements) of the global ocean and the European regional seas. The report is based on the unique CMEMS monitoring capabilities of the blue (hydrography, currents), white (sea ice) and green (e.g. Chlorophyll) marine environment. This first... |
| Tipo: Text |
Palavras-chave: Copernicus Marine Environment Monitoring Service; Ocean reporting; Ocean monitoring; State of the ocean; Ocean variability; Operational oceanography; Ocean climate variability. |
| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00383/49471/49959.pdf |
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| Registros recuperados: 15 | |
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