Data assembly and processing for operational oceanography 10 years of achievements

Type Article
Date 2009-09
Language English
Author(s) Le Traon Pierre-Yves1, Larnicol Gilles2, Guinehut Stephanie2, Pouliquen SylvieORCID1, Bentamy Abderrahim1, Roemmich Dean3, Donlon Craig4, Roquet Herve5, Jacobs Gregg6, Griffin David7, Bonjean Fabrice8, 9, Hoepffner Nicolas10, Breivik Lars-Anders11
Affiliation(s) 1 : IFREMER, Ctr Brest, F-29280 Plouzane, France.
2 : CLS Space Oceanog Div, Ramonville St Agne, France.
3 : Univ Calif San Diego, Scripps Inst Oceanog, La Jolla, CA 92093 USA.
4 : European Space Agcy, European Space Res & Technol Ctr, NL-2200 AG Noordwijk, Netherlands.
5 : Ctr Meteorol Spatiale, Res & Dev Team, Lannion, France.
6 : USN, Res Lab, Ocean Dynam & Predict Branch, Stennis Space Ctr, MS 39529 USA.
7 : CSIRO, Hobart, Tas, Australia.
8 : SAT OCEAN France, Seattle, WA USA.
9 : Earth & Space Res, Seattle, WA USA.
10 : Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Program Protect & Conservat European Seas, I-21020 Ispra, Italy.
11 : Norwegian Meteorol Inst, Sect Remote Sensing, Oslo, Norway.
Source Oceanography (1042-8275) (The Oceanography Society), 2009-09 , Vol. 22 , N. 3 , P. 56-69
WOS© Times Cited 15
Abstract Data assembly and processing centers are essential elements of the operational oceanography infrastructure. They provide data and products needed by modeling and data assimilation systems; they also provide products directly usable for applications. This paper discusses the role and functions of the data centers for operational oceanography. It describes some of the main data assembly centers (Argo and in situ data, altimetry, sea surface temperature) developed during the Global Ocean Data Assimilation Experiment. An overview of other data centers (wind and fluxes, ocean color, sea ice) is also given. Much progress has been achieved over the past 10 years to validate, intercalibrate, and merge altimeter data from multiple satellites. Accuracy and timeliness of products have been improved, and new products have been developed. The same is true for sea surface temperature data through the Global High-Resolution Sea Surface Temperature Pilot Project. A breakthrough in processing, quality control, and assembly for in situ data has also been achieved through the development of the real-time and delayed-mode Argo data system. In situ and remote-sensing data are now systematically and jointly used to calibrate, validate, and monitor over the long term the quality and consistency of the global ocean observing system. Main results are illustrated. There is also a review of the development and use of products that merge in situ and remote-sensing data. Future issues and main prospects are discussed in the conclusion.
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Le Traon Pierre-Yves, Larnicol Gilles, Guinehut Stephanie, Pouliquen Sylvie, Bentamy Abderrahim, Roemmich Dean, Donlon Craig, Roquet Herve, Jacobs Gregg, Griffin David, Bonjean Fabrice, Hoepffner Nicolas, Breivik Lars-Anders (2009). Data assembly and processing for operational oceanography 10 years of achievements. Oceanography, 22(3), 56-69. Open Access version : https://archimer.ifremer.fr/doc/00000/6879/