Ocean remote sensing data integration - examples and outlook

Type Publication
Date 2010
Language English
Author(s) Chapron Bertrand1, Bingham A2, Collard Fabrice3, Donlon Craig4, Johannessen Johnny A.5, 6, Piolle Jean-Francois1, Reul NicolasORCID1
Affiliation(s) 1 : IFREMER, Centre de Recherche et d'Exploitation Satellitaire, 29280 Plouzane, France
2 : Jet Propulsion Laboratory, NASA, 91109 Pasadena, California, USA
3 : Collecte Localisation Satellite, Radar Division, Brest, France
4 : European Space Agency, ESTEC, Keplerlaan 1, NL-2201 AZ Noordwijk, The Netherlands
5 : Nansen Environmental and Remote Sensing Center, Thormoehlensgate 47, N-5006, Bergen, Norway
6 : Geophysical Institute, University of Bergen, Norway
Meeting OceanObs'09: Sustained Ocean Observations and Information for Society (Vol. 1), Venice, Italy, 21-25 September 2009
Source Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society (ESA Publication), 2010
DOI 10.5270/OceanObs09.pp.12
Abstract Satellite remote sensing has emerged as an essential and necessary observing system to acquire global information about the state of the ocean. Complemented with in situ observing networks, the ultimate goals are to be able to make accurate estimates of selected key sets of geophysical variables, with the intention of either making operational predictions across time and spatial boundaries, or advancing fundamental knowledge through development of empirical relationships and theoretical models. For satellite oceanography, improvements are then constantly being sought in our understandings of the geophysical processes, the sensor physics, the electromagnetic and microwave properties and interactions at the complex air-sea interface. Challenges appear as unlimited as the variety of sea surface dynamics and boundary layer meteorological conditions with their broad range of spatial and temporal scales across the globe. To face these challenges, numerous efforts took places over the passed decade to build an ever-increasing quality, quantity, duration and integration of ocean observations. In parallel, simulation capabilities largely improved. All these efforts are then all critically calling for improved methodologies to better structure the wealth of information that is made readily accessible. This latter aspect is a very demanding new component for future multidisciplinary scientific research. Major innovations to consolidate sensor data repositories, to automate tailored queries, to extract, reveal and quantify relationships will then closely associate computer science developments and applied statistics with comprehensive theoretical and experimental thematic studies.
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Chapron Bertrand, Bingham A, Collard Fabrice, Donlon Craig, Johannessen Johnny A., Piolle Jean-Francois, Reul Nicolas (2010). Ocean remote sensing data integration - examples and outlook. Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society Publisher's official version : http://doi.org/10.5270/OceanObs09.pp.12 , Open Access version : http://archimer.ifremer.fr/doc/00029/14046/