Philippe Gaspar

Gilles Larnicol

Pierre-Yves. Le Traon

CLS Space Oceanography Division
Collecte Localisation Satellites (CLS)
Space Oceanography Division
8-10 rue Hermès
F- 31526 Ramonville, France
Tel: 33-(0)561 39 47 80; Fax: 33-(0)561 75 10 14
(gaspar@cls.cnes.fr; larnicol@cls.cnes.fr; letraon@cls.cnes.fr)
 

Philippe Gaspar received a PhD in Applied Sciences (Physical Oceanography) in 1985 from the University of Louvain (Belgium). He started work in satellite oceanography as a Post-Doctoral Associate in the Department of Earth, Atmospheric and Planetary Sciences of the Massachusetts Institute of Technology. Since 1990, he leads the CLS Space Oceanography Division. His main fields of interest include the oceanic mixed layer physics, the oceanic response to atmospheric pressure forcing and the sea state bias in radar altimeter measurements of the sea level.
 

Koblinsky, C.J., P. Gaspar and G. Lagerloef, 1992: The future of spaceborne altimetry: Oceans and climate changes. Joint Oceanographic Institutions Inc., 75 pp.

Verron, J., L. Cloutier and P. Gaspar, 1996: Assessing dual-satellite altimetric missions for observing the midlatitude oceans. J. Atmos. Ocean. Tech., 13, 1073-1089.

Gaspar, P. and R.M. Ponte, 1997: Relation between sea level and barometric pressure determined from altimeter data and model simulations. J. Geophys. Res., 102, 961-971.

Gaspar, P., and J.P. Florens, 1998: Estimation of the sea state bias in radar altimeter measurements of sea level: results from a new nonparametric method. J. Geophys. Res., 103, 15803-15814.

Gilles Larnicol received an engineering degree from the Ecole Nationale des Techniques Avancées (ENSTA) in oceanography and meteorology. He joined the CLS Space Oceanographic Division in 1994 and got a PhD in physical oceanography from the University of Brest in 1998. His thesis dealt with the inverse modelling of the large scale Atlantic ocean circulation using altimetry and in situ data. He is now involved in the analysis of Mediterranean sea ocean circulation from altimetry and in the MERCATOR project (comparison of altimetry and in-situ data).
 

Larnicol G., P.Y. Le Traon, N. Ayoub, P. De Mey, Mean seal level and surface circulation variability of the Mediterranean sea from 2 years of TOPEX/POSEIDON altimetry, J. Geophys. Res., Vol 100, C12, p 25,163-25,177, 1995

Larnicol G., Analyse de la réponse de l'océan atlantique au forçage saisonnier atmosphérique à partir des données altimétriques Topex/Poséidon et d'un modèle inverse non linéaire, Thèse de doctorat de l'Université de Bretagne Occidentale, 1998


 

Pierre-Yves. Le Traon received a MSc degree in Physical Oceanography from the University of Brest in 1985 and a PhD in Space Oceanography from the Toulouse University in 1990. He has been a research engineer at the CLS Space Oceanography Division since 1990 and is now head of its Ocean Studies Unit. He got an Habilitation à Diriger des Recherches from the Toulouse University in 1995. He is Principal Investigator of an ERS-1/ERS-2 proposal and Principal Investigator of a TOPEX/POSEIDON and Jason-1 proposal. He is a member of the Radar altimeter ENVISAT Science Advisory Group (SAG). He is also member of the GODAE (Global Ocean Data Assimilation) project office and responsible for the data component of the French MERCATOR (Global modelling and assimilation system) project.
 

Ayoub, N., P.Y. Le Traon and P. De Mey, 1998. Combining ERS-1 and Topex/Poseidon data to observe the variable oceanic circulation in the Mediterranean sea, J. Mar. Sys (in press.).

Le Traon, P.Y. and P. Gauzelin, 1997. Response of the Mediterranean mean sea level to atmospheric pressure forcing, J. Geophys. Res., 102, 973-984.

Le Traon, P.Y. and F. Ogor, 1998. ERS-1/2 orbit improvement using Topex/Poseidon : the 2 cm challenge, J. Geophys. Res.,103, 8045-8057.

Le Traon, P.Y., F. Nadal and N. Ducet, 1998. An improved mapping method of multi-satellite altimeter data, J. Atm. Ocean. Tech., 15, 522-534.
 
 

Role of CLS in the SMOS mission:

CLS role in the SMOS project would be, first, to help refine the science requirements for SSS data and, in particular:

  • to accurately define the space/time variability of the SS signal from existing data and then to define optimal strategies for SMOS geophysical data processing (analysis of the trade-off between noise reduction and signal removal).
  • to analyze the impact of SMOS data in model through inverse modelling and assimilation experiments.
  • CLS could then contribute to the specification of geophysical data processing algorithms over ocean, based on the results of the previous studies and knowledge of interferometric radiometry.