Nelly M. Mognard
BPI 2801
18 Ave. E. Belin
Tel: 1 253 593 6516
Fax: 1 253 383 7967

Nelly M. Mognard received her Doctorat d'Etat from the Université Paul Sabatier (Toulouse, France) for her work on satellite radar altimetry of the ocean surface. Since 1974 she has been a Research Scientist with CNES, and has worked at CNES/CESBIO since 1995. She is affiliated with the US Geological Survey Ice and Climate Project, and is a Research Professor at the University of Puget Sound. Her main area of research is the application of microwave remote sensing to the field of atmosphere ocean cryosphere interactions. Her expertise includes the development of geophysical retrieval algorithms for interpreting satellite data for oceanic and cryospheric applications and developing applications of spaceborne and airborne microwave earth observation to oceanic and continental processes.

Mognard, N.M., E.G. Josberger, and P., Gloersen, Seasonal evolution of the 1988-89 of the Northern Great Plains snow pack from passive microwave satellite observations, Proceedings, 27th Intern. Symposium on Remote Sensing of Environment, Tromso, Norway, June 8-12, 1998.

Mognard N. M., S. Baillarin, and Y. H. Kerr, Monitoring of the boreal regions from 1992 to 1996 with the Special Sensor Microwave Imager, Proceedings, IGARSS'98, Seattle, USA, July 6-10, 1998.

Josberger, E.G., and N.M., Mognard, Northern Great Plains snowpack hydrology from satellite passive microwave observations, Proceedings, IGARSS'98, Seattle, USA, July 6-10, 1998.

Kerr, Y.H., N.M. Mognard, S. Baillarin, J.-C. Meunier et S. Kaladgev, Synergistic use of passive and active microwave data over the boreal regions, submitted to Nordic Hydrology, July 1998.

Josberger, E.G. and N.M., Mognard, A passive microwave snow depth algorithm with a proxy for snow metamorphism, 4th International Workshop on Application of Remote Sensing in Hydrology, Santa Fe, November 4-6, 1998.

Role in the SMOS mission:

Her role in the SMOS project will be to take part in the development of geophysical retrieval algorithms for snow and sea ice and merge the SMOS data with satellite observations at different wavelength from the EOS PM-1 and ADEOS-II satellites.