Georges-Marie Saulnier
 
Laboratoire d'étude des Transferts en Hydrologie et Environnement (LTHE) BP 53
38041 Grenoble Cedex 9
France
Tel :+33 4 76 82 52 77
Fax : +33 4 76 82 52 86
email: saulnier@hmg.inpg.fr


George-Marie Saulnier received the Ph. D in hydrological modelling (1996) at the Insitut National Polytechnique de Grenoble (France). During the period 1996-97 he took a post-doc position at the Technical University of Denmark (Copenhagen) and was employed on the modelling of urban hydrology problems. In 1997 he entered the CNRS (Centre National de Recherche Scientifique) as Chargé de Recherche (researcher). His expertise lies in physically based hydrological modelling. During the last years he focused his research work on the effect of spatial variability of soil depths, river network, rainfall and/or snow on the hydrological responses of watersheds and on the problem of scale dependency between hydraulic conductivity and spatial resolutions of hydrological models. He is currently involved in the coupling of meteorological and hydrological models taking into account vadose zone characteristics and concepts such as dynamic drainage area.
 

Saulnier, G.M., Beven, K., and Obled, C., 1997, Digital elevation analysis for distributed hydrological modelling: reducing scale dependence in effective hydraulic conductivity values, Water Resources Research, 33(9), 2097-2101.

Saulnier, G.M., Obled, C., and Beven, K., 1997, Analytical compensation between DTM grid resolution and effective values of saturated hydraulic conductivity within the TOPMODEL framework, Hydrological Processes, 11, 1331-1346.

Saulnier, G.M., Obled, C., and Beven, K., 1998, Including spatially variable effective soil depths in TOPMODEL, Journal of Hydrology, 202, 158-172.

Role in the SMOS mission:

George-Marie Saulnier will be participant of the hydrology group. He will bring in his expertise in the modelling of soil moisture fluxes in the soil (vertical and horizontal) and over the soil at the MIRAS resolution (e.g. 20x20 km) by coupling these processes with vadose zone models. In a second step he will contribute to quantify the effects of topography and spatial variability of soil depth on the desaggregation of surface soil moisture content measured by RAMSES to a sub-grid resolution classically used by distributed hydrological models.