Jordi Vilà-Guerau de Arellano
Institut d'Estudis Espacials Catalunya (IEEC)
Gran Capità 2-4
08034 Barcelona
SPAIN
Telephone: 34 93 2802088
E-mail: vila@ieec.fcr.es
Jordi Vilà Guerau de Arellano obtained his PhD degree in Atmospheric Sciences at the University of Utrecht (The Netherlands). He worked one year at Météo-France developing a non-hydrostatic mesoscale model. He is now a senior scientist at IEEC where is the project manager of a European Union project related to the assimilation of GPS/MET data on mesoscale models. His main areas of interest are the atmospheric boundary layer and mesoscale atmospheric phenomena. He is an expert on numerical and field studies. He has published more than 20 papers on this area.
 
A. Rius, G. Elgard, J.M. Johansson, S. Keihm and N. Zarrao. Tropospheric delays estimated from VLBI, WVR and GPS. A comparative study. In XIth Working Meeting on European VLBI for Geodesy and Astronomy, 134-140.

J. Vilà-Guerau de Arellano and J. Leliveld ,1998, Chemistry in the atmospheric boundary layer. In Clear and Cloudy Boundary Layers, eds. A. Holtslag and P. G. Duynkerke, in press.

M.J.Molemaker and J. Vilà-Guerau de Arellano, 1998, Chemistry in the atmospheric boundary layer, Journal of Atmospheric Sciences 55, 568-579.

J.P. Lafore, J.Stein, N. Asencio, P. Bougeault, V. Ducrocq, J. Duron, C. Fischer, P. Héreil, P. Mascart, J.P. Pinty, J.L. Redelspergier, E. Richard, and J. Vilà-Guerau de Arellano, 1998, The Meso-NH atmospheric simulation. Part I: adiabatic formulation and control simulation. Annales Geophysicae 16, 90-109.

L. Cucurull, B. Navascues, G. Ruffini, A. Rius and P. Elósegui, 1998, The global position system as a tool for validation numerical weather prediction systems, submitted to Monthly Weather Review.


Role in the SMOS mission:

The remote sense observations of soil moisture measured by means of the SMOS instrument will be used to validate the descriptions of humidity at the surface implemented on the mesoscale meteorological model MM5. Sensitivity analysis will be carried out combining soil moisture retrieved from the brightness temperature and the soil moisture calculated by the model. Particular cases where the soil moisture at ground level plays an important role (formation and evolution of mesoscale convective systems) will be simulated to evaluate the impact of the soil moisture parameterization. The new data set measured by SMOS will complement other remote sense observation of the water vapor content on the atmosphere collected by means of the GPS/MET. Initial and tentative studies to determine the feasibility to assimilate the soil moisture in mesoscale models will also be carried out.