Author(s): H. Oubanas; F. Billaud; I. Gejdaze; P.-O. Malaterre
Linked Author(s): Pierre-Olivier Malaterre
Keywords: Data assimilation; Discharge estimation; Remote sensing; SWOT; Variational approach
Abstract: The forthcoming Surface Water and Ocean Topography mission will provide a global mapping of the water surface elevation for rivers wider than 50-100 m. Remote sensing of the river discharge is far more challenging however. Different methodologies have been proposed to estimate discharge in the framework of ungauged basins from SWOT observations solely. Among them, the SIC4D-Var approach which is a variant of the well known 4D-variational data assimilation, involving the 1.5D full Saint-Venant hydraulic modelThis work present preliminary results of a validation process of this previously published methodology over 19 rivers of different hydraulic conditions. Results over the Garonne river demonstrate successful estimation of discharge under uncertainty in the river parameters, i. e. bed geometry and roughness coefficient, with an optimal performance; 9.11% rRMSE.
Year: 2018