Variational data assimilation on a multi-dimensional hydraulic-hydrological model of hydrographic network: inference of large composite control vectors on the DassFlow paltform
Abstract:<div>In a context of climate change and potential intensification of the hydrological cycle, improving representation of water fluxes within river basins is of paramount importance&#160; for hydrological sciences and operational forecasts. To leverage multi-sourced observations (in situ, satellite, drones) of the critical zone, innovative approaches integrating hydraulic-hydrological modeling and multi-variate assimilation methods are needed. They should enable ingesting spatially distrib… Show more
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