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Hybrid Neural Network – Variational Data Assimilation algorithm to infer river discharges from SWOT-like data
Abstract. A new algorithm to estimate river discharges from altimetry measurements only is designed. A first estimation is obtained by an artificial neural network trained from the altimetry large scale water surface measurements plus drainage area information. The combination of this purely data-based estimation and a dedicated algebraic flow model provides a first physically-consistent estimation. The latter is next employed as the first guess of an advanced variational data assimilationdoi:10.5194/npg-2020-32 fatcat:mvty633k2feffgvbcrhna3ck6m