Surrogate-based variational data assimilation for tidal modelling
Rem-Sophia Mouradi,
Cédric Goeury,
Olivier Thual
et al.
Abstract:Data assimilation (DA) is widely used to combine physical knowledge and observations. It is nowadays commonly used in geosciences to perform parametric calibration. In a context of climate change, old calibrations can not necessarily be used for new scenarios. This raises the question of DA computational cost, as costly physicsbased numerical models need to be reanalyzed. Reduction and metamodelling represent therefore interesting perspectives, for example proposed in recent contributions as hybridization betw… Show more
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