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19952023
most citedCombining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

206 citations · 1.5k across the 29 of their papers we have counts for

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Showing 2017 · math.OCShow all

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math.OC2017

Asymptotic forecast uncertainty and the unstable subspace in the presence of additive model error

Colin Grudzien, Alberto Carrassi, Marc Bocquet

It is well understood that dynamic instability is among the primary drivers of forecast uncertainty in chaotic, physical systems. Data assimilation techniques have been designed to…