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20072026
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 · 966 across the 31 of their papers we have counts for

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nlin.CD2024

Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble

Marc Bocquet, Alban Farchi, Tobias S. Finn +5

We investigate the ability to discover data assimilation (DA) schemes meant for chaotic dynamics with deep learning. The focus is on learning the analysis step of sequential DA, fr…