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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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Showing 2017 · physics.ao-phShow all

2 papers · 2 filters

physics.ao-ph2017★ 70 cited

Stochastic parameterization identification using ensemble Kalman filtering combined with expectation-maximization and Newton-Raphson maximum likelihood methods

Manuel Pulido, Pierre Tandeo, Marc Bocquet +2

For modelling geophysical systems, large-scale processes are described through a set of coarse-grained dynamical equations while small-scale processes are represented via parameter…

physics.ao-ph2017

Data Assimilation in the Geosciences - An overview on methods, issues and perspectives

Alberto Carrassi, Marc Bocquet, Laurent Bertino +1

We commonly refer to state-estimation theory in geosciences as data assimilation. This term encompasses the entire sequence of operations that, starting from the observations of a…