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09/09/2020
Combining data assimilation and machine learning to infer unresolved scale parametrisation
In recent years, machine learning (ML) has been proposed to devise data-...
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01/17/2020
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning
The reconstruction from observations of high-dimensional chaotic dynamic...
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01/06/2020
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
A novel method, based on the combination of data assimilation and machin...
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04/29/2019
Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ
A newly introduced stochastic data assimilation method, the Ensemble Kal...
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04/20/2018
