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03/18/2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...
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09/28/2020
Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update
Numerical solvers using adaptive meshes can focus computational power on...
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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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07/30/2018
Joint Estimation of Model and Observation Error Covariance Matrices in Data Assimilation: a Review
This paper is a review of a crucial topic in data assimilation: the join...
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01/25/2018
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures
This paper studies inflation: the complementary scaling of the state cov...
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09/19/2017