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05/05/2023
Noise calibration for the stochastic rotating shallow water model
Stochastic partial differential equations have been used in a variety of...
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06/15/2022
Particle Filtering and Gaussian Mixtures – On a Localized Mixture Coefficients Particle Filter (LMCPF) for global NWP
In a global numerical weather prediction (NWP) modeling framework we stu...
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12/30/2021
Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model
In this work, we use a tempering-based adaptive particle filter to infer...
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05/20/2021
On preconditioning the state formulation of incremental weak constraint 4D-Var
Using a high degree of parallelism is essential to perform data assimila...
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01/18/2021
Randomised preconditioning for the forcing formulation of weak constraint 4D-Var
There is growing awareness that errors in the model equations cannot be ...
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10/05/2020
A new Framework for Causal Discovery
Many frameworks exist to infer cause and effect relations in complex non...
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11/04/2019
Model uncertainty estimation using the expectation maximization algorithm and a particle flow filter
Model error covariances play a central role in the performance of data a...
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10/02/2019
Massively Parallel Implicit Equal-Weights Particle Filter for Ocean Drift Trajectory Forecasting
Forecasting ocean drift trajectories are important for many applications...
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08/21/2019
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation
We consider the large-sparse symmetric linear systems of equations that ...
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07/27/2018
Particle filters for applications in geosciences
Particle filters contain the promise of fully nonlinear data assimilatio...
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07/24/2018