7 citations · 17 across the 8 of their papers we have counts for
8 papers
Filtering with Randomised Observations: Sequential Learning of Relevant Subspace Properties and Accuracy Analysis
Nazanin Abedini, Jana de Wiljes, Svetlana Dubinkina
State estimation that combines observational data with mathematical models is central to many applications and is commonly addressed through filtering methods, such as ensemble Kal…
Convergence properties of a Gauss-Newton data-assimilation method
Nazanin Abedini, Svetlana Dubinkina
Four-dimensional weak-constraint variational data assimilation estimates a state given partial noisy observations and dynamical model by minimizing a cost function that takes into…
Energy-conserving formulation of the two-fluid model for incompressible two-phase flow in channels and pipes
J. F. H. Buist, B. Sanderse, S. Dubinkina +2
We show that the one-dimensional (1D) two-fluid model (TFM) for stratified flow in channels and pipes (in its incompressible, isothermal form) satisfies an energy conservation equa…
Accounting for model error in Tempered Ensemble Transform Particle Filter and its application to non-additive model error
Svetlana Dubinkina, Sangeetika Ruchi
In this paper, we trivially extend Tempered (Localized) Ensemble Transform Particle Filter---T(L)ETPF---to account for model error. We examine T(L)ETPF performance for non-additive…
Transform-based particle filtering for elliptic Bayesian inverse problems
Sangeetika Ruchi, Svetlana Dubinkina, Marco Iglesias
We introduce optimal transport based resampling in adaptive SMC. We consider elliptic inverse problems of inferring hydraulic conductivity from pressure measurements. We consider t…
Shadowing-based data assimilation method for partially observed models
Bart de Leeuw, Svetlana Dubinkina
In this article we develop further an algorithm for data assimilation based upon a shadowing refinement technique [de Leeuw et al., SIAM J. Appl. Dyn. Sys., 17 (2018)] to take part…
Application of ensemble transform data assimilation methods for parameter estimation in reservoir modelling
Sangeetika Ruchi, Svetlana Dubinkina
Over the years data assimilation methods have been developed to obtain estimations of uncertain model parameters by taking into account a few observations of a model state. The mos…
Projected Shadowing-based Data Assimilation
Bart de Leeuw, Svetlana Dubinkina, Jason Frank +3
In this article we develop algorithms for data assimilation based upon a computational time dependent stable/unstable splitting. Our particular method is based upon shadowing refin…