The conditioning of least-squares problems in variational data assimilation. - Jemima M. Tabeart; Sarah L. Dance; Stephen A. Haben; Amos S. Lawless; Nancy K. Nichols; Joanne A. Waller (Numer. Linear Algebra Appl., 2018)

The conditioning of least squares problems in preconditioned variational data assimilation. - Jemima M. Tabeart; Sarah L. Dance; Amos S. Lawless; Nancy K. Nichols; Joanne A. Waller (CoRR, 2020)

Saddle point preconditioners for weak-constraint 4D-Var. - Jemima M. Tabeart; John W. Pearson (CoRR, 2021)

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. - Elizabeth Qian; Jemima M. Tabeart; Christopher Beattie; Serkan Gugercin; Jiahua Jiang; Peter R. Kramer; Akil Narayan 001 (J. Sci. Comput., 2022)

New bounds on the condition number of the Hessian of the preconditioned variational data assimilation problem. - Jemima M. Tabeart; Sarah L. Dance; Amos S. Lawless; Nancy K. Nichols; Joanne A. Waller (Numer. Linear Algebra Appl., 2022)

Stein-based preconditioners for weak-constraint 4D-var. - Davide Palitta; Jemima M. Tabeart (J. Comput. Phys., 2023)

Block Alpha-Circulant Preconditioners for All-at-Once Diffusion-Based Covariance Operators. - Jemima M. Tabeart; Selime Gürol; John W. Pearson; Anthony T. Weaver (CoRR, 2025)

An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation. - Ieva Dauzickaite; M. A. Freitag; Selime Gürol; Amos S. Lawless; A. Ramage; Jennifer A. Scott; Jemima M. Tabeart (CoRR, 2025)