12 citations as recorded by crossref.

1. A metric tensor approach to data assimilation with adaptive moving meshes C. Krause et al. 10.1016/j.jcp.2022.111407
2. An Investigation of Adaptive Radius for the Covariance Localization in Ensemble Data Assimilation X. Xing et al. 10.3390/jmse9111156
3. Ensemble variational Fokker-Planck methods for data assimilation A. Subrahmanya et al. 10.1016/j.jcp.2024.113681
4. Biorthogonal Rosenbrock-Krylov time discretization methods R. Glandon et al. 10.1016/j.apnum.2019.09.003
5. Using global Bayesian optimization in ensemble data assimilation: parameter estimation, tuning localization and inflation, or all of the above S. Lunderman et al. 10.1080/16000870.2021.1924952
6. A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates A. Popov et al. 10.1137/20M1349965
7. An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter A. Popov & R. Zanetti 10.1137/22M1544312
8. Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders A. Popov & A. Sandu 10.3389/fams.2022.904687
9. A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering A. Popov et al. 10.16993/tellusa.214
10. Ensemble-regularized Kernel density estimation with applications to the ensemble Gaussian mixture filter A. Popov et al. 10.1007/s10596-025-10354-w
11. Multiple data assimilation as an approximate maximum a posteriori estimator K. Michaelson et al. 10.1007/s10596-025-10355-9
12. A data-driven localization method for ensemble based data assimilation E. Nino-Ruiz 10.1016/j.jocs.2021.101328