20 citations as recorded by crossref.

1. Performance Bounds for Particle Filters Using the Optimal Proposal C. Snyder et al. https://doi.org/10.1175/MWR-D-15-0144.1
2. A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity I. Grooms et al. https://doi.org/10.1371/journal.pone.0248266
3. Coupling Techniques for Nonlinear Ensemble Filtering A. Spantini et al. https://doi.org/10.1137/20M1312204
4. State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems S. Vetra-Carvalho et al. https://doi.org/10.1080/16000870.2018.1445364
5. A COPULA-BASED RANK HISTOGRAM ENSEMBLE FILTER A. Subrahmanya et al. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2025060281
6. A secular variation candidate for IGRF-14 based on core-flow inversion via an ensemble Kalman smoother K. Gwirtz et al. https://doi.org/10.1186/s40623-025-02289-4
7. Exploring non-Gaussian sea ice characteristics via observing system simulation experiments C. Riedel & J. Anderson https://doi.org/10.5194/tc-18-2875-2024
8. Second-order Accurate Ensemble Transform Particle Filters W. Acevedo et al. https://doi.org/10.1137/16M1095184
9. Gaussian approximations in filters and smoothers for data assimilation M. Morzfeld & D. Hodyss https://doi.org/10.1080/16000870.2019.1600344
10. A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms https://doi.org/10.1007/s10596-022-10141-x
11. Testing particle filters on simple convective‐scale models. Part 2: A modified shallow‐water model M. Haslehner et al. https://doi.org/10.1002/qj.2757
12. Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method J. Mandel et al. https://doi.org/10.5194/npg-23-59-2016
13. A generalized Gaussian distribution based uncertainty sampling approach and its application in actual evapotranspiration assimilation S. Chen https://doi.org/10.1016/j.jhydrol.2017.07.036
14. Data assimilation for nonlinear systems with a hybrid nonlinear Kalman ensemble transform filter L. Nerger https://doi.org/10.1002/qj.4221
15. Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet https://doi.org/10.5194/npg-25-765-2018
16. Using the local ensemble Transform Kalman Filter for upper atmospheric modelling S. Elvidge & M. Angling https://doi.org/10.1051/swsc/2019018
17. A local particle filter for high-dimensional geophysical systems S. Penny & T. Miyoshi https://doi.org/10.5194/npg-23-391-2016
18. Regularization and tempering for a moment‐matching localized particle filter J. Poterjoy https://doi.org/10.1002/qj.4328
19. A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems N. Chustagulprom et al. https://doi.org/10.1137/15M1040967
20. A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation I. Grooms & C. Riedel https://doi.org/10.3390/rs16132377