14 citations as recorded by crossref.

1. Performance Bounds for Particle Filters Using the Optimal Proposal C. Snyder et al. 10.1175/MWR-D-15-0144.1
2. A hybrid particle-ensemble Kalman filter for problems with medium nonlinearity I. Grooms et al. 10.1371/journal.pone.0248266
3. State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems S. Vetra-Carvalho et al. 10.1080/16000870.2018.1445364
4. Second-order Accurate Ensemble Transform Particle Filters W. Acevedo et al. 10.1137/16M1095184
5. Gaussian approximations in filters and smoothers for data assimilation M. Morzfeld & D. Hodyss 10.1080/16000870.2019.1600344
6. A comparison of nonlinear extensions to the ensemble Kalman filter I. Grooms 10.1007/s10596-022-10141-x
7. Testing particle filters on simple convective‐scale models. Part 2: A modified shallow‐water model M. Haslehner et al. 10.1002/qj.2757
8. Hybrid Levenberg–Marquardt and weak-constraint ensemble Kalman smoother method J. Mandel et al. 10.5194/npg-23-59-2016
9. A generalized Gaussian distribution based uncertainty sampling approach and its application in actual evapotranspiration assimilation S. Chen 10.1016/j.jhydrol.2017.07.036
10. Data assimilation for nonlinear systems with a hybrid nonlinear Kalman ensemble transform filter L. Nerger 10.1002/qj.4221
11. Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet 10.5194/npg-25-765-2018
12. Using the local ensemble Transform Kalman Filter for upper atmospheric modelling S. Elvidge & M. Angling 10.1051/swsc/2019018
13. A local particle filter for high-dimensional geophysical systems S. Penny & T. Miyoshi 10.5194/npg-23-391-2016
14. A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems N. Chustagulprom et al. 10.1137/15M1040967