16 citations as recorded by crossref.

1. Review article: Comparison of local particle filters and new implementations A. Farchi & M. Bocquet
2. Data assimilation using adaptive, non-conservative, moving mesh models A. Aydoğdu et al.
3. A Hybrid Particle–Ensemble Kalman Filter for Lagrangian Data Assimilation L. Slivinski et al.
4. Assimilating en-route Lagrangian observations E. Spiller et al.
5. Efficient quadratures for high-dimensional Bayesian data assimilation M. Cheng et al.
6. Lagrangian Data Assimilation of Surface Drifters in a Double-Gyre Ocean Model Using the Local Ensemble Transform Kalman Filter L. Sun & S. Penny
7. An efficient and statistically accurate Lagrangian data assimilation algorithm with applications to discrete element sea ice models N. Chen et al.
8. Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models N. Chen & S. Fu
9. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al.
10. Impacts of the Lagrangian Data Assimilation of Surface Drifters on Estimating Ocean Circulation during the Gulf of Mexico Grand Lagrangian Deployment L. Sun et al.
11. Launching drifter observations in the presence of uncertainty N. Chen et al.
12. Lagrangian descriptors with uncertainty N. Chen et al.
13. A causation-based computationally efficient strategy for deploying Lagrangian drifters to improve real-time state estimation E. Bollt et al.
14. A coherent structure approach for parameter estimation in Lagrangian Data Assimilation J. Maclean et al.
15. Sequential Markov chain Monte Carlo for Lagrangian data assimilation with applications to unknown data locations H. Ruzayqat et al.
16. Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting H. Holm et al.