… Comparison of posterior distributions of particle filter (blue dashed curve), ensemble Kalman
filter (red solid curve), and hybrid filter (green dashed–dotted curve): single forecast and …

… implementation of the ensemble Kalman filter for Lagrangian 141 data assimilation has been
… intermittent data assimilation is used. The proposed ensemble Kalman-Bucy filter should …

… Ensemble methods use an ensemble of first guesses to represent … The result of ensemble
assimilation is the ensemble of … the ensemble Kalman filters, the Local Ensemble Transform …

… a complete ensemble Kalman filter assimilation system, … ensemble Kalman filter with his/her
own dynamical model. The focus on ensemble methods, such as the ensemble Kalman filter …

… or Bayesian formulation of the Kalman filter, and we prove that it is … ensemble Kalman filter
(MM-EnKF) based on this framework. The MM-EnKF can combine multiple model ensembles …

… data assimilation systems. One of the most popular algorithms for data assimilation is the
ensemble Kalman filter, in which the forecast error covariance is estimated using an ensemble …

In this paper, a multiscale data assimilation approach is constructed to evaluate boundary …
the ensemble Kalman filtering (EnKF) method is used as the engine for estimation and filtering …

… formulation of the ensemble Kalman filter approach for atmospheric data assimilation. Our
scheme … Introducing a k × k matrix Bmn of Lagrange multipliers, we form the following quantity …

… of model and observation error in the Lagrangian trajectories, and 2) the high … Lagrangian
data assimilation (LaDA) method that is based on the local ensemble transform Kalman filter (…

… This posterior distribution gives the optimal ensemble to be used in data assimilation. The …
Lagrangian data. We compare these methods to the well-established ensemble Kalman filter (…