… Lagrangian drifter coordinates at assimilation. It is shown that this method is best formulated
using the ensemble Kalman filter, … transparent for assimilating Lagrangian data. The method …

… Lagrangian formulation of the transport with a Kalman-filter-based technique and assimilating
a … work is to compare the ensemble Kalman filter (EnKF) and the ensemble smoother (ES) …

… atmospheric data assimilation. We show how the EnKF relates to the Kalman filter. In … values
at the upstream locations in the semi-Lagrangian time-stepping scheme used in the forecast …

… Ensemble Kalman Filter for Data Assimilation of fluid flows is presented in this research work.
The main feature of this estimator is that the Kalman filter … -th order Lagrange interpolators. …

… data assimilation is on how to estimate the error covariance of the analysis. The ensemble
Kalman filter … attention to combining or coupling ensemble methods with variational methods (…

… applied Ensemble Kalman Filter to assimilate multi-source data … Two data assimilation
experiments (named EnKF1 and … Data assimilation technology is one of the best ways to achieve …

… the Lagrangian data assimilation framework. We will use the Bayesian viewpoint of the data
assimilation … of data assimilation and the ensemble Kalman filter in the following section. …

… More specifically, we seek to incorporate Lagrangian … boundary conditions using an
Ensemble Kalman Filter (EnKF). The … XL Dimet, “Lagrangian data assimilation for river hydraulics …

… has shown that strongly coupled data assimilation (SCDA), whereby … ensemble Kalman
filter. A prototype method for SCDA is developed with the local ensemble transform Kalman filter (…

… (EnKF) is a powerful tool for assimilating data in earth system models. The approach allows
… as new data become available. This paper focuses on EnKF data assimilation in models of …