… 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 …

… 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 (…

… to data assimilation, an Ensemble Adjustment Kalman Filter (… performance of both data
assimilation approaches to system … generating the seed ensemble, ensemble size, localization …

… of the ensemble Kalman filter (EnKF, Evensen, 2003), used to assimilate satellite-based
SIC and SIT data in the … We propose an ensemble-based data assimilation system for the …

… 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. …

… 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 …

… data assimilation, to enhance the simulation accuracy by modifying the boundary conditions.
Among the existing data assimilation methods, the iterative ensemble Kalman … assimilating …

… This paper describes a practical implementation of an ensemble Kalman filter (EnKF)
based data assimilation system that is aimed towards enhancing the forecasting skill of flood …

… Sun, 2010: For how long should what data be assimilated for … errors and their implications
for data assimilation. Mon. Wea. … data assimilation with an ensemble Kalman filter. Mon. Wea. …

… This study presents a novel application of the ensemble Kalman filter (EnKF, Evensen, 2003)
used to assimilate satellitebased SIC and SIT data in the Lagrangian neXt generation Sea …