… ensemble Kalman filter or the ensemble Kalman smoothing method are increasingly used.
An algorithm based on the algorithms of the ensemble Kalman filter and ensemble Kalman …

… We review the SIRD model and the ensemble Kalman filter algorithm for inverse modelling.
Firstly, we demonstrate the use of EnKF using synthetic data. The effect on the estimated …

… Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large
user group, and numerous publications have discussed applications … in some applications. A …

… application of ensemble-based data assimilation techniques, such as in the basic form of the
ensemble Kalman filter (… The necessity of employing an ensemble of small size represents a …

… Mandel, A two-stage ensemble Kalman filter for smooth data assimilation. Environmental
and Ecological Statistics. Conference on New Developments of Statistical Analysis in Wildlife, …

… applications, the state vectors are large spatial fields that are observed sequentially over time.
The EnKF approximates the Kalman filter … 2, we review the standard Kalman filter for linear …

… Ensemble Kalman filter Evensen introduced the Ensemble Kalman filter in 1994 and the
theoretical formulations as well as an overview of several applications are described in …

… , eg, the extended Kalman filter. However, … , application of the extended Kalman filter also
meets difficulties. These difficulties are overcome by applying the ensemble Kalman filtering (…

… of ensemble Kalman filter methods in meteorological data assimilation. We begin with a
summary of meteorological models and ensembles … applications of the ensemble Kalman filter …

… of these techniques, the ensemble Kalman filter (EnKF). The … the EnKF to petroleum
applications to find valuable references … Following Evensen (2007), we then apply the exact …