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

… the Ensemble Kalman Filter (EnKF), the Particle Filter (… multiscale DA techniques. The
methods discussed here are well suited for parallel computation, since they make use of ensemble …

… Data assimilation for systems possessing many scales of … Coupled data assimilation (CDA)
distinctively appears as a … and then focus on CDA using the ensemble Kalman filter (EnKF), a …

… a new multiscale approach to ensemble data assimilation that is … The primary advantages
of the multiscale approach are its … As in traditional ensemble Kalman filtering, the multiscale …

… In this study, a multimodel ensemble Kalman filter method is … is updated by assimilating
dynamic observations of hydraulic … Data assimilation via the ensemble Kalman filter based on a …

… The mean RMSEs averaged over 350 days for the integrated hybrid ensemble Kalman
filters using model III for (a) F = 16 and (b) F = 18, with varying ensemble sizes of climatological …

… square-root or stochastic ensemble Kalman filter and the large scale ensembles are all
updated to match the posterior covariance using the ensemble adjustment Kalman filter (EAKF) [2…

… data assimilation needs to be systematically addressed. Here we examine these issues using
the Ensemble Kalman … a conceptual prototype model of the multi-scale climate system. We …

… plot the assimilated water cut data along with the true data. … that the assimilated ensemble
better envelopes the true data. … field before assimilation (Figure 5(a)-(d)) for a few ensemble …

… and statistical constituents of the proposed data assimilation paradigm. To facilitate the …
used data assimilation techniques, we start by providing a brief sketch of the Kalman filtering …