… a new, local formulation of the ensemble Kalman filter approach … s surface is divided up into
local regions of moderate size, vectors … Ensemble Kalman filters, in general, take the analysis …

… Ensemble Kalman filter (EnKF) is an important data assimilation method for high-… using
only information within a local radius. This paper rigorously analyzes the local EnKF (LEnKF) for …

… In this paper, we assimilate these observations with a specific ensemble Kalman filter
scheme. In particular, we use the localization set-up proposed in Ott et al. (2004) with the …

… of ensemble-based data assimilation techniques, such as in the basic form of the ensemble
Kalman filter (… (EnSRF), and the Local Ensemble Kalman Filter (LEKF). Further important …

A new multiscale, ensemble-based data assimilation (DA) method, multiscale local gain
form ensemble transform Kalman filter (MLGETKF), is introduced. MLGETKF allows …

… Wang , 2010: A comparison of the local ensemble transform Kalman filter and ensemble
square root filter data assimilation schemes. Preprints, 14th Symp. on Integrated Observing and …

… is to demonstrate the potential of one particular ensemble-based Kalman filter scheme; we
explain the implementation of the local ensemble Kalman filter (LEKF), introduced in Ott et al. (…

… We will restrict our considerations to the example of one particular ensemble Kalman filter,
the Local Ensemble Kalman Filter (LEKF) proposed by Ott et al. (2004a). [This scheme has …

… ensemble Kalman filter methods, the perturbed observation ensemble Kalman filter and
ensemble adjustment Kalman … ensemble Kalman filter and ensemble adjustment Kalman …

… The operational EnKF is used to investigate to what extent our system respects the underlying
hypotheses of both the Kalman filter and its ensemble approximation. In particular, we …