… of the ensemble Kalman filter approach for atmospheric data assimilation. Our scheme is …
Ensemble Kalman filters, in general, take the analysis resulting from the data assimilation to …

… (a technique referred to as ensemble Kalman filtering) is examined in an idealized environment.
… of the data assimilation system and various aspects of the ensemble Kalman filter are …

… ABSTRACT In this paper, two data assimilation methods … : the ensemble Kalman filter and
the particle filter. Each of these … Kalman filter, consists to rely on the Ensemble Kalman Filter …

… However, the degree of suboptimality is relatively small and results presented here
indicate that the EnKF is a flexible and robust data assimilation option that gives satisfactory …

… (1), at each data assimilation step we match only observed data corresponding to the same
… by the ensemble generated at the previous data assimilation step. In our implementation of …

… method of data assimilation that is based on a simplification of the Kalman filter equations. …
central and most expensive aspect of the Kalman filter algorithm. In simulations with a linear…

… Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating
that targeting observations within the Kalman filter … ensemble transform Kalman filter (…

… 67 Kalman filter for intermittent data assimilation (BERGEMANN and REICH, 2010a,b).
With this 68 choice for R and H one could also implement a standard ensemble Kalman filter (…

… for data assimilation and estimation [26]–[28]. The goal of this article is to survey the growing
use of ensemble Kalman filter methods in meteorological data assimilation… data assimilation …

… An ensemble Kalman filter may be considered for the 4D assimilation of atmospheric data.
In this … An ensemble Kalman filter may be considered for the 4D assimilation of atmospheric …