We modify the local ensemble Kalman filter (LEKF) to incorporate the effect of forecast
model bias. The method is based on augmentation of the atmospheric state by estimates of …

The ultimate goal is to develop a path towards an operational ensemble Kalman filtering
(EnKF) system. Several approaches to EnKF for atmospheric systems have been proposed …

Abstract An ensemble Kalman filter (EnKF) has been implemented at the Canadian
Meteorological Centre to provide an ensemble of initial conditions for the medium‐range …

The use of perturbed observations in the traditional ensemble Kalman filter (EnKF) results in
a suboptimal filter behaviour, particularly for small ensembles. In this work, we propose a …

Ensemble‐based Kalman smoother algorithms extend ensemble Kalman filters to reduce
the estimation error of past model states utilizing observational information from the future …

Ensemble square root filters can either assimilate all observations that are available at a
given time at once, or assimilate the observations in batches or one at a time. For large …

One aspect of implementing a limited-area ensemble Kalman filter (EnKF) involves the
specification of a suitable ensemble of lateral boundary conditions. Two classes of methods …

Reducing Forecast Errors Due to Model Imperfections Using Ensemble Kalman Filtering in:
Monthly Weather Review Volume 138 Issue 8 (2010) Jump to Content Jump to Main Navigation …

Ensemble Kalman filter techniques are widely used to assimilate observations into
dynamical models. The phase‐space dimension is typically much larger than the number of …

We introduce a new formulation of the ensemble forecast sensitivity developed by Liu and
Kalnay with a small correction from Li et al. The new formulation, like the original one, is …