We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …

Variational and ensemble methods have been developed separately by various research
and development groups and each brings its own benefits to data assimilation. In the last …

This book places data assimilation (DA) into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It strives to provide a …

It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …

Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation in: Monthly
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …

Data assimilation is an iterative approach to the problem of estimating the state of a
dynamical system using both current and past observations of the system together with a …

We describe the development and testing of the hybrid ensemble/4D‐Var global data
assimilation system that was implemented operationally at the Met Office in July 2011, giving …

In this paper, we introduce a new, local formulation of the ensemble Kalman filter approach
for atmospheric data assimilation. Our scheme is based on the hypothesis that, when the …

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 …

An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical
Formulation and Preliminary Test in: Monthly Weather Review Volume 136 Issue 9 (2008) …