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 …

Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and …

A central research challenge for the mathematical sciences in the twenty-first century is the
development of principled methodologies for the seamless integration of (often vast) data …

Abstract The Twentieth Century Reanalysis (20CR) project is an international effort to
produce a comprehensive global atmospheric circulation dataset spanning the twentieth …

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 …

The purpose of this paper is to provide a comprehensive presentation and interpretation of
the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large …

Most newcomers to the field of linear stochastic estimation go through a difficult process in
understanding and applying the theory. This book minimizes the process while introducing …

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 …

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 …