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 …

There has been great progress in data assimilation within atmospheric and oceanographic
sciences during the last couple of decades. In data assimilation, one aims at merging the …

This open-access textbook's significant contribution is the unified derivation of data-
assimilation techniques from a common fundamental and optimal starting point, namely …

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 …

This article provides a fundamental theoretical basis for understanding EnKF and serves as
a useful text for future users. Data assimilation and parameter-estimation problems are …

Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP
in: Monthly Weather Review Volume 143 Issue 1 (2015) Jump to Content Jump to Main …

Cloud-Resolving Hurricane Initialization and Prediction through Assimilation of Doppler Radar
Observations with an Ensemble Kalman Filter in: Monthly Weather Review Volume 137 Issue 7 …

An ensemble Kalman filter for convective‐scale data assimilation (KENDA) has been
developed for the COnsortium for Small‐scale MOdelling (COSMO) model. The KENDA …

Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation in:
Monthly Weather Review Volume 140 Issue 7 (2012) Jump to Content Jump to Main Navigation …

This study investigates the relation between two common localisation methods in ensemble
Kalman filter (EnKF) systems: covariance localisation and local analysis. Both methods are …