This article reviews the past 15 years of developments in regional ocean data assimilation. A
variety of scientific, management, and safety-related objectives motivate marine scientists to …

Data assimilation (DA) methods for convective‐scale numerical weather prediction at
operational centres are surveyed. The operational methods include variational methods (3D …

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

Data assimilation algorithms combine a numerical model with observations in a quantitative
way. For an optimal combination either variational minimization algorithms or ensemble …

This book provides a comprehensive introduction to the techniques, tools and methods for
inverse problems and data assimilation, and is written at the interface between mathematics …

This paper compares several commonly used state-of-the-art ensemble-based data
assimilation methods in a coherent mathematical notation. The study encompasses different …

Particle filters are well known in statistics. They have a long tradition in the framework of
ensemble data assimilation (EDA) as well as Markov chain Monte Carlo (MCMC) methods …

In recent years, several ensemble-based Kalman filter algorithms have been developed that
have been classified as ensemble square root Kalman filters. Parallel to this development …

An ensemble data assimilation system for 3D radar reflectivity data is introduced for the
convection‐permitting numerical weather prediction model of the COnsortium for Small …

The impact of assimilating sea ice thickness data derived from ESA's Soil Moisture and
Ocean Salinity (SMOS) satellite together with Special Sensor Microwave Imager/Sounder …