Speaker
Harald Anlauf
(Deutscher Wetterdienst)
Description
In numerical weather prediction, data assimilation estimates the initial conditions for the forecast model by a statistical process that combines observational data with past information. In recent years, ensemble methods in data assimilation have matured to the extent that they are considered beneficial for operational numerical weather prediction. After a brief introduction to data assimilation, the presentation describes popular and efficient incarnations of Ensemble Kalman Filters and provides an outlook to Particle Filters for non-linear data assimilation which is a subject of current research.
