Crash Course on Data Assimilation – Theoretical foundations and advanced applications with focus on ensemble methods

May 31, 2021 – June 4, 2021 all-day
Online (on TEAMS)

The 5-days online school aims at PhD-level students and early-stage scientists intending to apply data assimilation as part of their research. The school should also be useful for students with beginner or little notions of data assimilation. The crash course will cover the basic concepts of data assimilation, focusing on ensemble methods, illustrated with real-scale / operational applications and with practical exercises. This 3rd edition will also include notions of Machine Learning of relevance for data assimilation.

The event is organised by NERSC and NORCE in the framework of the projects DIGIRES and REDDA from the Norwegian Research Council and supported by CHESS. All classes and practical sessions will be held online on Teams.

For more details and application, please see their webpage:

Deadline for application: 1 April (registration closed)