The 4-days school aims at PhD-level students and early stage scientists with beginner or no notions of data assimilation intending to apply data assimilation as part of their research. The crash course will cover the basic notions of data assimilation, focusing on ensemble methods, illustrated with real-scale / operational applications and with the aid of practical exercises.
The event is organised in the framework of the Nordic Countries Centre of Excellence EmblA (https://embla.nersc.no/).
The temporary list of lectures and (tentative) topics is given below:
- Geir Evensen (IRIS & NERSC, Norway): Basic principles of inference and theory of variational and sequential Gaussian analysis, EnKF fundamentals
- Laurent Bertino (NERSC, Norway): Background statistics, spatial covariances, anamorphosis for non Gaussian variables
- Alberto Carrassi (NERSC, Norway): Data assimilation for chaotic dynamics
- Francois Counillon (NERSC, Norway): Data assimilation for climate prediction
- Remus Hanea (STATOIL, Norway): Data Assimilation for oil reservoirs
- John Harlim (PSU, USA): Model error treatment in data assimilation
- Jesper Mariegård (DHI, Denmark): Operational assimilation for sea-level and tides
- Patrick Raanes (NERSC, Norway): Exercises and illustrations using the DA Python platform DAPPER
- Annette Samuelsen (NERSC, Norway): Data assimilation for the ecosystem
- Mikhail Sofiev (FMI, Finland): Data assimilation for chemical transport and aerosol
- Peter Jan Van Leeuwen (Un. of Reading, UK): Particle filters
- Julius Vira (FMI, Finland): Assimilation of volcanic tracers