Crash Course on Data Assimilation - Theoretical foundations and advanced applications with focus on ensemble methods
Dates: Tuesday, 22. May 2018 - 8:30 to Friday, 25. May 2018 - 17:00
Location: Nansen Environmental and Remote Sensing Center - NERSC, Thormoehlensgt. 47, 5006 Bergen, Norway
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 school is part of the CHESS (Research school on changing climates in the coupled earth system) initiative .
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
- Yan Chen (Tentative, TOTAL, France): Data assimilation for history matching reservoir models
- Svetlana Dubinkina (CWI, Holland): Data assimilation for paleo-climate
- Colin Grudzien (NERSC, Norway): Numerical exercises on dynamical systems
- Remus Hanea (STATOIL, Norway): Data Assimilation for oil reservoirs
- Harrie-Jan Hendricks Franssen (IBG-3, Germany): Data assimilation for hydrology
- Patrick Raanes (IRIS & NERSC, Norway): Numerical exercises on data assimilation
- Annette Samuelsen (NERSC, Norway): Data assimilation for the ecosystem
- Yiguo Wang (NERSC, Norway): Data assimilation for climate prediction
More information can be found from here.