Advanced Algorithms for Data Assimilation

This course begins by reviewing the basics of data assimilation linked to statistical assumptions. Please note that the training course 'Introduction to Data Assimilation' covers this part in detail. Then, the algorithms for variational data assimilation are described from different perspectives such as global optimization, derivative-free optimization, dual formulations and preconditioning. Finally, Ensemble Kalman Filters, diagnostics for assessing the optimality of the optimization system and techniques for modelling prior error covariances are detailed.

Target participants:
This training session is for engineers, physicists, computer scientists
and numerical analysts wishing to learn numerical methods to develop
data assimilation applications.

Prerequisites:
Basic knowledge of linear algebra and numerical analysis.

Scientific contact:
Serge GRATTON

Fee:
- Public staff : 600 €
- CERFACS shareholders/ CNRS/INRIA: 300 €
- Students: 100 €

Dates: 29-30 May 2013

Deadline for registration: 15 days before the starting date of the training course

Duration: 2 days
(14 hours eligible for Individual Right to Training (DIF))

Program

(Every day from 9h to 17h30)

The program will be adapted and completed after analysis of participants' needs.

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