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This course is an introduction to data assimilation and inverse methods. Mathematical formulation and algorithms of the major methods are presented, as well as application examples.
1. introduction to data assimilation2. mathematical tools (statistics, proba)3. ingredients of data assimilation4. Kalman filter5. ensemble algorithms6. methematical tools (differential calculus, optimisation)7. variationnal approaches
differential calculus, basic proba/stats, matrix theory, optimization, numerical analysis, partial differential equations
Semester 9 - The exam is given in english only
N = exam
Semester 9 - This course is given in english only
Documents and resources on the course webpage.
Date of update January 15, 2017