63-764 Data assimilation (Lectures and Tutorial)

Instructors: Dr. Armin Köhl; Dr. Nuno Serra; Prof. Dr. Detlef Stammer; Prof. Dr. Nedjeljka Zagar

Event type: Lecture + seminar

Displayed in timetable as: OZ-M-INVERS-VS

Hours per week: 4

Credits: 6,0

Language of instruction: English

Min. | Max. participants: 5 | 25

Comments/contents:
The theory and methods of time-­invariant inverse
modeling and time-­dependent data assimilation. Least-­squares solutions, generalized inverse, sequential data assimilation, optimal interpolation, Kalman filter, adjoint methods, state estimation and parameter estimation.

Learning objectives:
Students will have made themselves familiar with the theory and methods of inverse modeling and data assimilation. The focus of applications will be on oceanographic problems, but will include also
assimilation approaches in the coupled climate system.