Data Assimilation

Data assimilation methods are used to combine the results of a large-scale numerical model with the measurement information available to obtain an optimal reconstruction of the dynamic behavior of the model state. A well-known example is weather forecasting where the numerical model of the atmosphere is continuously updated using the data that becomes available.

The course gives an overview of the various methods used for data assimilation and discusses the underlying mathematical aspects.

The final grade consists of the following parts:

* Assignments (20% of final grade);

* Report about the project (50%);

* Oral exam (30%).

Final grade calculation: (0.2 * assignments) + (0.5 * project report) + (0.3 * oral exam)

Resit/ Repair opportunities:

In case of an insufficient result, repair opportunities may be offered in accordance with TER Implementation Regulations Art 5, sub 5., for:

- Assignments: resubmit deliverable

- Project report: resubmit deliverable

- Oral exam: oral resit

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 29, sub 4).