Numerical methods for modeling

The content of the module is structured in 3 sequences:

1) a sequence of definition of concepts, handling of a tool (R) and reminders on the vocabulary in statistical estimation and its application to the calibration of hydrological parameters;

2) a sequence on uncertainty and sensitivity analysis methods and

3) a sequence on data assimilation applied to hydraulic modeling. The course will also be introduced by a presentation of a design office executive who will present the usefulness of this type of approach in engineering.

The objective of this module is to provide students with some reference points and knowledge on the purpose, content and limits of numerical methods in modeling, with hydrological and/or agronomic models as illustrations: parameter calibration methods, uncertainty and sensitivity analysis methods, data assimilation methods.

Hydrological/hydraulic modelling courses in S1 and at the beginning of S2

Continuous assessment: 100%.

Evaluation on graded TD

Sensitivity, uncertainties, data assimilation, parametric estimation