Numerical modeling methods

The content of the module is divided into 3 sequences:

1) a sequence to define concepts, get to grips with a tool (R) and review the vocabulary of 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 from a design office executive on the usefulness of this type of approach in engineering.

The aim of this module is to provide students with an overview of the purpose, content and limitations of numerical modeling methods, 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%.

Graded TD assessment

Sensitivity, uncertainties, data assimilation, parametric estimation