Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models

The objective of this thesis is to minimise the inevitable mismatch between physically-based models and the actual processes as described by the mismatch between predictions and observations.  The complementary modelling approach is applied to various hydrodynamic and hydrological models