Overview

Prerequisites

  • Interest and basic knowledge of hydrology and hydrological modelling
  • Good programming skills (ability to write scripts, use functions, loops, etc)
  • Good mathematical and statistical skills (able to carry out basic derivations, work with Gaussian pdf, etc)
  • Participants are expected to bring their own laptops, with a programming language installed
  • The course will be delivered in English; Exercise solutions will be demonstrated in Matlab
  • Preparatory material such as research articles are available on request

 

Outcomes

  • Learn how to calibrate a hydrological model using inverse modeling and Bayesian methods
  • Learn how to estimate uncertainties in model parameters under basic assumptions
  • Learn how to make probabilistic predictions and test model assumptions
  • Learn about the techniques for predicting streamflow in ungauged basins
  • Learn about model selection and hypothesis-testing in catchment scale hydrology

 

Contact The Organizers

Let us know if you have any questions