From Uncertainty Quantification to Hypothesis-Testing in Hydrological Application: Review of recent advances
Environmental scientists and engineers often require calibrating and testing their models against observed data. Despite major research efforts by the hydrological community, both topics present formidable challenges, both in operational and research settings.
Coffee and light refreshments provided.
Description
The first half of the talk reviews recent advances in uncertainty quantification in catchment-scale hydrology, from operationally-oriented advances in residual error modelling to the fascinating direction of uncertainty decomposition.