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From Uncertainty Quantification to Hypothesis-Testing in Hydrological Application: Review of recent advancesExport this event to calendar

Friday, February 24, 2017 — 1:30 PM to 2:30 PM EST

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.

The second half of the talk focuses on what can be learned through the application of a (distributed) flexible hydrological model to a catchment where extensive existing fieldwork can be used to independently appraise modelling results. We examine insights into dominant hydrological processes, how they change across the landscape, and how can a hydrologist design modelling experiments to investigate these questions in a systematic and informative manner.

Speaker bio

Dmitri Kavetski is a professor of Civil and Environmental Engineering at the University of Adelaide. He is the main author and developer of the BATEA framework, which provides a platform for model inference and prediction using Bayesian methods. He has also contributed to the FUSE and SUPERFLEX toolkits for building hydrological models. Dmitri's current interests focus on uncertainty quantification and hypothesis testing in hydrology. 

Your co-hosts

Department of Civil & Environmental Engineering
and
Water Institute

Cost 
Free
Location 
E2 - Engineering 2
2350
200 University Avenue West
Waterloo, ON N2L 3G1
Canada

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