Analysis of uncertainty has been one of the overarching themes of hydrology research. With ever increasing need for quantification and communication of uncertainty, uncertainty analysis is a fundamental part of any modelling study in hydrology, e.g. flood forecasting. This short course aims to provide a state-of-the-science overview of different approaches to analysis and modelling of uncertainty. The primary focus will be given to methods in the hydro-meteorological domain.

We kindly invite early career hydrologic researchers (MSc students, PhD candidates, post-doctoral researchers) to attend this short course designed to address fundamentals of most widely adopted approaches for uncertainty analysis.

This will be the fifth year that the Hydroinformatics for Hydrology short course is run. The previous themes of the course were data-driven and hybrid techniques, data assimilation, geostatistical modelling and extreme value modelling.

Please note that a pre-registration is not necessary. The course will be open to a limited number of participants selected on a first come-first served basis.

We are delighted to announce Dr. Francesca Pianosi from University of Bristol as the lecturer of this short course.

For any additional information, please contact the conveners. In cooperation with the Young Hydrologic Society (http://younghs.com/).