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SC1.20/HS12.3 ECS

Hydroinformatics for Hydrology: extreme value modelling (co-organized)
Convener: Nilay Dogulu  | Co-Conveners: Harsh Beria , Maurizio Mazzoleni , Hannes Müller-Thomy 
Mon, 09 Apr, 13:30–15:00

Analysis of extreme hydro-meteorological events has been receiving critical attention from many hydrologists and meteorologists due to the pressing need to predict hydrological extremes such as floods and droughts. Extreme value theory has been widely used for statistical modelling of extreme values in geosciences, especially in hydrology. The aim of this short course is to provide a state-of-the-science overview of different aspects in extreme value analysis along with relevant case studies. Available R functions for extreme value analysis will be also introduced. 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 common issues and pitfalls in using extreme value models (i.e. modelling choices and assumptions) for hydrological research. It is essential that the participants have an intermediate level of skills and knowledge in statistical hydrology.

We are delighted to announce Dr. Hugo Winter ( from EDF Energy in the UK as the lecturer of this short course.

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. For any additional information, please contact the conveners.

In cooperation with the Young Hydrologic Society (