At the EGU General Assembly 2018 in Vienna, “Hydroinformatics for hydrology” short course (SC) was run for the fourth time. The previous themes of the SC were data-driven and hybrid techniques, data assimilation, and geostatistical modelling. And this year the focus was extreme value modelling. Participants of the SC were given 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 were also introduced. Thanks to Hugo’s excellent lecture, we now know common issues and pitfalls in using extreme value models (i.e. modelling choices and assumptions). We would like to thank Dr. Hugo Winter from EDF Energy for delivering the lecture. You can find his lecture slides (and exercises) here:
@hugocwinter giving an excellent lecture on extreme value modelling as part of the #EGU18 @YoungHydrology short course “Hydroinformatics for Hydrology”. We are in room -2.85 (brown level)! pic.twitter.com/viO3430tSs
— Nilay Dogulu (@DoguluNilay) April 9, 2018
In December 2017, Patricia Gonzalez and her colleagues published a paper on a novel water demand system dynamics model that integrates social and structural drivers of water conservation in WRR. We asked her a couple of questions.
