In Extremis

The book addresses a weakness of current methodologies used in extreme value assessment, i. e. the assumption of stationarity, which is not given in reality. With respect to this issue a lot of new developed technologies are presented, i. e. influence of trends vs. internal correlations, quantitative uncertainty assessments, etc. The book not only focuses on artificial time series data, but has a close link to empirical measurements, in order to make the suggested methodologies applicable for practitioners in water management and meteorology.