In Extremis

Beschreibung

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.
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.
Important book on climate changes and extreme events in hydrology and weather Based on extensive observations of extreme weather and new theoretical climate models A valuable source for meteorologists, hydrologists, and environmental scientists as well as people having responsibilities in environmental politics Includes supplementary material: sn.pub/extras

Autor*in

Jürgen Kropp

Themen in »In Extremis«

Bootstrapping Correlations Extreme value assessment Instationarity Trend analysis climate change impacts hydrogeology

Stimmen zu »In Extremis«

Details

Link teilen