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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.
Info autore
Dr. J. Kropp, Senior scientist at PIK, he studied chemistry and physics and in 1992 he took a diploma in theoretical chemistry at the University of Oldenburg. From 1993-1998 he was research fellow at PIK, from 1998-2001 project leader of a research project on costal zone management at the Institute for Chemistry and Biology of the Marine Environment, and from 2001 research analyst and member of staff of the German Advisory Council on Global Change to the Federal Government (WBGU). His research interests are the development of methods for integrated impact assessments, in particular, with respect to vulnerability, risk assessment, and adaptation to climate change and in the context of decision making and various institutional settings.§He leads several European joint projects (e.g. disaster and risk assessment) and has published numerous papers.
Hans J. Schellnhuber ist Gründer und Direktor des Potsdam-Instituts für Klimafolgenforschung und Professor für Theoretische Physik an der Universität Potsdam. Er ist Mitglied in einer Reihe deutscher und internationaler wissenschaftlicher Gremien wie des 2007 mit dem Nobelpreis ausgezeichneten Weltklimarats IPCC und Vorsitzender des Wissenschaftlichen Beirats der Bundesregierung Globale Umweltveränderungen (WBGU).
