EGU General Assembly 2007

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	Quick Search Title + Author Title Author Abstract Number Schedule Number Nonlinear Processes in Geosciences Nonlinear Processes:in Geosciences NP2 Empirical Modeling NP3 Scale, Scaling and Nonlinear Variability NP4 Nonlineaar time-series analysis NP5 Predictability NP6 Turbulence and Nonlinear Waves co-listed sessions Programme Groups Great Debates Union Symposia Educational Symposia Atmospheric Sciences Biogeosciences Climate: Past, Present, Future Cryospheric Sciences Energy, Resources and the Environment Geochemistry, Mineralogy, Petrology & Volcanology Geodesy Geodynamics Geomorphology Geosciences Instrumentation and Data Systems Hydrological Sciences Isotopes in Geosciences: Instrumentation and Applications Magnetism, Palaeomagnetism, Rock Physics & Geomaterials Natural Hazards Nonlinear Processes in Geosciences Ocean Sciences Planetary and Solar System Sciences Seismology Soil System Sciences Solar-Terrestrial Sciences Stratigraphy, Sedimentology and Palaeontology Tectonics and Structural Geology Medal Lectures EGU Short Courses Keynote Lectures Townhall Meetings Division Business Meetings Editorial Board Meetings Union Meetings Splinter Meetings Forums   Information - NH8.01/NP4.04 Extreme Events: Causes and Consequences (E2-C2) (co-organized by NH & NP ) (co-listed in GM) Event Information Extreme events are a key manifestation of complex systems in both the natural and human world. Their economic and social consequences are a matter of enormous concern. Much of science has concentrated, until recently, on understanding the mean behavior of physical, biological or social systems and their "normal" variability. Extreme events, due to their rarity, have been hard to study and even harder to predict. In this session we seek contributions related to the description, understanding and prediction of these Extreme Events across a range of natural and socio-economic phenomena. Contributions might include (a) general tools to extract the distribution of extreme events from existing data sets, (b) models for extreme events anchored in complex-systems concepts, particularly that incorporate a priori knowledge about the phenomena and reproduce the data-derived distribution of events, (c) extreme event models to predict the likelihood of extreme events in prescribed time intervals. We foresee a very lively oral and poster sessions, with several key invited speakers, and welcome all extreme event contributions in this session. Preliminary List of Solicited Speakers Co-Sponsorship General Statement The information contained hereafter has been compiled and uploaded by the Session Organizers via the "Organizer Session Form". The Session Organizers have therefore the sole responsibility that this information is true and accurate at the date of publication, and the conference organizer cannot accept any legal responsibility for any errors or omissions that may be made, and he makes no warranty, expressed or implied, with regard to the material published. Back to Session Programme

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