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E2C2-GIACS Advanced

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Extreme Events: Nonlinear Dynamics and Time Series Analysis

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 behaviour 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. The scientists associated with this Advanced School work on the development and use of quantitative research methods for the description, understanding and prediction of extreme events, across a broad range of natural and socio-economic phenomena.

The purpose of this school is to disseminate both theoretical and applied knowledge on extreme events, the dynamics that generates them and the time series that exhibit them, to young scientists: advanced Ph.D. students, post-docs, beginning researchers.

The topics to be covered deal with the dynamics of nonlinear and complex systems, and with temporal and spatio-temporal data sets that may be nonstationary, have very large moments, and relatively few values. Application areas include a broad range of types of extreme eventspecific emphasis on floods, earthquakes, wildfires, landslides, heat waves, droughts, and socio- economic crises.

Directors: Michael Ghil, Philippe Naveau, Pascal Yiou.

3–11 September 2007 - Comorova, Romania


Background image: Hans Ulrich Niedermann  http://n-dimensional.de/