EGU General Assembly 2007
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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
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  Information - NP3.05 Uncertainty, Random Dynamical Systems and Stochastic Modeling in Geophysics

Event Information
Understanding and modelling of geophysical phenomena is a still unsolved
challenging task. Methods of nonlinear dynamics constitute the core of modern
Geophysics and prove to be the most effective tool for making quantitative
and qualitative predictions.

In recent decades, deterministic geophysical models have been improved to
incorporate uncertainty and randomness. For example, models of complex
multi-scale climate systems include fast weather components in form of small
random noise. The treatment of such random models require expertise in
non-linear stochastic dynamics, statistics and time series analysis.
One of the central questions in this field is the proper choice of the art of
random input (e.g. Gaussian or non-Gaussian, red or white etc).

Another approach to stochastic modelling of geosystems is based on the study
of statistical (scale) symmetries of the generating equations and is focused
on the study of multifractals.

This session will be devoted to the latest studies of the geophysical
phenomena with methods of nonlinear random dynamical systems.

Preliminary List of Solicited Speakers

AGU Nonlinear Focus Group

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.

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