EGU General Assembly 2007
Session Programme Meeting Programme Personal Programme Search
 
Quick Search
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 - 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

Co-Sponsorship
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.



Back to Session Programme

 
 
 
 


©2002-2008 Copernicus Systems + Technology GmbH