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 - NP4.01 Nonlinear time series analysis in the geosciences

Event Information
This session welcomes contributions on novel methods of (especially nonlinear) time series (or, more general, data) analysis and their application to geoscientific observations and/or models. The main aspect is the underlying methodology and how it may help to improve our knowledge about geoscientific processes. Studies linking the analysis of observational records and model data as well as presentations involving multivariate techniques are especially encouraged.

Possible topics include, but are not limited to:

spatio-temporal methods
time-frequency analysis
dimension analysis (in particular, for multivariate data)
nonlinear statistical decomposition
methods for data with uneven sampling or gaps
nonlinear correlation analysis and synchronization
surrogate data techniques
network approaches
nonlinear methods of noise reduction

Preliminary List of Solicited Speakers
William Hsieh, University of British Columbia, Vancouver, Canada
Anastasios Tsonis, University of Wisconsin-Milwaukee, USA

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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