Information - NP4.02 Spatio-temporal data analysis in geosciences
Event Information
Over the last decades new methods of data analysis basing on nonlinear dynamical system theory have been worked out. Recently developed concepts concerning spacio-temporal time series analysis enable the characterization of complex subsystems of the Earth's dynamics.
This session is intended to present, discuss and compare these methods with respect to both theoretical and applied aspects.
Points of interest are for example synchronization between spatially extended subsystems or attempts to quantify the predictability of spatio-temporal patterns in geophysical data.
The enormous variety of new (also nonlinear) methods for data analysis, such as
DFA (detrended fluctuation analysis), Wavelets, Coherence Analysis, Synchronization analysis, RPs (Recurrence Plots) etc., on the one hand and new/improved theoretical concepts (characteristics of networks) have led to an overwhelming "toolbox" for the evaluation of structures in observed time series.
This session is intended to report advantages and disadvantages of these methods
to scientists who are interested in learning about new and powerful methods
for the analysis of their data.
Contributions about these new methods and about their application to
geophysical (multivariate, spacio-temporal) time series are highly welcome.
A further point of interest is the modeling of these spatio-temporal patterns,
and a comparison of model and data.
Scientists working in either of these fields are encouraged to contribute
actively to this session.
Preliminary List of Solicited Speakers
Co-Sponsorship
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