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
Co-Sponsorship
AGU Nonlinear Focus Group
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