Information - NP4.01 Nonlinear time series analysis in the geosciences
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
The oral and poster sessions will be complemented by short presentations of accepted posters in a separate splinter meeting before the poster session and by an informal discussion forum on perspectives in geoscientific time series analysis.
Preliminary List of Solicited Speakers
Douglas Maraun, Climatic Research Unit (University of East Anglia, Norwich, UK): "Wavelet Myths Demystified"
Christian Anderson, Scripps Institution of Oceanography (San Diego, USA): "Nonlinear forecast tools determine how much 'ecosystem' is needed for Ecosystem Based Management" (KRTA receipient)
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