Information - NP4.01 Analysis of Geoscientific Measurement Data with Techniques Originated in Nonlinear Dynamics
Over the last few decades, approaches from the theory of (nonlinear) dynamical systems have expanded into techniques of analyzing time series and spatio-temporal patterns. The enormous variety of new approaches and concepts, including time-frequency analysis, synchronization analysis, recurrence analysis and their further developments to characterize spatio-temporal dynamics has led to an overwhelming 'toolbox' for the evaluation of structures in observed time series. This session is intended to present, discuss, and compare these concepts with respect to both theoretical aspects and applications to geoscientific data. We encourage submissions on the strengths and weaknesses of the respective methods, particularly in the context of (geo-)scientists who are interested in learning about these non-traditional methods. The session is open for contributions about any of these approaches as applied to geoscientific measurements and we particularly encourage contributions that discuss how to cope with the awkward properties of geoscientific measurements such as unevenly spaced, noisy or very short data sets.
Preliminary List of Solicited Speakers
Richard Telford, Bjerknes Center for Climate Research (Norway)
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