EGU General Assembly 2008
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Nonlinear Processes in Geophysics
Nonlinear Processes: in Geosciences (General)
Dynamical Systems Approaches to Problems in the Geosciences
Scale, scaling and nonlinear variability in geosciences
Chaos and nonlinear time series analysis
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Isotopes in Geosciences: Instrumentation and Applications
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  Information - IS43 - NP4.02/CL55 Statistical analysis of climate time series (co-organized by NP & CL)

Event Information
This session is positioned at the interface between Statistics and Climatology. To have any success chances, the analysis of climate time series has to take into account the uncertainties in the climate system itself and in the measurements, and often also in the proxy quality and the dating. Climate records impose additional difficulties in form of:

(1) non-normal distributions
(2) autocorrelation and, often,
(3) uneven time spacing.

We welcome contributions that address those difficulties, that show a sound statistical basis of the methodology and also demonstrate the feasibility of the method in real-world applications. Methods may include, but are not restricted to:

(1) regression,
(2) correlation,
(3) spectral analysis,
(4) wavelets,
(5) nonlinear dynamical system analysis and
(6) extreme value analysis.

Data may come from:

(1) instrumental observations,
(2) proxy measurements,
(3) historical documents and
(4) climate models.

Solicited speakers:

Preliminary List of Solicited Speakers


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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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