EGU General Assembly 2007
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  List of Accepted Contributions - NP4.02 Statistical analysis of paleoclimate time series (co-listed in CL)

Please, click Abstract Number to find the corresponding abstract as PDF file; if necessary, download Adobe Acrobat Reader 4.0 first to open the file. Any abstract may be freely reproduced for non-commercial, scientific purposes; however, the moral right of the author(s) to be identified as the author(s) of such abstracts is asserted.

Divine, D.; Godtliebsen, F.
Bayesian modeling and significant features exploration in wavelet power spectra

Divine, D.; Polzehl, J.; Godtliebsen, F.
A propagation-separation approach to estimating the autocorrelation in a time-series

Juillet-Leclerc, A.; Thiria, S.
Neural Networks applied on multi-proxies from coral skeleton

Yiou, P.
Bivariate multiscale analysis of paleoclimate records

Batista, D.; Naveau, P.; Ammann, C.
An Automatic and Multivariate Statistical Algorithm to Extract Common Pulse-Like Forcing Factors in Climatic Multivariate Time Series

Van De Wiel, M.J.
Quantitative comparison of trends in palaeo-environmental time series

Fischer, M.; Fink, D.
A piecewise continuous regression analysis of del 18-O Antarctic ice-core records to identify trends and timing of climate behaviour.

Koutsoyiannis, D.; Efstratiadis, A. ; Georgakakos , K. P.
A stochastic methodological framework for uncertainty assessment of hydroclimatic predictions

Donner, R.; Witt, A.
Qualitative Characterization of Long-Term Climate Change recorded in Palaeoclimatic Time Series by Multivariate Dimension Estimates and their Univariate Analogs

Donner, R.
Testing the Consistency of a 1470-years Periodic Component in Polar Ice Cores by Means of Phase Coherence Analysis

Maraun, D.; Kurths, J.; Holschneider, M.
An areawise significance test for wavelet spectral analysis - including a software package of the test, applications to climatological time series are shown.

Riedwyl, N.; Luterbacher, J.; Wanner, H.
Improved climate field reconstruction techniques: Application to Europe

Prasad, S.; Brauer, A.; Witt, A.; Yancheva, G.
Microfacies analyses of lake sediments provides information on changing seasonal precipitation patterns during the 8.2 ka event

Marwan, N.; Breitenbach, S.
Can nonlinear data analysis help to understand climate changes in Asia during the Holocene?

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