The role of stochastic noise in climate dynamics inferred from paleoclimatic time series

Peter Ditlevsen

University of Copenhagen, Centre for Ice and Climate, Niels Bohr Institute, Copenhagen, Denmark

The paleoclimatic reconstructions mostly rely on long time series of proxies, representing the climatic variations at a given location. They thus contain signals of both local and global dynamics. In order to extract information on the underlying complex behavior of the climate system various filtering techniques and statistical analysis has been applied. Three analysis on ice core and the ocean sediment record will be presented. Firstly, the separation between fast and slow components in the climate system will be demonstrated. Secondly, a very high resolution record will be analyzed showing a Levy-flight type of behavior in the glacial climate. Thirdly, the bifurcation structure of Pleistocene ice age cycles will be extracted from the record, determining the influence of the changes in Earth's orbital parameters (Milankovitch cycles) on the climate.

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