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Quantifying nonlinearity and geometry in time series of climate

, : Quantifying nonlinearity and geometry in time series of climate. Quaternary Science Reviews 15(4): 0-266

Statistical methods provide the opportunity to quantify what are typically qualitative descriptions of climate change. A review of linear and nonlinear processes as applied to time series of climate change is presented. Methods to quantify `nonlinear' climatic events are given, using the late Pleistocene record of glacial-interglacial oscillations as an example. Methods to discriminate climate cycles driven by linear processes from nonlinear processes and to determine the strength of nonlinear interactions are described. The adoption of a quantitative approach to descriptions of climate variability allows direct comparison of geologic and paleoclimatic data to results of models that seek to describe modes of climate oscillations.


DOI: 10.1016/0277-3791(95)00060-7

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