1994
DOI: 10.1007/bf02083118
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Plio-/Pleistocene climate modeling based on oxygen isotope time series from deep-sea sediment cores: The Grassberger-Procaccia algorithm and chaotic climate systems

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Cited by 31 publications
(5 citation statements)
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“…Quoted ages were corrected corresponding to an actual magnetostratigraphic timescale (Brunhes/Matuyama"778 ka; Singer and Pringle 1996), Top Jaramillo"915 ka (Spell and McDougall 1992), Base Jaramillo"1010 ka (Spell and McDougall 1992), Cobb Mountain" 1172 ka (Spell and McDougall 1992;Turrin et al 1994) Method: wavelet analysis The Grassberger-Procaccia algorithm, another tool for analyzing nonlinear dynamic systems, was applied to oxygen isotope records in order to estimate the dimension of the Plio-/Pleistocene climate system (Mudelsee and Stattegger 1994;Mudelsee 1995). The limited amount of data (less than ca.…”
Section: Introductionmentioning
confidence: 99%
“…Quoted ages were corrected corresponding to an actual magnetostratigraphic timescale (Brunhes/Matuyama"778 ka; Singer and Pringle 1996), Top Jaramillo"915 ka (Spell and McDougall 1992), Base Jaramillo"1010 ka (Spell and McDougall 1992), Cobb Mountain" 1172 ka (Spell and McDougall 1992;Turrin et al 1994) Method: wavelet analysis The Grassberger-Procaccia algorithm, another tool for analyzing nonlinear dynamic systems, was applied to oxygen isotope records in order to estimate the dimension of the Plio-/Pleistocene climate system (Mudelsee and Stattegger 1994;Mudelsee 1995). The limited amount of data (less than ca.…”
Section: Introductionmentioning
confidence: 99%
“…Unevenly spaced time series of δ 18 O and δ 13 C were interpolated by the Akima splines method 66 . Akima is one of the most common, useful, and effective methods to interpolate unevenly spaced paleoclimate time series 67 , 68 . However, we have corroborated whether this interpolation method works properly with our data comparing the interpolated time series with the original unevenly spaced time series, and the differences are negligible.…”
Section: Methodsmentioning
confidence: 99%
“…Due to their usually rather coarse temporal resolution with an uneven sampling and the uncertainties of both the measured data and the applied age model, an appropriate analysis requires some especially sophisticated methods. Traditional approaches of time series analysis can thus hardly be applied to such data, which was demonstrated for fractal dimensions estimated with the Grassberger-Procaccia algorithm (Grassberger and Procaccia, 1983) for some marine isotopic records (Mudelsee and Stattegger, 1994).…”
Section: Methodsmentioning
confidence: 99%