R. K. Kaufmann and K. Juselius
We use a statistical model, the cointegrated vector autoregressive model, to assess the degree to which variations in Earth's orbit and endogenous climate dynamics can be used to simulate glacial cycles during the late Quaternary (390 kyr–present). To do so, we estimate models of varying complexity and compare the accuracy of their in-sample simulations. Results indicate that strong statistical associations between endogenous climate variables are not enough for statistical models to reproduce glacial cycles. Rather, changes in solar insolation associated with changes in Earth's orbit are needed to simulate glacial cycles accurately. Also, results suggest that non-linear dynamics, threshold effects, and/or free oscillations may not play an overriding role in glacial cycles.
Received: 22 Mar 2010 – Discussion started: 20 Apr 2010
Publisher's note : Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
R. K. Kaufmann and K. Juselius
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Status: closed
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Status: closed
Status: closed
AC : Author comment | RC : Referee comment | SC : Short comment | EC : Editor comment
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R. K. Kaufmann and K. Juselius
R. K. Kaufmann and K. Juselius
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