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dc.contributor.authorEngler, Hansen_US
dc.contributor.authorKaper, Hans G.en_US
dc.contributor.authorKaper, Tasso J.en_US
dc.contributor.authorVo, Theodoreen_US
dc.date2017-10-10
dc.date.accessioned2018-05-18T13:27:59Z
dc.date.available2018-05-18T13:27:59Z
dc.identifierhttp://arxiv.org/abs/1705.07387v1
dc.identifier.citationHans Engler, Hans G Kaper, Tasso J Kaper, Theodore Vo. "Modeling the Dynamics of Glacial Cycles", Book Chapter in: Mathematics of Planet Earth, Springer, ed. F. Roberts.
dc.identifier.urihttps://hdl.handle.net/2144/28962
dc.description.abstractThis article is concerned with the dynamics of glacial cycles observed in the geological record of the Pleistocene Epoch. It focuses on a conceptual model proposed by Maasch and Saltzman [J. Geophys. Res.,95, D2 (1990), pp. 1955-1963], which is based on physical arguments and emphasizes the role of atmospheric CO2 in the generation and persistence of periodic orbits (limit cycles). The model consists of three ordinary differential equations with four parameters for the anomalies of the total global ice mass, the atmospheric CO2 concentration, and the volume of the North Atlantic Deep Water (NADW). In this article, it is shown that a simplified two-dimensional symmetric version displays many of the essential features of the full model, including equilibrium states, limit cycles, their basic bifurcations, and a Bogdanov-Takens point that serves as an organizing center for the local and global dynamics. Also, symmetry breaking splits the Bogdanov-Takens point into two, with different local dynamics in their neighborhoods.en_US
dc.subjectMathematicsen_US
dc.subjectDynamical systemsen_US
dc.subjectGlacial cyclesen_US
dc.titleModeling the dynamics of glacial cyclesen_US
dc.typeArticleen_US
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Mathematics & Statisticsen_US
pubs.publication-statusAccepteden_US


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