Show simple item record

dc.contributor.authorKaufmann, Robert K.en_US
dc.contributor.authorPretis, Felixen_US
dc.date.accessioned2020-06-05T13:44:46Z
dc.date.available2020-06-05T13:44:46Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/2144/41127
dc.description.abstractWe find a consistent relation between orbital geometry and components of the climate system by returning to Milankovitch’s original hypothesis and focusing on the well-established physical concepts of an equilibrium state, disequilibrium from that state, and adjustment towards equilibrium. These mechanisms imply that the state of the climate system at any time depends on; (1) the state of the climate system in the previous period, (2) the degree to which this previous state is out-of-equilibrium with orbital geometry, and (3) the rate at which the climate system adjusts towards equilibrium. We evaluate this explanation by running experiments with a statistical model of climate that explicitly represents equilibria among variables and their movements towards equilibrium. Results indicate that; (1) skipped obliquity/precession beats are an artifact of ignoring adjustments towards an equilibrium state, (2) accounting for equilibrium and adjustments to equilibrium can account for all phases of the glacial cycle, and (3) glacial cycles are generated by adjustments to equilibrium relations between orbital geometry and climate and among components of the climate system. Together, these results suggest a new approach to understanding glacial cycles that is based on models which include a rich set of equilibria and adjustments to equilibria for a full suite of climate variables simulated over long periods.en_US
dc.language.isoen_US
dc.rightsThis dataset is in the public domain, Creative Commons CC0 1.0 Universal.en_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.titleData for: Understanding glacial cycles: a multivariate disequilibrium approachen_US
dc.typeDataseten_US


This item appears in the following Collection(s)

Show simple item record

This dataset is in the public domain, Creative Commons CC0 1.0 Universal.
Except where otherwise noted, this item's license is described as This dataset is in the public domain, Creative Commons CC0 1.0 Universal.