A stochastic nonlinear oscillator model for glacial millennial-scale climate transitions derived from ice-core data

A stochastic Duffing-type oscillator model, i.e noise-driven motion with inertia in a potential landscape, is considered for glacial millennial-scale climate transitions. The potential and noise parameters are estimated from a Greenland ice-core record using a nonlinear Kalman filter. For the period...

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Bibliographic Details
Published in:Nonlinear Processes in Geophysics
Main Authors: Kwasniok, F., Lohmann, Gerrit
Format: Article in Journal/Newspaper
Language:unknown
Published: COPERNICUS GESELLSCHAFT MBH 2012
Subjects:
Greenland
Greenland ice core
ice core
Online Access:https://epic.awi.de/id/eprint/31458/
https://epic.awi.de/id/eprint/31458/1/npg-19-595-2012.pdf
http://www.nonlin-processes-geophys.net/19/595/2012/npg-19-595-2012.html
https://hdl.handle.net/10013/epic.40244
https://hdl.handle.net/10013/epic.40244.d001
Description
Summary:A stochastic Duffing-type oscillator model, i.e noise-driven motion with inertia in a potential landscape, is considered for glacial millennial-scale climate transitions. The potential and noise parameters are estimated from a Greenland ice-core record using a nonlinear Kalman filter. For the period from 60 to 20 ky before present, a bistable potential with a deep well corresponding to a cold stadial state and a shallow well corresponding to a warm interstadial state is found. The system is in the strongly dissipative regime and can be very well approximated by an effective one-dimensional Langevin equation.

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