Regular and chaotic regimes in Saltzman model of glacial climate dynamics under the influence of additive and parametric noise
It is well-known that the climate system, due to its nonlinearity, can be sensitive to stochastic forcing. New types of dynamical regimes caused by the noise-induced transitions are revealed on the basis of the classical climate model previously developed by Saltzman with co-authors and Nicolis. A complete parametric classification of dynamical regimes of this deterministic model is carried out. On the basis of this analysis, the influence of additive and parametric noises is studied. For weak noise, the climate system is localized nearby deterministic attractors. A mixture of the small and large amplitude oscillations caused by noise-induced transitions between equilibria and cycle attraction basins arise with increasing the noise intensity. The portion of large amplitude oscillations is estimated too. The parametric noise introduced in two system parameters demonstrates quite different system dynamics. Namely, the noise introduced in one system parameter increases its dispersion whereas in the other one leads to the stabilization of the climatic system near its unstable equilibrium with transitions from order to chaos. Copyright EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2014
Year of publication: |
2014
|
---|---|
Authors: | Alexandrov, Dmitry V. ; Bashkirtseva, Irina A. ; Fedotov, Sergei P. ; Ryashko, Lev B. |
Published in: |
The European Physical Journal B - Condensed Matter and Complex Systems. - Springer. - Vol. 87.2014, 10, p. 1-10
|
Publisher: |
Springer |
Subject: | Statistical and Nonlinear Physics |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Correlation between centrality metrics and their application to the opinion model
Li, Cong, (2015)
-
Mechanical and statistical study of the laminar hole formation in transitional plane Couette flow
Rolland, Joran, (2015)
-
Google matrix analysis of the multiproduct world trade network
Ermann, Leonardo, (2015)
- More ...