Abstract
Abstract. In this special issue contribution, I provide a personal view on
the role of bifurcation analysis of climate models in the development
of a theory of climate system variability. The state of the art of
the methodology is shortly outlined, and the main part of the paper
deals with examples of what has been done and what has been learned.
In addressing these issues, I will discuss the role of a hierarchy of
climate models, concentrate on results for spatially extended
(stochastic) models (having many degrees of freedom) and
evaluate the importance of these results for a theory of climate system
variability.
Reference68 articles.
1. Abraham, R. and Shaw, C.: Dynamics: The Geometry of Behavior, Addison-Wesley, Redwood City, California, USA, 1992. a
2. Ashwin, P., Wieczorek, S., Vitolo, R., and Cox, P.: Tipping points in open systems: bifurcation, noise-induced and rate-dependent examples in the climate system, Philos. T. Roy. Soc. A, 370, 1166–1184, 2012. a
3. Baars, S., Viebahn, J. P., Mulder, T. E., Kuehn, C., Wubs, F. W., and Dijkstra, H. A.: Continuation of probability density functions using a generalized Lyapunov approach, J. Comput. Phys., 336, 627–643, 2017. a, b, c
4. Berloff, P. S., Hogg, A. M., and Dewar, W. K.: The turbulent oscillator: a mechanism of low-frequency variability of the wind-driven ocean gyres, J. Phys. Oceanogr., 37, 2362–2386, 2007. a
5. Castellana, D., Wubs, F., and Dijkstra, H.: A statistical significance test for sea-level variability, Dynamics and Statistics of the Climate System, 3, dzy008, https://doi.org/10.1093/climsys/dzy008, 2018. a
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献