Numerical bifurcation methods applied to climate models: Analysis beyond simulation

Henk A. Dijkstra*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)359-369
Number of pages11
JournalNonlinear Processes in Geophysics
Volume26
Issue number4
DOIs
Publication statusPublished - 8 Oct 2019

Funding

Financial support. This work was sponsored by the Netherlands Earth System Science Centre (NESSC), financially supported by the Ministry of Education, Culture and Science (OCW (grant no. 024.002.001)).

Fingerprint

Dive into the research topics of 'Numerical bifurcation methods applied to climate models: Analysis beyond simulation'. Together they form a unique fingerprint.

Cite this