Numerical bifurcation methods applied to climate models: analysis beyond simulation
<p>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...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-10-01
|
Series: | Nonlinear Processes in Geophysics |
Online Access: | https://www.nonlin-processes-geophys.net/26/359/2019/npg-26-359-2019.pdf |
Summary: | <p>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.</p> |
---|---|
ISSN: | 1023-5809 1607-7946 |