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 |
| id |
doaj-0570b679e3ca4f268e400ce470a20f60 |
|---|---|
| record_format |
Article |
| spelling |
doaj-0570b679e3ca4f268e400ce470a20f602020-11-25T00:07:12ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462019-10-012635936910.5194/npg-26-359-2019Numerical bifurcation methods applied to climate models: analysis beyond simulationH. A. Dijkstra0H. A. Dijkstra1H. A. Dijkstra2Institute for Marine and Atmospheric research Utrecht, Department of Physics, Utrecht University, Utrecht, the NetherlandsCentre for Complex Systems Studies, Utrecht University, Utrecht, the Netherlands Invited contribution by Henk A. Dijkstra, recipient of the EGU Lewis Fry Richardson Medal 2005. <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>https://www.nonlin-processes-geophys.net/26/359/2019/npg-26-359-2019.pdf |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
H. A. Dijkstra H. A. Dijkstra H. A. Dijkstra |
| spellingShingle |
H. A. Dijkstra H. A. Dijkstra H. A. Dijkstra Numerical bifurcation methods applied to climate models: analysis beyond simulation Nonlinear Processes in Geophysics |
| author_facet |
H. A. Dijkstra H. A. Dijkstra H. A. Dijkstra |
| author_sort |
H. A. Dijkstra |
| title |
Numerical bifurcation methods applied to climate models: analysis beyond simulation |
| title_short |
Numerical bifurcation methods applied to climate models: analysis beyond simulation |
| title_full |
Numerical bifurcation methods applied to climate models: analysis beyond simulation |
| title_fullStr |
Numerical bifurcation methods applied to climate models: analysis beyond simulation |
| title_full_unstemmed |
Numerical bifurcation methods applied to climate models: analysis beyond simulation |
| title_sort |
numerical bifurcation methods applied to climate models: analysis beyond simulation |
| publisher |
Copernicus Publications |
| series |
Nonlinear Processes in Geophysics |
| issn |
1023-5809 1607-7946 |
| publishDate |
2019-10-01 |
| description |
<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> |
| url |
https://www.nonlin-processes-geophys.net/26/359/2019/npg-26-359-2019.pdf |
| work_keys_str_mv |
AT hadijkstra numericalbifurcationmethodsappliedtoclimatemodelsanalysisbeyondsimulation AT hadijkstra numericalbifurcationmethodsappliedtoclimatemodelsanalysisbeyondsimulation AT hadijkstra numericalbifurcationmethodsappliedtoclimatemodelsanalysisbeyondsimulation |
| _version_ |
1725419494009995264 |