Numerical bifurcation methods applied to climate models: analysis beyond simulation

Dijkstra, Henk A.

doi:https://doi.org/10.5194/npg-26-359-2019

Articles | Volume 26, issue 4

https://doi.org/10.5194/npg-26-359-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Centennial issue on nonlinear geophysics: accomplishments...

https://doi.org/10.5194/npg-26-359-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 4

Review article

|

08 Oct 2019

Review article |

| 08 Oct 2019

Numerical bifurcation methods applied to climate models: analysis beyond simulation

Henk A. Dijkstra

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Final revised paper (published on 08 Oct 2019)
Preprint (discussion started on 12 Jun 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'Orbital factors include tides?', Paul Pukite, 21 Jun 2019
- AC1: 'Response RC1', Henk A. Dijkstra, 17 Aug 2019
RC1: 'Review of “Numerical bifurcation methods applied to climate models: Analysis and simulation” by Dijkstra', Anonymous Referee #1, 22 Jun 2019
- AC2: 'Response SC1', Henk A. Dijkstra, 17 Aug 2019
RC2: 'Review of “Numerical bifurcation methods applied to climate models: Analysis and simulation”', Anonymous Referee #2, 30 Jun 2019
- AC3: 'Response RC2', Henk A. Dijkstra, 17 Aug 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Henk A. Dijkstra on behalf of the Authors (27 Aug 2019) Manuscript

ED: Publish subject to technical corrections (29 Aug 2019) by Ana M. Mancho

AR by Henk A. Dijkstra on behalf of the Authors (30 Aug 2019) Manuscript

Short summary

I provide a personal view on the role of bifurcation analysis of climate models in the development of a theory of variability in the climate system. By outlining the state of the art of the methodology and by discussing what has been done and what has been learned from a hierarchy of models, I will argue that there are low-order phenomena of climate variability, such as El Niño and the Atlantic Multidecadal Oscillation.