2019
DOI: 10.5194/npg-26-359-2019
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Numerical bifurcation methods applied to climate models: analysis beyond simulation

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 d… Show more

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Cited by 12 publications
(10 citation statements)
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“…The recent changes in a range of surface variables that show a relationship between Atlantic multidecadal variability and AMOC are consistent with recent direct estimates of AMOC flow volumes (Sun et al, 2021). The stability of AMOC is very much a matter of debate, but simple and intermediate models produce abrupt phase transitions (Dijkstra, 2019;Johnson et al, 2019), while more complex models produce a wide range of responses, showing high sensitivity to the background state (Johnson et al, 2019).…”
Section: Atlantic Meridional Overturning Circulationsupporting
confidence: 78%
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“…The recent changes in a range of surface variables that show a relationship between Atlantic multidecadal variability and AMOC are consistent with recent direct estimates of AMOC flow volumes (Sun et al, 2021). The stability of AMOC is very much a matter of debate, but simple and intermediate models produce abrupt phase transitions (Dijkstra, 2019;Johnson et al, 2019), while more complex models produce a wide range of responses, showing high sensitivity to the background state (Johnson et al, 2019).…”
Section: Atlantic Meridional Overturning Circulationsupporting
confidence: 78%
“…Complex systems organise at a range of scales that operate by different rules depending on scale, and may be governed by an overall organising principle. Small-world network behaviour is one example (Watts and Strogatz, 1998;Latora and Marchiori, 2001;Donges et al, 2009) and attractors in the climate system another (Nicolis and Nicolis, 1986;Dijkstra, 2019;Faranda et al, 2019). This is the first of two papers that looks at climate through a complex systems lens, exploring how it has evolved since the pre-industrial era.…”
Section: Introductionmentioning
confidence: 99%
“…Similar issues accompany thermodynamic and dynamic approaches to understanding climate variability (Palmer, 2013;Wehrli et al, 2018;Ghil and Lucarini, 2020), and the role of entropy in the climate system (Ozawa et al, 2003;Kleidon, 2009;Nicolis and Nicolis, 2010;. Dijkstra (2019) summarises the challenges of dealing explicitly with emergence in model studies of complex system behaviour. Finding the appropriate level where specific phenomena emerge is vital.…”
Section: Model Underdeterminationmentioning
confidence: 99%
“…Recent examples include a review of power laws and scaling on climate variability (Franzke et al, 2020), bifurcation analysis looking at climate oscillations (Dijkstra, 2019), statistical mechanics of climate .…”
Section: Climate Approached As a Complex Dynamic Systemmentioning
confidence: 99%
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