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  Constrained basin stability for studying transient phenomena in dynamical systems

Kan, A. v., Jegminat, J., Donges, J. F., Kurths, J. (2016): Constrained basin stability for studying transient phenomena in dynamical systems. - Physical Review E, 93, 042205.
https://doi.org/10.1103/PhysRevE.93.042205

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 Creators:
Kan, A. van1, Author
Jegminat, J.1, Author
Donges, Jonathan Friedemann2, Author              
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Transient dynamics are of large interest in many areas of science. Here, a generalization of basin stability (BS) is presented: constrained basin stability (CBS) that is sensitive to various different types of transients arising from finite size perturbations. CBS is applied to the paradigmatic Lorenz system for uncovering nonlinear precursory phenomena of a boundary crisis bifurcation. Further, CBS is used in a model of the Earth's carbon cycle as a return time-dependent stability measure of the system's global attractor. Both case studies illustrate how CBS's sensitivity to transients complements BS in its function as an early warning signal and as a stability measure. CBS is broadly applicable in systems where transients matter, from physics and engineering to sustainability science. Thus CBS complements stability analysis with BS as well as classical linear stability analysis and will be a useful tool for many applications.

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 Dates: 2016
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevE.93.042205
PIKDOMAIN: Earth System Analysis - Research Domain I
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 7179
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Planetary Boundaries
Research topic keyword: Tipping Elements
Model / method: Nonlinear Data Analysis
Organisational keyword: FutureLab - Earth Resilience in the Anthropocene
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Whole Earth System Analysis
Working Group: Network- and machine-learning-based prediction of extreme events
 Degree: -

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Title: Physical Review E
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 93 Sequence Number: 042205 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150218