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  Tipping in an adaptive climate network model

Bdolach, T., Kurths, J., Yanchuk, S. (2025): Tipping in an adaptive climate network model. - Chaos, 35, 5, 053157.
https://doi.org/10.1063/5.0256156

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Bdolach, T.1, Author
Kurths, Jürgen2, Author           
Yanchuk, Serhiy2, Author                 
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: With rising global temperatures, Earth’s tipping elements are becoming increasingly more vulnerable to crossing their critical thresholds. The reaching of such tipping points does not only impact other tipping elements through their connections but can also have further effect on the global mean surface temperature (GMT) itself, either increasing or decreasing the probability of further tipping points being reached. Recently, a numerical study analyzing the risk of tipping cascades has been conducted, using a conceptual model describing the dynamics of a tipping element with its interactions with other tipping elements taken into account [N. Wunderling, J. F. Donges, J. Kurths, and R. Winkelmann, Earth Syst. Dyn. 12, 601–619 (2021)]. Here, we extend the model substantially by including adaptation so that the GMT feedback induced by the crossing of a tipping point is incorporated as well. We find that although the adaptive mechanism does not impact the risk for the occurrence of tipping events, large tipping cascades are less probable due to the negative GMT feedback of the ocean circulation systems. Furthermore, several tipping elements can play a different role in cascades in the adaptive model. In particular, the Amazon rainforest could be a trigger in a tipping cascade. Overall, the adaptation mechanism tends to slightly stabilize the network.

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Language(s): eng - English
 Dates: 2025-05-272025-05-27
 Publication Status: Finally published
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0256156
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Atmosphere
Research topic keyword: Complex Networks
Research topic keyword: Planetary Boundaries
OATYPE: Hybrid Open Access
 Degree: -

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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 35 (5) Sequence Number: 053157 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)