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dc.contributor.authorAshwin, P
dc.contributor.authorHeydt, ASVD
dc.date.accessioned2019-10-30T15:36:37Z
dc.date.issued2019-11-13
dc.description.abstractA climate state close to a tipping point will have a degenerate linear response to perturbations, which can be associated with extreme values of the equilibrium climate sensitivity (ECS). In this paper we contrast linearized (`instantaneous') with fully nonlinear geometric (`two-point') notions of ECS, in both presence and absence of tipping points. For a stochastic energy balance model of the global mean surface temperature with two stable regimes, we confirm that tipping events cause the appearance of extremes in both notions of ECS. Moreover, multiple regimes with different mean sensitivities are visible in the two-point ECS. We confirm some of our findings in a physics-based multi-box model of the climate system.en_GB
dc.description.sponsorshipNetherlands Earth System Science Centre (NESSC), financially supported by the Dutch Ministry of Education, Culture and Science (OCW)en_GB
dc.identifier.citationPublished online 13 November 2019en_GB
dc.identifier.doi10.1007/s10955-019-02425-x
dc.identifier.urihttp://hdl.handle.net/10871/39400
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.rights© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.subjectClimate sensitivityen_GB
dc.subjectTipping pointen_GB
dc.subjectEnergy balance modelen_GB
dc.subjectStochastic climate modelen_GB
dc.titleExtreme sensitivity and climate tipping pointsen_GB
dc.typeArticleen_GB
dc.date.available2019-10-30T15:36:37Z
dc.identifier.issn0022-4715
dc.descriptionThis is the final version. Available on open access from Springer Verlag via the DOI in this recorden_GB
dc.identifier.journalJournal of Statistical Physicsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-10-29
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-10-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-10-30T15:34:51Z
refterms.versionFCDAM
refterms.dateFOA2025-03-06T20:31:42Z
refterms.panelBen_GB


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© The Author(s) 2019.
Open Access.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.