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dc.contributor.authorvan de Wal, Roderik S.W.
dc.contributor.authorNicholls, Robert J.
dc.contributor.authorBehar, David
dc.contributor.authorMcInnes, K.
dc.contributor.authorStammer, Detlef
dc.contributor.authorLowe, Jason A.
dc.contributor.authorChurch, John A.
dc.contributor.authorDeConto, Robert M.
dc.contributor.authorFettweis, Xavier
dc.contributor.authorGoelzer, Heiko
dc.contributor.authorHaasnoot, M.
dc.contributor.authorHaigh, I.
dc.contributor.authorHinkel, Jochen
dc.contributor.authorHorton, Ben
dc.contributor.authorJames, T.S.
dc.contributor.authorJenkins, Adrian
dc.contributor.authorLeCozannet, G.
dc.contributor.authorLevermann, Anders
dc.contributor.authorLipscomb, William H.
dc.contributor.authorMarzeion, Ben
dc.contributor.authorPattyn, Frank
dc.contributor.authorPayne, Anthony J.
dc.contributor.authorPfeffer, Ted
dc.contributor.authorPrice, S.
dc.contributor.authorSeroussi, Hélène
dc.contributor.authorSun, Sainan
dc.contributor.authorVeatch, W.
dc.contributor.authorWhite, K.
dc.date.accessioned2022-11-11T08:42:14Z
dc.date.available2022-11-11T08:42:14Z
dc.date.created2022-11-02T17:24:02Z
dc.date.issued2022
dc.identifier.citationEarth's Future. 2022, 10 (11), .en_US
dc.identifier.issn2328-4277
dc.identifier.urihttps://hdl.handle.net/11250/3031321
dc.description.abstractSea level rise (SLR) is a long-lasting consequence of climate change because global anthropogenic warming takes centuries to millennia to equilibrate for the deep ocean and ice sheets. SLR projections based on climate models support policy analysis, risk assessment and adaptation planning today, despite their large uncertainties. The central range of the SLR distribution is estimated by process-based models. However, risk-averse practitioners often require information about plausible future conditions that lie in the tails of the SLR distribution, which are poorly defined by existing models. Here, a community effort combining scientists and practitioners builds on a framework of discussing physical evidence to quantify high-end global SLR for practitioners. The approach is complementary to the IPCC AR6 report and provides further physically plausible high-end scenarios. High-end estimates for the different SLR components are developed for two climate scenarios at two timescales. For global warming of +2°C in 2100 (RCP2.6/SSP1-2.6) relative to pre-industrial values our high-end global SLR estimates are up to 0.9 m in 2100 and 2.5 m in 2300. Similarly, for a (RCP8.5/SSP5-8.5), we estimate up to 1.6 m in 2100 and up to 10.4 m in 2300. The large and growing differences between the scenarios beyond 2100 emphasize the long-term benefits of mitigation. However, even a modest 2°C warming may cause multi-meter SLR on centennial time scales with profound consequences for coastal areas. Earlier high-end assessments focused on instability mechanisms in Antarctica, while here we emphasize the importance of the timing of ice shelf collapse around Antarctica. This is highly uncertain due to low understanding of the driving processes. Hence both process understanding and emission scenario control high-end SLR.en_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA high-end estimate of sea-level rise for practitionersen_US
dc.title.alternativeA high-end estimate of sea-level rise for practitionersen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holder© The Authors 2022en_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1029/2022EF002751
dc.identifier.cristin2068246
dc.source.journalEarth's Futureen_US
dc.source.volume10en_US
dc.source.issue11en_US
dc.source.pagenumber24en_US
dc.relation.projectSigma2: NS8085Ken_US
dc.relation.projectNorges forskningsråd: 270061en_US
dc.relation.projectSigma2: NS9560Ken_US
dc.relation.projectSigma2: NS9252Ken_US
dc.relation.projectSigma2: NS8006Ken_US
dc.relation.projectNorges forskningsråd: 324639en_US
dc.relation.projectSigma2: NS5011Ken_US
dc.relation.projectNorges forskningsråd: 295046en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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