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dc.contributor.authorJehn, Florian U
dc.contributor.authorSchneider, Marie
dc.contributor.authorWang, Jason R
dc.contributor.authorKemp, Luke
dc.contributor.authorBreuer, Lutz
dc.date.accessioned2022-05-12T12:00:09Z
dc.date.available2022-05-12T12:00:09Z
dc.date.issued2021-07-29
dc.date.submitted2021-03-08
dc.identifier.othererlac13ef
dc.identifier.otherac13ef
dc.identifier.othererl-111061.r2
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337070
dc.description.abstractAbstract: We compare the probability of different warming rates to their mentions in IPCC reports through text mining. We find that there is a substantial mismatch between likely warming rates and research coverage. 1.5 °C and 2 °C scenarios are substantially overrepresented. More likely higher end warming scenarios of 3 °C and above, despite potential catastrophic impacts, are severely neglected.
dc.languageen
dc.publisherIOP Publishing
dc.subjectLetter
dc.subjecthigher end warming
dc.subjectclimate change
dc.subjectIPCC
dc.subjectexistential risk
dc.titleBetting on the best case: higher end warming is underrepresented in research
dc.typeOther
dc.date.updated2022-05-12T12:00:09Z
prism.issueIdentifier8
prism.publicationNameEnvironmental Research Letters
prism.volume16
dc.identifier.doi10.17863/CAM.84491
dcterms.dateAccepted2021-07-13
rioxxterms.versionofrecord10.1088/1748-9326/ac13ef
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0
dc.contributor.orcidJehn, Florian U [0000-0002-7296-8008]
dc.contributor.orcidWang, Jason R [0000-0002-3854-9635]
dc.contributor.orcidKemp, Luke [0000-0002-3816-564X]
dc.contributor.orcidBreuer, Lutz [0000-0001-9720-1076]
dc.identifier.eissn1748-9326
pubs.funder-project-idBundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung (57526248)


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