Past warming trend constrains future warming in CMIP6 models.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 23 10 2019
accepted: 09 01 2020
entrez: 25 3 2020
pubmed: 25 3 2020
medline: 25 3 2020
Statut: epublish

Résumé

Future global warming estimates have been similar across past assessments, but several climate models of the latest Sixth Coupled Model Intercomparison Project (CMIP6) simulate much stronger warming, apparently inconsistent with past assessments. Here, we show that projected future warming is correlated with the simulated warming trend during recent decades across CMIP5 and CMIP6 models, enabling us to constrain future warming based on consistency with the observed warming. These findings carry important policy-relevant implications: The observationally constrained CMIP6 median warming in high emissions and ambitious mitigation scenarios is over 16 and 14% lower by 2050 compared to the raw CMIP6 median, respectively, and over 14 and 8% lower by 2090, relative to 1995-2014. Observationally constrained CMIP6 warming is consistent with previous assessments based on CMIP5 models, and in an ambitious mitigation scenario, the likely range is consistent with reaching the Paris Agreement target.

Identifiants

pubmed: 32206725
doi: 10.1126/sciadv.aaz9549
pii: aaz9549
pmc: PMC7080456
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eaaz9549

Informations de copyright

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

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Auteurs

Katarzyna B Tokarska (KB)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Martin B Stolpe (MB)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Sebastian Sippel (S)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Erich M Fischer (EM)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Christopher J Smith (CJ)

Priestley International Centre for Climate, University of Leeds, Leeds LS2 9JT, UK.

Flavio Lehner (F)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Reto Knutti (R)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Classifications MeSH