Prolonged Siberian heat of 2020 almost impossible without human influence.

Extreme Event Attribution Extremes Heatwave Multi-model Rapid attribution Siberia

Journal

Climatic change
ISSN: 0165-0009
Titre abrégé: Clim Change
Pays: Netherlands
ID NLM: 101087507

Informations de publication

Date de publication:
2021
Historique:
received: 20 08 2020
accepted: 25 02 2021
entrez: 1 11 2021
pubmed: 2 11 2021
medline: 2 11 2021
Statut: ppublish

Résumé

Over the first half of 2020, Siberia experienced the warmest period from January to June since records began and on the 20th of June the weather station at Verkhoyansk reported 38 °C, the highest daily maximum temperature recorded north of the Arctic Circle. We present a multi-model, multi-method analysis on how anthropogenic climate change affected the probability of these events occurring using both observational datasets and a large collection of climate models, including state-of-the-art higher-resolution simulations designed for attribution and many from the latest generation of coupled ocean-atmosphere models, CMIP6. Conscious that the impacts of heatwaves can span large differences in spatial and temporal scales, we focus on two measures of the extreme Siberian heat of 2020: January to June mean temperatures over a large Siberian region and maximum daily temperatures in the vicinity of the town of Verkhoyansk. We show that human-induced climate change has dramatically increased the probability of occurrence and magnitude of extremes in both of these (with lower confidence for the probability for Verkhoyansk) and that without human influence the temperatures widely experienced in Siberia in the first half of 2020 would have been practically impossible. The online version contains supplementary material available at 10.1007/s10584-021-03052-w.

Identifiants

pubmed: 34720262
doi: 10.1007/s10584-021-03052-w
pii: 3052
pmc: PMC8550097
doi:

Types de publication

Journal Article

Langues

eng

Pagination

9

Informations de copyright

© Crown 2021.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare no competing interests.

Références

Annu Rev Public Health. 2008;29:41-55
pubmed: 18031221
J Adv Model Earth Syst. 2019 Apr;11(4):998-1038
pubmed: 32742553
Proc Natl Acad Sci U S A. 2020 Aug 18;117(33):19656-19657
pubmed: 32747549

Auteurs

Andrew Ciavarella (A)

Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB UK.

Daniel Cotterill (D)

Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB UK.

Peter Stott (P)

Met Office Hadley Centre, FitzRoy Road, Exeter, EX1 3PB UK.

Sarah Kew (S)

Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands.

Sjoukje Philip (S)

Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands.

Geert Jan van Oldenborgh (GJ)

Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands.

Amalie Skålevåg (A)

Deutscher Wetterdienst (DWD), Güterfelder Damm 87-91, 14532 Stahnsdorf, Germany.

Philip Lorenz (P)

Deutscher Wetterdienst (DWD), Güterfelder Damm 87-91, 14532 Stahnsdorf, Germany.

Yoann Robin (Y)

Météo France, Paris, France.

Friederike Otto (F)

Environmental Change Institute, University of Oxford, Oxford, OX UK.

Mathias Hauser (M)

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

Sonia I Seneviratne (SI)

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

Flavio Lehner (F)

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

Olga Zolina (O)

IGE/UGA, Grenoble, France.
P.P.Shirshov Institute of Oceanology, Moscow, Russia.

Classifications MeSH