Prolonged Siberian heat of 2020 almost impossible without human influence ...

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 an...

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Main Authors: Ciavarella, Andrew, Cotterill, Daniel, Stott, Peter, Kew, Sarah, Philip, Sjoukje, Van Oldenborgh, Geert J., Skålevåg, Amalie, Lorenz, Philip, Robin, Yoann, Otto, Friederike, Hauser, Mathias, Seneviratne, Sonia I., Lehner, Flavio, Zolina, Olga
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2021
Subjects:
Online Access:https://dx.doi.org/10.3929/ethz-b-000484734
http://hdl.handle.net/20.500.11850/484734
id ftdatacite:10.3929/ethz-b-000484734
record_format openpolar
spelling ftdatacite:10.3929/ethz-b-000484734 2024-04-28T08:10:35+00:00 Prolonged Siberian heat of 2020 almost impossible without human influence ... Ciavarella, Andrew Cotterill, Daniel Stott, Peter Kew, Sarah Philip, Sjoukje Van Oldenborgh, Geert J. Skålevåg, Amalie Lorenz, Philip Robin, Yoann Otto, Friederike Hauser, Mathias Seneviratne, Sonia I. Lehner, Flavio Zolina, Olga 2021 application/pdf https://dx.doi.org/10.3929/ethz-b-000484734 http://hdl.handle.net/20.500.11850/484734 en eng ETH Zurich info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Extreme event attribution Heatwave Siberia Extremes Multi-model Rapid attribution article-journal Text ScholarlyArticle Journal Article 2021 ftdatacite https://doi.org/10.3929/ethz-b-000484734 2024-04-02T12:34:54Z 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 ... : Climatic Change, 166 (1-2) ... Article in Journal/Newspaper Arctic Climate change Siberia DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Extreme event attribution
Heatwave
Siberia
Extremes
Multi-model
Rapid attribution
spellingShingle Extreme event attribution
Heatwave
Siberia
Extremes
Multi-model
Rapid attribution
Ciavarella, Andrew
Cotterill, Daniel
Stott, Peter
Kew, Sarah
Philip, Sjoukje
Van Oldenborgh, Geert J.
Skålevåg, Amalie
Lorenz, Philip
Robin, Yoann
Otto, Friederike
Hauser, Mathias
Seneviratne, Sonia I.
Lehner, Flavio
Zolina, Olga
Prolonged Siberian heat of 2020 almost impossible without human influence ...
topic_facet Extreme event attribution
Heatwave
Siberia
Extremes
Multi-model
Rapid attribution
description 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 ... : Climatic Change, 166 (1-2) ...
format Article in Journal/Newspaper
author Ciavarella, Andrew
Cotterill, Daniel
Stott, Peter
Kew, Sarah
Philip, Sjoukje
Van Oldenborgh, Geert J.
Skålevåg, Amalie
Lorenz, Philip
Robin, Yoann
Otto, Friederike
Hauser, Mathias
Seneviratne, Sonia I.
Lehner, Flavio
Zolina, Olga
author_facet Ciavarella, Andrew
Cotterill, Daniel
Stott, Peter
Kew, Sarah
Philip, Sjoukje
Van Oldenborgh, Geert J.
Skålevåg, Amalie
Lorenz, Philip
Robin, Yoann
Otto, Friederike
Hauser, Mathias
Seneviratne, Sonia I.
Lehner, Flavio
Zolina, Olga
author_sort Ciavarella, Andrew
title Prolonged Siberian heat of 2020 almost impossible without human influence ...
title_short Prolonged Siberian heat of 2020 almost impossible without human influence ...
title_full Prolonged Siberian heat of 2020 almost impossible without human influence ...
title_fullStr Prolonged Siberian heat of 2020 almost impossible without human influence ...
title_full_unstemmed Prolonged Siberian heat of 2020 almost impossible without human influence ...
title_sort prolonged siberian heat of 2020 almost impossible without human influence ...
publisher ETH Zurich
publishDate 2021
url https://dx.doi.org/10.3929/ethz-b-000484734
http://hdl.handle.net/20.500.11850/484734
genre Arctic
Climate change
Siberia
genre_facet Arctic
Climate change
Siberia
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.3929/ethz-b-000484734
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