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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Online Access: | https://dx.doi.org/10.3929/ethz-b-000484734 http://hdl.handle.net/20.500.11850/484734 |
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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 |
_version_ |
1797578412235161600 |