Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022
Abstract Diagnosing the role of internal variability over recent decades is critically important for both model validation and projections of future warming. Recent research suggests that for 1980–2022 internal variability manifested as Global Cooling and Arctic Warming (i‐GCAW), leading to enhanced...
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Online Access: | https://doi.org/10.1029/2024GL108798 https://doaj.org/article/0ed593514f534366a02dec6d8cdf31a0 |
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ftdoajarticles:oai:doaj.org/article:0ed593514f534366a02dec6d8cdf31a0 2024-09-15T18:08:05+00:00 Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 Aodhan J. Sweeney Qiang Fu Stephen Po‐Chedley Hailong Wang Muyin Wang 2024-06-01T00:00:00Z https://doi.org/10.1029/2024GL108798 https://doaj.org/article/0ed593514f534366a02dec6d8cdf31a0 EN eng Wiley https://doi.org/10.1029/2024GL108798 https://doaj.org/toc/0094-8276 https://doaj.org/toc/1944-8007 1944-8007 0094-8276 doi:10.1029/2024GL108798 https://doaj.org/article/0ed593514f534366a02dec6d8cdf31a0 Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024) internal variability Arctic amplification machine learning global warming pattern of warming Arctic warming Geophysics. Cosmic physics QC801-809 article 2024 ftdoajarticles https://doi.org/10.1029/2024GL108798 2024-08-05T17:48:59Z Abstract Diagnosing the role of internal variability over recent decades is critically important for both model validation and projections of future warming. Recent research suggests that for 1980–2022 internal variability manifested as Global Cooling and Arctic Warming (i‐GCAW), leading to enhanced Arctic Amplification (AA), and suppressed global warming over this period. Here we show that such an i‐GCAW is rare in CMIP6 large ensembles, but simulations that do produce similar i‐GCAW exhibit a unique and robust internally driven global surface air temperature (SAT) trend pattern. This unique SAT trend pattern features enhanced warming in the Barents and Kara Sea and cooling in the Tropical Eastern Pacific and Southern Ocean. Given that these features are imprinted in the observed record over recent decades, this work suggests that internal variability makes a crucial contribution to the discrepancy between observations and model‐simulated forced SAT trend patterns. Article in Journal/Newspaper Global warming Kara Sea Southern Ocean Directory of Open Access Journals: DOAJ Articles Geophysical Research Letters 51 11 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
internal variability Arctic amplification machine learning global warming pattern of warming Arctic warming Geophysics. Cosmic physics QC801-809 |
spellingShingle |
internal variability Arctic amplification machine learning global warming pattern of warming Arctic warming Geophysics. Cosmic physics QC801-809 Aodhan J. Sweeney Qiang Fu Stephen Po‐Chedley Hailong Wang Muyin Wang Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 |
topic_facet |
internal variability Arctic amplification machine learning global warming pattern of warming Arctic warming Geophysics. Cosmic physics QC801-809 |
description |
Abstract Diagnosing the role of internal variability over recent decades is critically important for both model validation and projections of future warming. Recent research suggests that for 1980–2022 internal variability manifested as Global Cooling and Arctic Warming (i‐GCAW), leading to enhanced Arctic Amplification (AA), and suppressed global warming over this period. Here we show that such an i‐GCAW is rare in CMIP6 large ensembles, but simulations that do produce similar i‐GCAW exhibit a unique and robust internally driven global surface air temperature (SAT) trend pattern. This unique SAT trend pattern features enhanced warming in the Barents and Kara Sea and cooling in the Tropical Eastern Pacific and Southern Ocean. Given that these features are imprinted in the observed record over recent decades, this work suggests that internal variability makes a crucial contribution to the discrepancy between observations and model‐simulated forced SAT trend patterns. |
format |
Article in Journal/Newspaper |
author |
Aodhan J. Sweeney Qiang Fu Stephen Po‐Chedley Hailong Wang Muyin Wang |
author_facet |
Aodhan J. Sweeney Qiang Fu Stephen Po‐Chedley Hailong Wang Muyin Wang |
author_sort |
Aodhan J. Sweeney |
title |
Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 |
title_short |
Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 |
title_full |
Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 |
title_fullStr |
Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 |
title_full_unstemmed |
Unique Temperature Trend Pattern Associated With Internally Driven Global Cooling and Arctic Warming During 1980–2022 |
title_sort |
unique temperature trend pattern associated with internally driven global cooling and arctic warming during 1980–2022 |
publisher |
Wiley |
publishDate |
2024 |
url |
https://doi.org/10.1029/2024GL108798 https://doaj.org/article/0ed593514f534366a02dec6d8cdf31a0 |
genre |
Global warming Kara Sea Southern Ocean |
genre_facet |
Global warming Kara Sea Southern Ocean |
op_source |
Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024) |
op_relation |
https://doi.org/10.1029/2024GL108798 https://doaj.org/toc/0094-8276 https://doaj.org/toc/1944-8007 1944-8007 0094-8276 doi:10.1029/2024GL108798 https://doaj.org/article/0ed593514f534366a02dec6d8cdf31a0 |
op_doi |
https://doi.org/10.1029/2024GL108798 |
container_title |
Geophysical Research Letters |
container_volume |
51 |
container_issue |
11 |
_version_ |
1810445438955814912 |