Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections

We examine sources of uncertainty in projections of Arctic amplification (AA) using the CMIP6 multi-model (MM) ensemble and single model initial-condition large ensembles of historical and future scenario simulations. In the CMIP6 MM mean, the annual mean AA ratio is steady at approximately 2.5, bot...

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Published in:Environmental Research: Climate
Main Authors: Stephanie Hay, James A Screen, Jennifer L Catto
Format: Article in Journal/Newspaper
Language:English
Published: IOP Publishing 2024
Subjects:
Online Access:https://doi.org/10.1088/2752-5295/ad4201
https://doaj.org/article/5e42abb3f61c4e639f74db57d2f4e349
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spelling ftdoajarticles:oai:doaj.org/article:5e42abb3f61c4e639f74db57d2f4e349 2024-09-09T19:21:07+00:00 Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections Stephanie Hay James A Screen Jennifer L Catto 2024-01-01T00:00:00Z https://doi.org/10.1088/2752-5295/ad4201 https://doaj.org/article/5e42abb3f61c4e639f74db57d2f4e349 EN eng IOP Publishing https://doi.org/10.1088/2752-5295/ad4201 https://doaj.org/toc/2752-5295 doi:10.1088/2752-5295/ad4201 2752-5295 https://doaj.org/article/5e42abb3f61c4e639f74db57d2f4e349 Environmental Research: Climate, Vol 3, Iss 3, p 031003 (2024) Arctic amplification structural uncertainty scenario uncertainy internal variability Meteorology. Climatology QC851-999 Environmental sciences GE1-350 article 2024 ftdoajarticles https://doi.org/10.1088/2752-5295/ad4201 2024-08-05T17:49:23Z We examine sources of uncertainty in projections of Arctic amplification (AA) using the CMIP6 multi-model (MM) ensemble and single model initial-condition large ensembles of historical and future scenario simulations. In the CMIP6 MM mean, the annual mean AA ratio is steady at approximately 2.5, both in time and across scenarios, resulting in negligibly small scenario uncertainty in the magnitude of AA. Deviations from the steady value can be found at the low and high emission scenarios due to different root causes, with the latter being mostly evident in the summer and autumn seasons. Best estimates of model uncertainty are at least an order of magnitude larger than scenario uncertainty in CMIP6. The large ensembles reveal that irreducible internal variability has a similar magnitude to model uncertainty for most of the 21st century, except in the lowest emission scenario at the end of the 21st century when it could be twice as large. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Environmental Research: Climate 3 3 031003
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic amplification
structural uncertainty
scenario uncertainy
internal variability
Meteorology. Climatology
QC851-999
Environmental sciences
GE1-350
spellingShingle Arctic amplification
structural uncertainty
scenario uncertainy
internal variability
Meteorology. Climatology
QC851-999
Environmental sciences
GE1-350
Stephanie Hay
James A Screen
Jennifer L Catto
Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections
topic_facet Arctic amplification
structural uncertainty
scenario uncertainy
internal variability
Meteorology. Climatology
QC851-999
Environmental sciences
GE1-350
description We examine sources of uncertainty in projections of Arctic amplification (AA) using the CMIP6 multi-model (MM) ensemble and single model initial-condition large ensembles of historical and future scenario simulations. In the CMIP6 MM mean, the annual mean AA ratio is steady at approximately 2.5, both in time and across scenarios, resulting in negligibly small scenario uncertainty in the magnitude of AA. Deviations from the steady value can be found at the low and high emission scenarios due to different root causes, with the latter being mostly evident in the summer and autumn seasons. Best estimates of model uncertainty are at least an order of magnitude larger than scenario uncertainty in CMIP6. The large ensembles reveal that irreducible internal variability has a similar magnitude to model uncertainty for most of the 21st century, except in the lowest emission scenario at the end of the 21st century when it could be twice as large.
format Article in Journal/Newspaper
author Stephanie Hay
James A Screen
Jennifer L Catto
author_facet Stephanie Hay
James A Screen
Jennifer L Catto
author_sort Stephanie Hay
title Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections
title_short Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections
title_full Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections
title_fullStr Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections
title_full_unstemmed Steady but model dependent Arctic amplification of the forced temperature response in 21st century CMIP6 projections
title_sort steady but model dependent arctic amplification of the forced temperature response in 21st century cmip6 projections
publisher IOP Publishing
publishDate 2024
url https://doi.org/10.1088/2752-5295/ad4201
https://doaj.org/article/5e42abb3f61c4e639f74db57d2f4e349
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Environmental Research: Climate, Vol 3, Iss 3, p 031003 (2024)
op_relation https://doi.org/10.1088/2752-5295/ad4201
https://doaj.org/toc/2752-5295
doi:10.1088/2752-5295/ad4201
2752-5295
https://doaj.org/article/5e42abb3f61c4e639f74db57d2f4e349
op_doi https://doi.org/10.1088/2752-5295/ad4201
container_title Environmental Research: Climate
container_volume 3
container_issue 3
container_start_page 031003
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