Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models

The increase in the average surface air temperature anomaly (SATA) over China is higher than the global average. However, the accurate simulation and attribution of regional SATA evolution remain challenging for current global climate models. This study simulates historical SATA variations over Chin...

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Published in:Frontiers in Earth Science
Main Authors: Ling Zuo, Lijuan Li, Bin Wang, Tao Feng, Youli Chang
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2023
Subjects:
Q
Online Access:https://doi.org/10.3389/feart.2022.1061369
https://doaj.org/article/1bf5f360495a4651bbd188c412dfd88b
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spelling ftdoajarticles:oai:doaj.org/article:1bf5f360495a4651bbd188c412dfd88b 2023-05-15T18:18:07+02:00 Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models Ling Zuo Lijuan Li Bin Wang Tao Feng Youli Chang 2023-01-01T00:00:00Z https://doi.org/10.3389/feart.2022.1061369 https://doaj.org/article/1bf5f360495a4651bbd188c412dfd88b EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/feart.2022.1061369/full https://doaj.org/toc/2296-6463 2296-6463 doi:10.3389/feart.2022.1061369 https://doaj.org/article/1bf5f360495a4651bbd188c412dfd88b Frontiers in Earth Science, Vol 10 (2023) surface air temperature attribution coupled model uncoupled model anthropogenic aerosols Science Q article 2023 ftdoajarticles https://doi.org/10.3389/feart.2022.1061369 2023-01-29T01:28:00Z The increase in the average surface air temperature anomaly (SATA) over China is higher than the global average. However, the accurate simulation and attribution of regional SATA evolution remain challenging for current global climate models. This study simulates historical SATA variations over China using the coupled (FGOALS-g3) and uncoupled (atmospheric component, GAMIL3) models and examines their possible causes. Results show that both models reproduce the historical SATA variation with higher correlation coefficients (0.735 and 0.782) than many global climate models (0.25–0.56), although they overestimate or underestimate the changes of SATA to some extent in different periods. The results show that the cooling trend during 1941–1970 is well simulated with the coupled model while poorly presented with the uncoupled model; the coupled simulations particularly produce stronger long-term trends than the uncoupled ones during 1870–2014 considering full interaction among the atmosphere, ocean, and sea ice. In contrast, the uncoupled simulations reproduce better decadal and multi-decadal SATA variations owing to the constraints of the observed sea surface temperature (SST), such as the Atlantic multidecadal oscillation, and sea ice cover. Using Detection and Attribution Model Intercomparison Project (DAMIP) experiments, we found that the warming in the early 20th century and the recent 50 years is mainly driven by natural forcings and greenhouse gases (GHGs), whereas the cooling during 1941–1970 is caused by natural factors and anthropogenic aerosols. The cooling effects of anthropogenic aerosols are mainly attributed from the indirect SST-mediated responses through the atmosphere-ocean interactions in the coupled model. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Frontiers in Earth Science 10
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic surface air temperature
attribution
coupled model
uncoupled model
anthropogenic aerosols
Science
Q
spellingShingle surface air temperature
attribution
coupled model
uncoupled model
anthropogenic aerosols
Science
Q
Ling Zuo
Lijuan Li
Bin Wang
Tao Feng
Youli Chang
Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
topic_facet surface air temperature
attribution
coupled model
uncoupled model
anthropogenic aerosols
Science
Q
description The increase in the average surface air temperature anomaly (SATA) over China is higher than the global average. However, the accurate simulation and attribution of regional SATA evolution remain challenging for current global climate models. This study simulates historical SATA variations over China using the coupled (FGOALS-g3) and uncoupled (atmospheric component, GAMIL3) models and examines their possible causes. Results show that both models reproduce the historical SATA variation with higher correlation coefficients (0.735 and 0.782) than many global climate models (0.25–0.56), although they overestimate or underestimate the changes of SATA to some extent in different periods. The results show that the cooling trend during 1941–1970 is well simulated with the coupled model while poorly presented with the uncoupled model; the coupled simulations particularly produce stronger long-term trends than the uncoupled ones during 1870–2014 considering full interaction among the atmosphere, ocean, and sea ice. In contrast, the uncoupled simulations reproduce better decadal and multi-decadal SATA variations owing to the constraints of the observed sea surface temperature (SST), such as the Atlantic multidecadal oscillation, and sea ice cover. Using Detection and Attribution Model Intercomparison Project (DAMIP) experiments, we found that the warming in the early 20th century and the recent 50 years is mainly driven by natural forcings and greenhouse gases (GHGs), whereas the cooling during 1941–1970 is caused by natural factors and anthropogenic aerosols. The cooling effects of anthropogenic aerosols are mainly attributed from the indirect SST-mediated responses through the atmosphere-ocean interactions in the coupled model.
format Article in Journal/Newspaper
author Ling Zuo
Lijuan Li
Bin Wang
Tao Feng
Youli Chang
author_facet Ling Zuo
Lijuan Li
Bin Wang
Tao Feng
Youli Chang
author_sort Ling Zuo
title Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
title_short Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
title_full Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
title_fullStr Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
title_full_unstemmed Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
title_sort evaluation and attribution of historical surface air temperature changes over china simulated by coupled and uncoupled models
publisher Frontiers Media S.A.
publishDate 2023
url https://doi.org/10.3389/feart.2022.1061369
https://doaj.org/article/1bf5f360495a4651bbd188c412dfd88b
genre Sea ice
genre_facet Sea ice
op_source Frontiers in Earth Science, Vol 10 (2023)
op_relation https://www.frontiersin.org/articles/10.3389/feart.2022.1061369/full
https://doaj.org/toc/2296-6463
2296-6463
doi:10.3389/feart.2022.1061369
https://doaj.org/article/1bf5f360495a4651bbd188c412dfd88b
op_doi https://doi.org/10.3389/feart.2022.1061369
container_title Frontiers in Earth Science
container_volume 10
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