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: Zuo, Ling, Li, Lijuan, Wang, Bin, Feng, Tao, Chang, Youli
Format: Article in Journal/Newspaper
Language:unknown
Published: Frontiers Media SA 2023
Subjects:
Online Access:http://dx.doi.org/10.3389/feart.2022.1061369
https://www.frontiersin.org/articles/10.3389/feart.2022.1061369/full
id crfrontiers:10.3389/feart.2022.1061369
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spelling crfrontiers:10.3389/feart.2022.1061369 2024-02-11T10:08:31+01:00 Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models Zuo, Ling Li, Lijuan Wang, Bin Feng, Tao Chang, Youli 2023 http://dx.doi.org/10.3389/feart.2022.1061369 https://www.frontiersin.org/articles/10.3389/feart.2022.1061369/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Earth Science volume 10 ISSN 2296-6463 General Earth and Planetary Sciences journal-article 2023 crfrontiers https://doi.org/10.3389/feart.2022.1061369 2024-01-26T10:10:02Z 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 Frontiers (Publisher) Frontiers in Earth Science 10
institution Open Polar
collection Frontiers (Publisher)
op_collection_id crfrontiers
language unknown
topic General Earth and Planetary Sciences
spellingShingle General Earth and Planetary Sciences
Zuo, Ling
Li, Lijuan
Wang, Bin
Feng, Tao
Chang, Youli
Evaluation and attribution of historical surface air temperature changes over China simulated by coupled and uncoupled models
topic_facet General Earth and Planetary Sciences
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 Zuo, Ling
Li, Lijuan
Wang, Bin
Feng, Tao
Chang, Youli
author_facet Zuo, Ling
Li, Lijuan
Wang, Bin
Feng, Tao
Chang, Youli
author_sort Zuo, Ling
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 SA
publishDate 2023
url http://dx.doi.org/10.3389/feart.2022.1061369
https://www.frontiersin.org/articles/10.3389/feart.2022.1061369/full
genre Sea ice
genre_facet Sea ice
op_source Frontiers in Earth Science
volume 10
ISSN 2296-6463
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/feart.2022.1061369
container_title Frontiers in Earth Science
container_volume 10
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