Impact of lateral melting on Arctic sea ice simulation in a coupled climate model

Abstract Lateral melting is an important process driving the sea ice decay, yet it is not well represented in many Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This study explores the impact of lateral melting on Arctic sea ice simulation by implementing lateral melting and floe siz...

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Published in:Environmental Research Letters
Main Authors: Fang, Yongjie, Wu, Tongwen, Wu, Fanghua, Li, Jianglong
Other Authors: National Natural Science Foundation of China
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2023
Subjects:
Online Access:http://dx.doi.org/10.1088/1748-9326/acfe20
https://iopscience.iop.org/article/10.1088/1748-9326/acfe20
https://iopscience.iop.org/article/10.1088/1748-9326/acfe20/pdf
id crioppubl:10.1088/1748-9326/acfe20
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spelling crioppubl:10.1088/1748-9326/acfe20 2024-06-02T08:00:55+00:00 Impact of lateral melting on Arctic sea ice simulation in a coupled climate model Fang, Yongjie Wu, Tongwen Wu, Fanghua Li, Jianglong National Natural Science Foundation of China 2023 http://dx.doi.org/10.1088/1748-9326/acfe20 https://iopscience.iop.org/article/10.1088/1748-9326/acfe20 https://iopscience.iop.org/article/10.1088/1748-9326/acfe20/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 18, issue 10, page 104052 ISSN 1748-9326 journal-article 2023 crioppubl https://doi.org/10.1088/1748-9326/acfe20 2024-05-07T14:06:37Z Abstract Lateral melting is an important process driving the sea ice decay, yet it is not well represented in many Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This study explores the impact of lateral melting on Arctic sea ice simulation by implementing lateral melting and floe size parameterization schemes in the medium resolution version of the Beijing Climate Center Climate System Model. Results from a series of CMIP6 historical-type experiments indicate that inclusion of lateral melting results in a reduction in both the Arctic sea ice concentration and thickness, thus improving the sea ice extent and volume simulation. Lateral melting increases open waters, leading to an enhanced net sea surface heat flux into the ocean and further increased lateral and bottom melting. This positive feedback is intensified from 1982 to 2014, particularly when the floe size parameterization scheme is introduced. This accelerates the Arctic sea ice decline from 1982 to 2014 in the model, which is more consistent with observations. Further analysis indicates that the enhancement of this feedback is associated with accelerated lateral melting due to the increased (decreased) trend of the sea surface temperature (floe size) from 1982 to 2014. This study highlights that sea ice lateral melting is an important factor affecting the simulation of Arctic sea ice decline and needs to be better represented in current climate models. Article in Journal/Newspaper Arctic Sea ice IOP Publishing Arctic Environmental Research Letters 18 10 104052
institution Open Polar
collection IOP Publishing
op_collection_id crioppubl
language unknown
description Abstract Lateral melting is an important process driving the sea ice decay, yet it is not well represented in many Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This study explores the impact of lateral melting on Arctic sea ice simulation by implementing lateral melting and floe size parameterization schemes in the medium resolution version of the Beijing Climate Center Climate System Model. Results from a series of CMIP6 historical-type experiments indicate that inclusion of lateral melting results in a reduction in both the Arctic sea ice concentration and thickness, thus improving the sea ice extent and volume simulation. Lateral melting increases open waters, leading to an enhanced net sea surface heat flux into the ocean and further increased lateral and bottom melting. This positive feedback is intensified from 1982 to 2014, particularly when the floe size parameterization scheme is introduced. This accelerates the Arctic sea ice decline from 1982 to 2014 in the model, which is more consistent with observations. Further analysis indicates that the enhancement of this feedback is associated with accelerated lateral melting due to the increased (decreased) trend of the sea surface temperature (floe size) from 1982 to 2014. This study highlights that sea ice lateral melting is an important factor affecting the simulation of Arctic sea ice decline and needs to be better represented in current climate models.
author2 National Natural Science Foundation of China
format Article in Journal/Newspaper
author Fang, Yongjie
Wu, Tongwen
Wu, Fanghua
Li, Jianglong
spellingShingle Fang, Yongjie
Wu, Tongwen
Wu, Fanghua
Li, Jianglong
Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
author_facet Fang, Yongjie
Wu, Tongwen
Wu, Fanghua
Li, Jianglong
author_sort Fang, Yongjie
title Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
title_short Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
title_full Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
title_fullStr Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
title_full_unstemmed Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
title_sort impact of lateral melting on arctic sea ice simulation in a coupled climate model
publisher IOP Publishing
publishDate 2023
url http://dx.doi.org/10.1088/1748-9326/acfe20
https://iopscience.iop.org/article/10.1088/1748-9326/acfe20
https://iopscience.iop.org/article/10.1088/1748-9326/acfe20/pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Environmental Research Letters
volume 18, issue 10, page 104052
ISSN 1748-9326
op_rights http://creativecommons.org/licenses/by/4.0
https://iopscience.iop.org/info/page/text-and-data-mining
op_doi https://doi.org/10.1088/1748-9326/acfe20
container_title Environmental Research Letters
container_volume 18
container_issue 10
container_start_page 104052
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