Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models

Our previous study revealed the link between Barents–Kara sea ice and rainfall in eastern China. This study continues evaluating the performance of multiple models from phase 6 of the Coupled Model Intercomparison Project (CMIP6) in simulating this linkage. Most CMIP6 models can simulate Arctic sea...

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Published in:Atmosphere
Main Authors: Haohan Chen, Jian Rao, Huidi Yang, Jingjia Luo, Gangsen Wu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/atmos14061044
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spelling ftmdpi:oai:mdpi.com:/2073-4433/14/6/1044/ 2023-08-20T04:03:31+02:00 Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models Haohan Chen Jian Rao Huidi Yang Jingjia Luo Gangsen Wu agris 2023-06-17 application/pdf https://doi.org/10.3390/atmos14061044 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/atmos14061044 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 14; Issue 6; Pages: 1044 Barents–Kara seas Arctic sea ice China rainfall CMIP6 stratosphere–troposphere coupling Text 2023 ftmdpi https://doi.org/10.3390/atmos14061044 2023-08-01T10:31:02Z Our previous study revealed the link between Barents–Kara sea ice and rainfall in eastern China. This study continues evaluating the performance of multiple models from phase 6 of the Coupled Model Intercomparison Project (CMIP6) in simulating this linkage. Most CMIP6 models can simulate Arctic sea ice coverage in the present climate system, although the sea ice extent in the edge areas show some biases. Only a few models can roughly reproduce the observed rainfall dipole pattern associated with Arctic sea ice variability. The linkage between Arctic sea ice variability in winter and eastern China rainfall in early summer is performed through a long memory of the sea ice, the stratospheric variability as the mediator, and downward propagation of stratospheric signals. Very few CMIP6 models can exhibit a realistic interannual relationship between the Arctic sea ice and China rainfall. The selected high-skill models with a more realistic linkage between sea ice and China rainfall present a clear downward impact of the stratospheric circulation anomalies associated with sea ice variability. The reversal of the Northern Hemisphere Annular Mode (NAM) from the negative phase in early winter to the positive phase in spring in the high-skill models and observations denotes the important role of the stratosphere as a mediator to bridge the Arctic sea ice and China rainfall. The long memory of the Arctic sea ice with the stratosphere as the mediator has a deep implication on the seasonal forecasts of East Asian countries. Text Arctic Kara Sea Sea ice MDPI Open Access Publishing Arctic Kara Sea Atmosphere 14 6 1044
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Barents–Kara seas
Arctic sea ice
China rainfall
CMIP6
stratosphere–troposphere coupling
spellingShingle Barents–Kara seas
Arctic sea ice
China rainfall
CMIP6
stratosphere–troposphere coupling
Haohan Chen
Jian Rao
Huidi Yang
Jingjia Luo
Gangsen Wu
Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models
topic_facet Barents–Kara seas
Arctic sea ice
China rainfall
CMIP6
stratosphere–troposphere coupling
description Our previous study revealed the link between Barents–Kara sea ice and rainfall in eastern China. This study continues evaluating the performance of multiple models from phase 6 of the Coupled Model Intercomparison Project (CMIP6) in simulating this linkage. Most CMIP6 models can simulate Arctic sea ice coverage in the present climate system, although the sea ice extent in the edge areas show some biases. Only a few models can roughly reproduce the observed rainfall dipole pattern associated with Arctic sea ice variability. The linkage between Arctic sea ice variability in winter and eastern China rainfall in early summer is performed through a long memory of the sea ice, the stratospheric variability as the mediator, and downward propagation of stratospheric signals. Very few CMIP6 models can exhibit a realistic interannual relationship between the Arctic sea ice and China rainfall. The selected high-skill models with a more realistic linkage between sea ice and China rainfall present a clear downward impact of the stratospheric circulation anomalies associated with sea ice variability. The reversal of the Northern Hemisphere Annular Mode (NAM) from the negative phase in early winter to the positive phase in spring in the high-skill models and observations denotes the important role of the stratosphere as a mediator to bridge the Arctic sea ice and China rainfall. The long memory of the Arctic sea ice with the stratosphere as the mediator has a deep implication on the seasonal forecasts of East Asian countries.
format Text
author Haohan Chen
Jian Rao
Huidi Yang
Jingjia Luo
Gangsen Wu
author_facet Haohan Chen
Jian Rao
Huidi Yang
Jingjia Luo
Gangsen Wu
author_sort Haohan Chen
title Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models
title_short Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models
title_full Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models
title_fullStr Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models
title_full_unstemmed Underrepresentation of the Linkage between the Barents–Kara Sea Ice and East Asian Rainfall in Early Summer by CMIP6 Models
title_sort underrepresentation of the linkage between the barents–kara sea ice and east asian rainfall in early summer by cmip6 models
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/atmos14061044
op_coverage agris
geographic Arctic
Kara Sea
geographic_facet Arctic
Kara Sea
genre Arctic
Kara Sea
Sea ice
genre_facet Arctic
Kara Sea
Sea ice
op_source Atmosphere; Volume 14; Issue 6; Pages: 1044
op_relation https://dx.doi.org/10.3390/atmos14061044
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/atmos14061044
container_title Atmosphere
container_volume 14
container_issue 6
container_start_page 1044
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