Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition

© The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Liang, Y., Kwon, Y., & Frankignoul, C. Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice...

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Published in:Journal of Climate
Main Authors: Liang, Yu-Chiao, Kwon, Young-Oh, Frankignoul, Claude
Format: Article in Journal/Newspaper
Language:unknown
Published: American Meteorological Society 2020
Subjects:
Online Access:https://hdl.handle.net/1912/27029
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spelling ftwhoas:oai:darchive.mblwhoilibrary.org:1912/27029 2023-05-15T14:24:25+02:00 Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition Liang, Yu-Chiao Kwon, Young-Oh Frankignoul, Claude 2020-12-23 https://hdl.handle.net/1912/27029 unknown American Meteorological Society https://doi.org/10.1175/JCLI-D-20-0172.1 Liang, Y., Kwon, Y., & Frankignoul, C. (2021). Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition. Journal of Climate, 34(2), 787-804. https://hdl.handle.net/1912/27029 doi:10.1175/JCLI-D-20-0172.1 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ CC-BY Liang, Y., Kwon, Y., & Frankignoul, C. (2021). Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition. Journal of Climate, 34(2), 787-804. doi:10.1175/JCLI-D-20-0172.1 Arctic Sea ice Atmospheric circulation Ocean circulation Seasonal forecasting Article 2020 ftwhoas https://doi.org/10.1175/JCLI-D-20-0172.1 2022-05-28T23:04:06Z © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Liang, Y., Kwon, Y., & Frankignoul, C. Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition. Journal of Climate, 34(2), (2021): 787-804, https://doi.org/10.1175/JCLI-D-20-0172.1. This study uses observational and reanalysis datasets in 1980–2016 to show a close connection between a boreal autumn sea ice dipole in the Arctic Pacific sector and sea ice anomalies in the Barents Sea (BS) during the following spring. The September–October Arctic Pacific sea ice dipole variations are highly correlated with the subsequent April–May BS sea ice variations (r = 0.71). The strong connection between the regional sea ice variabilities across the Arctic uncovers a new source of predictability for spring BS sea ice prediction at 7-month lead time. A cross-validated linear regression prediction model using the Arctic Pacific sea ice dipole with 7-month lead time is demonstrated to have significant prediction skills with 0.54–0.85 anomaly correlation coefficients. The autumn sea ice dipole, manifested as sea ice retreat in the Beaufort and Chukchi Seas and expansion in the East Siberian and Laptev Seas, is primarily forced by preceding atmospheric shortwave anomalies from late spring to early autumn. The spring BS sea ice increases are mostly driven by an ocean-to-sea ice heat flux reduction in preceding months, associated with reduced horizontal ocean heat transport into the BS. The dynamical linkage between the two regional sea ice anomalies is suggested to involve positive stratospheric polar cap anomalies during autumn and winter, with its center slowly moving toward Greenland. The migration of the stratospheric anomalies is followed in midwinter by a negative North Atlantic Oscillation–like pattern in the troposphere, leading to reduced ocean heat transport into the BS and sea ice extent increase. This ... Article in Journal/Newspaper Arctic Arctic Barents Sea Chukchi Greenland laptev North Atlantic North Atlantic oscillation Sea ice Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Arctic Barents Sea Greenland Pacific Midwinter ENVELOPE(139.931,139.931,-66.690,-66.690) Journal of Climate 34 2 787 804
institution Open Polar
collection Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server)
op_collection_id ftwhoas
language unknown
topic Arctic
Sea ice
Atmospheric circulation
Ocean circulation
Seasonal forecasting
spellingShingle Arctic
Sea ice
Atmospheric circulation
Ocean circulation
Seasonal forecasting
Liang, Yu-Chiao
Kwon, Young-Oh
Frankignoul, Claude
Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition
topic_facet Arctic
Sea ice
Atmospheric circulation
Ocean circulation
Seasonal forecasting
description © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Liang, Y., Kwon, Y., & Frankignoul, C. Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition. Journal of Climate, 34(2), (2021): 787-804, https://doi.org/10.1175/JCLI-D-20-0172.1. This study uses observational and reanalysis datasets in 1980–2016 to show a close connection between a boreal autumn sea ice dipole in the Arctic Pacific sector and sea ice anomalies in the Barents Sea (BS) during the following spring. The September–October Arctic Pacific sea ice dipole variations are highly correlated with the subsequent April–May BS sea ice variations (r = 0.71). The strong connection between the regional sea ice variabilities across the Arctic uncovers a new source of predictability for spring BS sea ice prediction at 7-month lead time. A cross-validated linear regression prediction model using the Arctic Pacific sea ice dipole with 7-month lead time is demonstrated to have significant prediction skills with 0.54–0.85 anomaly correlation coefficients. The autumn sea ice dipole, manifested as sea ice retreat in the Beaufort and Chukchi Seas and expansion in the East Siberian and Laptev Seas, is primarily forced by preceding atmospheric shortwave anomalies from late spring to early autumn. The spring BS sea ice increases are mostly driven by an ocean-to-sea ice heat flux reduction in preceding months, associated with reduced horizontal ocean heat transport into the BS. The dynamical linkage between the two regional sea ice anomalies is suggested to involve positive stratospheric polar cap anomalies during autumn and winter, with its center slowly moving toward Greenland. The migration of the stratospheric anomalies is followed in midwinter by a negative North Atlantic Oscillation–like pattern in the troposphere, leading to reduced ocean heat transport into the BS and sea ice extent increase. This ...
format Article in Journal/Newspaper
author Liang, Yu-Chiao
Kwon, Young-Oh
Frankignoul, Claude
author_facet Liang, Yu-Chiao
Kwon, Young-Oh
Frankignoul, Claude
author_sort Liang, Yu-Chiao
title Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition
title_short Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition
title_full Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition
title_fullStr Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition
title_full_unstemmed Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition
title_sort autumn arctic pacific sea ice dipole as a source of predictability for subsequent spring barents sea ice condition
publisher American Meteorological Society
publishDate 2020
url https://hdl.handle.net/1912/27029
long_lat ENVELOPE(139.931,139.931,-66.690,-66.690)
geographic Arctic
Barents Sea
Greenland
Pacific
Midwinter
geographic_facet Arctic
Barents Sea
Greenland
Pacific
Midwinter
genre Arctic
Arctic
Barents Sea
Chukchi
Greenland
laptev
North Atlantic
North Atlantic oscillation
Sea ice
genre_facet Arctic
Arctic
Barents Sea
Chukchi
Greenland
laptev
North Atlantic
North Atlantic oscillation
Sea ice
op_source Liang, Y., Kwon, Y., & Frankignoul, C. (2021). Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition. Journal of Climate, 34(2), 787-804.
doi:10.1175/JCLI-D-20-0172.1
op_relation https://doi.org/10.1175/JCLI-D-20-0172.1
Liang, Y., Kwon, Y., & Frankignoul, C. (2021). Autumn Arctic Pacific sea ice dipole as a source of predictability for subsequent spring Barents Sea ice condition. Journal of Climate, 34(2), 787-804.
https://hdl.handle.net/1912/27029
doi:10.1175/JCLI-D-20-0172.1
op_rights Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1175/JCLI-D-20-0172.1
container_title Journal of Climate
container_volume 34
container_issue 2
container_start_page 787
op_container_end_page 804
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