Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models

Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the period 1979–2015. However, this upward trend needs to be balanced against recent pronounced SIE fluctuations occurring there. In the space of 3 years, the SIE sank from its highest value ever reached in S...

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Published in:Climate Dynamics
Main Authors: Marchi, Sylvain, Fichefet, Thierry, Goosse, Hugues, Zunz, Violette, Tietsche, Steffen, Day, Jonathan, Hawkins, Ed
Format: Article in Journal/Newspaper
Language:unknown
Published: Springer 2019
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Online Access:https://centaur.reading.ac.uk/80787/
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spelling ftunivreading:oai:centaur.reading.ac.uk:80787 2024-09-15T17:46:25+00:00 Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models Marchi, Sylvain Fichefet, Thierry Goosse, Hugues Zunz, Violette Tietsche, Steffen Day, Jonathan Hawkins, Ed 2019-03 https://centaur.reading.ac.uk/80787/ unknown Springer Marchi, S., Fichefet, T., Goosse, H., Zunz, V., Tietsche, S. <https://centaur.reading.ac.uk/view/creators/90004675.html>, Day, J. and Hawkins, E. <https://centaur.reading.ac.uk/view/creators/90000949.html> orcid:0000-0001-9477-3677 (2019) Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models. Climate Dynamics, 52 (5-6). pp. 2775-2797. ISSN 0930-7575 doi: https://doi.org/10.1007/s00382-018-4292-2 <https://doi.org/10.1007/s00382-018-4292-2> Article PeerReviewed 2019 ftunivreading https://doi.org/10.1007/s00382-018-4292-2 2024-06-25T15:02:19Z Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the period 1979–2015. However, this upward trend needs to be balanced against recent pronounced SIE fluctuations occurring there. In the space of 3 years, the SIE sank from its highest value ever reached in September 2014 to record low in February 2017. In this work, a set of six state-of-the-art global climate models is used to evaluate the potential predictability of the Antarctic sea ice at such timescales. This first multi-model study of Antarctic sea ice predictability reveals that the ice edge location can potentially be predicted up to 3 years in advance. However, the ice edge location predictability shows contrasted seasonal performances, with high predictability in winter and no predictability in summer. The reemergence of the predictability from one winter to next is provided by the ocean through its large thermal inertia. Sea surface heat anomalies are stored at depth at the end of the winter and influences the sea ice advance the following year as they resurface. The effectiveness of this mechanism across models is found to depend upon the depth of the mixed layer. One should be very cautious about these potential predictability estimates as there is evidence that the Antarctic sea ice predictability is promoted by deep Southern Ocean convection. We therefore suspect models with excessive convection to show higher sea ice potential predictability results due to an incorrect representation of the Southern Ocean. Article in Journal/Newspaper Antarc* Antarctic Sea ice Southern Ocean CentAUR: Central Archive at the University of Reading Climate Dynamics 52 5-6 2775 2797
institution Open Polar
collection CentAUR: Central Archive at the University of Reading
op_collection_id ftunivreading
language unknown
description Satellite observations show a small overall increase in Antarctic sea ice extent (SIE) over the period 1979–2015. However, this upward trend needs to be balanced against recent pronounced SIE fluctuations occurring there. In the space of 3 years, the SIE sank from its highest value ever reached in September 2014 to record low in February 2017. In this work, a set of six state-of-the-art global climate models is used to evaluate the potential predictability of the Antarctic sea ice at such timescales. This first multi-model study of Antarctic sea ice predictability reveals that the ice edge location can potentially be predicted up to 3 years in advance. However, the ice edge location predictability shows contrasted seasonal performances, with high predictability in winter and no predictability in summer. The reemergence of the predictability from one winter to next is provided by the ocean through its large thermal inertia. Sea surface heat anomalies are stored at depth at the end of the winter and influences the sea ice advance the following year as they resurface. The effectiveness of this mechanism across models is found to depend upon the depth of the mixed layer. One should be very cautious about these potential predictability estimates as there is evidence that the Antarctic sea ice predictability is promoted by deep Southern Ocean convection. We therefore suspect models with excessive convection to show higher sea ice potential predictability results due to an incorrect representation of the Southern Ocean.
format Article in Journal/Newspaper
author Marchi, Sylvain
Fichefet, Thierry
Goosse, Hugues
Zunz, Violette
Tietsche, Steffen
Day, Jonathan
Hawkins, Ed
spellingShingle Marchi, Sylvain
Fichefet, Thierry
Goosse, Hugues
Zunz, Violette
Tietsche, Steffen
Day, Jonathan
Hawkins, Ed
Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
author_facet Marchi, Sylvain
Fichefet, Thierry
Goosse, Hugues
Zunz, Violette
Tietsche, Steffen
Day, Jonathan
Hawkins, Ed
author_sort Marchi, Sylvain
title Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
title_short Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
title_full Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
title_fullStr Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
title_full_unstemmed Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models
title_sort reemergence of antarctic sea ice predictability and its link to deep ocean mixing in global climate models
publisher Springer
publishDate 2019
url https://centaur.reading.ac.uk/80787/
genre Antarc*
Antarctic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Sea ice
Southern Ocean
op_relation Marchi, S., Fichefet, T., Goosse, H., Zunz, V., Tietsche, S. <https://centaur.reading.ac.uk/view/creators/90004675.html>, Day, J. and Hawkins, E. <https://centaur.reading.ac.uk/view/creators/90000949.html> orcid:0000-0001-9477-3677 (2019) Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models. Climate Dynamics, 52 (5-6). pp. 2775-2797. ISSN 0930-7575 doi: https://doi.org/10.1007/s00382-018-4292-2 <https://doi.org/10.1007/s00382-018-4292-2>
op_doi https://doi.org/10.1007/s00382-018-4292-2
container_title Climate Dynamics
container_volume 52
container_issue 5-6
container_start_page 2775
op_container_end_page 2797
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