Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales
Frozen sea water, called sea ice, is an important actor of the climate system. It covers about 12% of the world's oceans. More than reflecting the incoming light, it regulates the exchanges of heat, momentum and matter between the ocean and the atmosphere in polar regions. More extended than it...
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ftunistlouisbrus:oai:dial.uclouvain.be:boreal:242576 2024-05-12T07:55:59+00:00 Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales Marchi, Sylvain UCL - SST/ELI/ELIC - Earth & Climate UCL - Faculté des Sciences Fichefet, Thierry Goosse, Hugues Massonnet, François Vannitsem, Stéphane Tietsche, Steffen De Keersmaecker, Marie-Laurence 2021 http://hdl.handle.net/2078.1/242576 eng eng boreal:242576 http://hdl.handle.net/2078.1/242576 info:eu-repo/semantics/restrictedAccess Sea ice Prediction Antarctic Predictability info:eu-repo/semantics/doctoralThesis 2021 ftunistlouisbrus 2024-04-18T17:19:49Z Frozen sea water, called sea ice, is an important actor of the climate system. It covers about 12% of the world's oceans. More than reflecting the incoming light, it regulates the exchanges of heat, momentum and matter between the ocean and the atmosphere in polar regions. More extended than its Arctic counterpart, the Antarctic sea ice actively participates in the redistribution of water masses in the world’s major ocean basins. Contrary to what is commonly believed, the Antarctic sea ice has been relatively unaffected by global warming. Until recently, satellite observations even showed a small positive sea ice cover trend. This trend is punctuated by large interannual variations, with a record-high cover in 2014 and a record-low cover in 2017. This makes the Antarctic climate unique and sea ice predictions challenging. At short timescales, predictions are subject to errors originating from incorrect initial conditions (ICs), model imperfections, and by “chaosâ€. While we can act to reduce the first two sources of errors, chaos is inherent to fully coupled climate models. Focusing on this source of error using an idealised protocol, this thesis demonstrates that such models can provide skilful sea ice edge predictions. The predictability is accounted for by the ocean with its great thermal inertia. Unfortunately, we showed that there is still a large predictability gap between idealised and operational predictions. The dearth of observations is problematic to start a prediction. Our results suggest that the errors in the ocean–sea ice ICs could even dominate the errors coming from an incorrect representation of the atmospheric conditions. The imperfect representation of the Antarctic climate in models is another major obstacle. A better observational coverage would certainly help to fix both issues. (SC - Sciences) -- UCL, 2021 Doctoral or Postdoctoral Thesis Antarc* Antarctic Arctic Global warming Sea ice DIAL@USL-B (Université Saint-Louis, Bruxelles) Antarctic Arctic The Antarctic |
institution |
Open Polar |
collection |
DIAL@USL-B (Université Saint-Louis, Bruxelles) |
op_collection_id |
ftunistlouisbrus |
language |
English |
topic |
Sea ice Prediction Antarctic Predictability |
spellingShingle |
Sea ice Prediction Antarctic Predictability Marchi, Sylvain Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales |
topic_facet |
Sea ice Prediction Antarctic Predictability |
description |
Frozen sea water, called sea ice, is an important actor of the climate system. It covers about 12% of the world's oceans. More than reflecting the incoming light, it regulates the exchanges of heat, momentum and matter between the ocean and the atmosphere in polar regions. More extended than its Arctic counterpart, the Antarctic sea ice actively participates in the redistribution of water masses in the world’s major ocean basins. Contrary to what is commonly believed, the Antarctic sea ice has been relatively unaffected by global warming. Until recently, satellite observations even showed a small positive sea ice cover trend. This trend is punctuated by large interannual variations, with a record-high cover in 2014 and a record-low cover in 2017. This makes the Antarctic climate unique and sea ice predictions challenging. At short timescales, predictions are subject to errors originating from incorrect initial conditions (ICs), model imperfections, and by “chaosâ€. While we can act to reduce the first two sources of errors, chaos is inherent to fully coupled climate models. Focusing on this source of error using an idealised protocol, this thesis demonstrates that such models can provide skilful sea ice edge predictions. The predictability is accounted for by the ocean with its great thermal inertia. Unfortunately, we showed that there is still a large predictability gap between idealised and operational predictions. The dearth of observations is problematic to start a prediction. Our results suggest that the errors in the ocean–sea ice ICs could even dominate the errors coming from an incorrect representation of the atmospheric conditions. The imperfect representation of the Antarctic climate in models is another major obstacle. A better observational coverage would certainly help to fix both issues. (SC - Sciences) -- UCL, 2021 |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate UCL - Faculté des Sciences Fichefet, Thierry Goosse, Hugues Massonnet, François Vannitsem, Stéphane Tietsche, Steffen De Keersmaecker, Marie-Laurence |
format |
Doctoral or Postdoctoral Thesis |
author |
Marchi, Sylvain |
author_facet |
Marchi, Sylvain |
author_sort |
Marchi, Sylvain |
title |
Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales |
title_short |
Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales |
title_full |
Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales |
title_fullStr |
Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales |
title_full_unstemmed |
Predictability and predictions of Antarctic sea ice on seasonal-to-interannual timescales |
title_sort |
predictability and predictions of antarctic sea ice on seasonal-to-interannual timescales |
publishDate |
2021 |
url |
http://hdl.handle.net/2078.1/242576 |
geographic |
Antarctic Arctic The Antarctic |
geographic_facet |
Antarctic Arctic The Antarctic |
genre |
Antarc* Antarctic Arctic Global warming Sea ice |
genre_facet |
Antarc* Antarctic Arctic Global warming Sea ice |
op_relation |
boreal:242576 http://hdl.handle.net/2078.1/242576 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
_version_ |
1798835894275276800 |