Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales

Coupled subseasonal forecast systems with dynamical sea ice have the potential of providing important predictive information in polar regions. Here, we evaluate the ability of operational ensemble prediction systems to predict the location of the sea ice edge in Antarctica. Compared to the Arctic, A...

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Published in:Geophysical Research Letters
Main Authors: Zampieri, Lorenzo, Goessling, Helge F., Jung, Thomas
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.1029/2019GL084096
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9031
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spelling ftsubggeo:oai:e-docs.geo-leo.de:11858/9031 2023-05-15T13:42:31+02:00 Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales Zampieri, Lorenzo Goessling, Helge F. Jung, Thomas 2019 https://doi.org/10.1029/2019GL084096 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9031 eng eng doi:10.1029/2019GL084096 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9031 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY ddc:551.343 sea ice prediction sea ice edge Antarctica Southern Ocean S2S time scale doc-type:article 2019 ftsubggeo https://doi.org/10.1029/2019GL084096 2022-11-09T06:51:38Z Coupled subseasonal forecast systems with dynamical sea ice have the potential of providing important predictive information in polar regions. Here, we evaluate the ability of operational ensemble prediction systems to predict the location of the sea ice edge in Antarctica. Compared to the Arctic, Antarctica shows on average a 30% lower skill, with only one system remaining more skillful than a climatological benchmark up to ∼30 days ahead. Skill tends to be highest in the west Antarctic sector during the early freezing season. Most of the systems tend to overestimate the sea ice edge extent and fail to capture the onset of the melting season. All the forecast systems exhibit large initial errors. We conclude that subseasonal sea ice predictions could provide marginal support for decision-making only in selected seasons and regions of the Southern Ocean. However, major progress is possible through investments in model development, forecast initialization and calibration. Article in Journal/Newspaper Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean GEO-LEOe-docs (FID GEO) Arctic Antarctic Southern Ocean Geophysical Research Letters 46 16 9719 9727
institution Open Polar
collection GEO-LEOe-docs (FID GEO)
op_collection_id ftsubggeo
language English
topic ddc:551.343
sea ice prediction
sea ice edge
Antarctica
Southern Ocean
S2S time scale
spellingShingle ddc:551.343
sea ice prediction
sea ice edge
Antarctica
Southern Ocean
S2S time scale
Zampieri, Lorenzo
Goessling, Helge F.
Jung, Thomas
Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
topic_facet ddc:551.343
sea ice prediction
sea ice edge
Antarctica
Southern Ocean
S2S time scale
description Coupled subseasonal forecast systems with dynamical sea ice have the potential of providing important predictive information in polar regions. Here, we evaluate the ability of operational ensemble prediction systems to predict the location of the sea ice edge in Antarctica. Compared to the Arctic, Antarctica shows on average a 30% lower skill, with only one system remaining more skillful than a climatological benchmark up to ∼30 days ahead. Skill tends to be highest in the west Antarctic sector during the early freezing season. Most of the systems tend to overestimate the sea ice edge extent and fail to capture the onset of the melting season. All the forecast systems exhibit large initial errors. We conclude that subseasonal sea ice predictions could provide marginal support for decision-making only in selected seasons and regions of the Southern Ocean. However, major progress is possible through investments in model development, forecast initialization and calibration.
format Article in Journal/Newspaper
author Zampieri, Lorenzo
Goessling, Helge F.
Jung, Thomas
author_facet Zampieri, Lorenzo
Goessling, Helge F.
Jung, Thomas
author_sort Zampieri, Lorenzo
title Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
title_short Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
title_full Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
title_fullStr Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
title_full_unstemmed Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
title_sort predictability of antarctic sea ice edge on subseasonal time scales
publishDate 2019
url https://doi.org/10.1029/2019GL084096
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9031
geographic Arctic
Antarctic
Southern Ocean
geographic_facet Arctic
Antarctic
Southern Ocean
genre Antarc*
Antarctic
Antarctica
Arctic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Antarctica
Arctic
Sea ice
Southern Ocean
op_relation doi:10.1029/2019GL084096
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9031
op_rights This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1029/2019GL084096
container_title Geophysical Research Letters
container_volume 46
container_issue 16
container_start_page 9719
op_container_end_page 9727
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