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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Main Authors: Zampieri, Lorenzo, Goessling, Helge F., Jung, Thomas
Format: Text
Language:English
Published: FID GEO 2019
Subjects:
Online Access:https://dx.doi.org/10.23689/fidgeo-4685
https://e-docs.geo-leo.de/handle/11858/9031
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spelling ftdatacite:10.23689/fidgeo-4685 2023-05-15T13:30:25+02:00 Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales Zampieri, Lorenzo Goessling, Helge F. Jung, Thomas 2019 https://dx.doi.org/10.23689/fidgeo-4685 https://e-docs.geo-leo.de/handle/11858/9031 en eng FID GEO Text Article article-journal ScholarlyArticle 2019 ftdatacite https://doi.org/10.23689/fidgeo-4685 2021-11-05T12:55:41Z 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. Text Antarc* Antarctic Antarctica Arctic Sea ice Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Antarctic Arctic Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
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 Text
author Zampieri, Lorenzo
Goessling, Helge F.
Jung, Thomas
spellingShingle Zampieri, Lorenzo
Goessling, Helge F.
Jung, Thomas
Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
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
publisher FID GEO
publishDate 2019
url https://dx.doi.org/10.23689/fidgeo-4685
https://e-docs.geo-leo.de/handle/11858/9031
geographic Antarctic
Arctic
Southern Ocean
geographic_facet Antarctic
Arctic
Southern Ocean
genre Antarc*
Antarctic
Antarctica
Arctic
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctic
Antarctica
Arctic
Sea ice
Southern Ocean
op_doi https://doi.org/10.23689/fidgeo-4685
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