On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses

The ocean–sea ice reanalyses are one of the main sources of Arctic sea ice thickness data both in terms of spatial and temporal resolution, since observations are still sparse in time and space. In this work, we first aim at comparing how the sea ice thickness from an ensemble of 14 reanalyses compa...

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Published in:The Cryosphere
Main Authors: Ponsoni, Leandro, Massonnet, François, Fichefet, Thierry, Chevallier, Matthieu, Docquier, David
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://zenodo.org/record/2571613
https://doi.org/10.5194/tc-13-521-2019
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spelling ftzenodo:oai:zenodo.org:2571613 2023-05-15T14:54:12+02:00 On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses Ponsoni, Leandro Massonnet, François Fichefet, Thierry Chevallier, Matthieu Docquier, David 2019-02-14 https://zenodo.org/record/2571613 https://doi.org/10.5194/tc-13-521-2019 eng eng info:eu-repo/grantAgreement/EC/H2020/641727/ info:eu-repo/grantAgreement/EC/H2020/727862/ https://zenodo.org/communities/applicate https://zenodo.org/record/2571613 https://doi.org/10.5194/tc-13-521-2019 oai:zenodo.org:2571613 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode The Cryosphere 13 521–543 Arctic sea ice thickness timescale length scale reanalyses info:eu-repo/semantics/article publication-article 2019 ftzenodo https://doi.org/10.5194/tc-13-521-2019 2023-03-11T01:39:02Z The ocean–sea ice reanalyses are one of the main sources of Arctic sea ice thickness data both in terms of spatial and temporal resolution, since observations are still sparse in time and space. In this work, we first aim at comparing how the sea ice thickness from an ensemble of 14 reanalyses compares with different sources of observations, such as moored upward-looking sonars, submarines, airbornes, satellites, and ice boreholes. Second, based on the same reanalyses, we intend to characterize the timescales (persistence) and length scales of sea ice thickness anomalies. We investigate whether data assimilation of sea ice concentration by the reanalyses impacts the realism of sea ice thickness as well as its respective timescales and length scales. The results suggest that reanalyses with sea ice data assimilation do not necessarily perform better in terms of sea ice thickness compared with the reanalyses which do not assimilate sea ice concentration. However, data assimilation has a clear impact on the timescales and length scales: reanalyses built with sea ice data assimilation present shorter timescales and length scales. The mean timescales and length scales for reanalyses with data assimilation vary from 2.5 to 5.0 months and 337.0 to 732.5 km, respectively, while reanalyses with no data assimilation are characterized by values from 4.9 to 7.8 months and 846.7 to 935.7 km, respectively. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Zenodo Arctic The Cryosphere 13 2 521 543
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Arctic sea ice thickness
timescale
length scale
reanalyses
spellingShingle Arctic sea ice thickness
timescale
length scale
reanalyses
Ponsoni, Leandro
Massonnet, François
Fichefet, Thierry
Chevallier, Matthieu
Docquier, David
On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
topic_facet Arctic sea ice thickness
timescale
length scale
reanalyses
description The ocean–sea ice reanalyses are one of the main sources of Arctic sea ice thickness data both in terms of spatial and temporal resolution, since observations are still sparse in time and space. In this work, we first aim at comparing how the sea ice thickness from an ensemble of 14 reanalyses compares with different sources of observations, such as moored upward-looking sonars, submarines, airbornes, satellites, and ice boreholes. Second, based on the same reanalyses, we intend to characterize the timescales (persistence) and length scales of sea ice thickness anomalies. We investigate whether data assimilation of sea ice concentration by the reanalyses impacts the realism of sea ice thickness as well as its respective timescales and length scales. The results suggest that reanalyses with sea ice data assimilation do not necessarily perform better in terms of sea ice thickness compared with the reanalyses which do not assimilate sea ice concentration. However, data assimilation has a clear impact on the timescales and length scales: reanalyses built with sea ice data assimilation present shorter timescales and length scales. The mean timescales and length scales for reanalyses with data assimilation vary from 2.5 to 5.0 months and 337.0 to 732.5 km, respectively, while reanalyses with no data assimilation are characterized by values from 4.9 to 7.8 months and 846.7 to 935.7 km, respectively.
format Article in Journal/Newspaper
author Ponsoni, Leandro
Massonnet, François
Fichefet, Thierry
Chevallier, Matthieu
Docquier, David
author_facet Ponsoni, Leandro
Massonnet, François
Fichefet, Thierry
Chevallier, Matthieu
Docquier, David
author_sort Ponsoni, Leandro
title On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
title_short On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
title_full On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
title_fullStr On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
title_full_unstemmed On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
title_sort on the timescales and length scales of the arctic sea ice thickness anomalies: a study based on 14 reanalyses
publishDate 2019
url https://zenodo.org/record/2571613
https://doi.org/10.5194/tc-13-521-2019
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
The Cryosphere
genre_facet Arctic
Sea ice
The Cryosphere
op_source The Cryosphere 13 521–543
op_relation info:eu-repo/grantAgreement/EC/H2020/641727/
info:eu-repo/grantAgreement/EC/H2020/727862/
https://zenodo.org/communities/applicate
https://zenodo.org/record/2571613
https://doi.org/10.5194/tc-13-521-2019
oai:zenodo.org:2571613
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5194/tc-13-521-2019
container_title The Cryosphere
container_volume 13
container_issue 2
container_start_page 521
op_container_end_page 543
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