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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Online Access: | https://zenodo.org/record/2571613 https://doi.org/10.5194/tc-13-521-2019 |
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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 |
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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 |
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13 |
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2 |
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521 |
op_container_end_page |
543 |
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