Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008

Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-...

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Bibliographic Details
Main Author: Hutter, Nils
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.909636
https://doi.org/10.1594/PANGAEA.909636
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record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.909636 2023-05-15T14:28:07+02:00 Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008 Hutter, Nils 2019-12-06 application/zip, 258 MBytes https://doi.pangaea.de/10.1594/PANGAEA.909636 https://doi.org/10.1594/PANGAEA.909636 en eng PANGAEA Hutter, Nils; Losch, Martin (2020): Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations. The Cryosphere, 14(1), 93-113, https://doi.org/10.5194/tc-14-93-2020 Hutter, Nils; Zampieri, Lorenzo; Losch, Martin (2019): Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. The Cryosphere, 13(2), 627-645, https://doi.org/10.5194/tc-13-627-2019 Hutter, Nils; Zampieri, Lorenzo; Losch, Martin (2019): Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.898114 https://doi.pangaea.de/10.1594/PANGAEA.909636 https://doi.org/10.1594/PANGAEA.909636 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess CC-BY Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven Arctic lead-permitting sea-ice simulations leads LKFs MITgcm pressure ridges sea ice modeling Dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.909636 https://doi.org/10.5194/tc-14-93-2020 https://doi.org/10.5194/tc-13-627-2019 2023-01-20T09:12:56Z Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-set includes LKFs that were detected and tracked in sea ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing. The model data is sampled for the entire observing period of the RADARSAT Geophysical Processor System (RGPS). The data-set spans the winter month (November to May) from 1997 to 2008 and covers the entire Arctic Ocean. A detailed description of the model configuration and the data-set is provided in: Hutter, N. and Losch, M.: Feature-based comparison of sea-ice deformation in lead-resolving sea-ice simulations, The Cryosphere, https://doi.org/10.5194/tc-2019-88, accepted for publication, 2019. A detailed description of the algorithms deriving the data set is provided in: Hutter, N., Zampieri, L., and Losch, M.: Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm, The Cryosphere, 13, 627-645, https://doi.org/10.5194/tc-13-627-2019, 2019. Dataset Arctic Arctic Arctic Ocean Sea ice The Cryosphere PANGAEA - Data Publisher for Earth & Environmental Science Arctic Arctic Ocean
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic Arctic
lead-permitting sea-ice simulations
leads
LKFs
MITgcm
pressure ridges
sea ice modeling
spellingShingle Arctic
lead-permitting sea-ice simulations
leads
LKFs
MITgcm
pressure ridges
sea ice modeling
Hutter, Nils
Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008
topic_facet Arctic
lead-permitting sea-ice simulations
leads
LKFs
MITgcm
pressure ridges
sea ice modeling
description Leads and pressure ridges are dominant features of the Arctic sea ice cover. Not only do they affect heat loss and surface drag, but also provide insight into the underlying physics of sea ice deformation. Due to their elongated shape they are referred as Linear Kinematic Features (LKFs). This data-set includes LKFs that were detected and tracked in sea ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing. The model data is sampled for the entire observing period of the RADARSAT Geophysical Processor System (RGPS). The data-set spans the winter month (November to May) from 1997 to 2008 and covers the entire Arctic Ocean. A detailed description of the model configuration and the data-set is provided in: Hutter, N. and Losch, M.: Feature-based comparison of sea-ice deformation in lead-resolving sea-ice simulations, The Cryosphere, https://doi.org/10.5194/tc-2019-88, accepted for publication, 2019. A detailed description of the algorithms deriving the data set is provided in: Hutter, N., Zampieri, L., and Losch, M.: Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm, The Cryosphere, 13, 627-645, https://doi.org/10.5194/tc-13-627-2019, 2019.
format Dataset
author Hutter, Nils
author_facet Hutter, Nils
author_sort Hutter, Nils
title Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008
title_short Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008
title_full Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008
title_fullStr Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008
title_full_unstemmed Linear Kinematic Features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an Arctic configuration of MITgcm using a 2-km horizontal grid spacing from 1997 to 2008
title_sort linear kinematic features (leads & pressure ridges) detected and tracked in sea-ice deformation simulated in an arctic configuration of mitgcm using a 2-km horizontal grid spacing from 1997 to 2008
publisher PANGAEA
publishDate 2019
url https://doi.pangaea.de/10.1594/PANGAEA.909636
https://doi.org/10.1594/PANGAEA.909636
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic
Arctic Ocean
Sea ice
The Cryosphere
genre_facet Arctic
Arctic
Arctic Ocean
Sea ice
The Cryosphere
op_source Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
op_relation Hutter, Nils; Losch, Martin (2020): Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations. The Cryosphere, 14(1), 93-113, https://doi.org/10.5194/tc-14-93-2020
Hutter, Nils; Zampieri, Lorenzo; Losch, Martin (2019): Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm. The Cryosphere, 13(2), 627-645, https://doi.org/10.5194/tc-13-627-2019
Hutter, Nils; Zampieri, Lorenzo; Losch, Martin (2019): Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data from 1997 to 2008. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.898114
https://doi.pangaea.de/10.1594/PANGAEA.909636
https://doi.org/10.1594/PANGAEA.909636
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/PANGAEA.909636
https://doi.org/10.5194/tc-14-93-2020
https://doi.org/10.5194/tc-13-627-2019
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