Linear Kinematic Features (leads & pressure ridges) detected and tracked in RADARSAT Geophysical Processor System (RGPS) sea-ice deformation data 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-...
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | English |
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PANGAEA
2019
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.1594/pangaea.898114 https://doi.pangaea.de/10.1594/PANGAEA.898114 |
| Summary: | 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 data 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. A detailed description of the data-set and of the algorithms deriving it 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 Discuss., https://doi.org/10.5194/tc-2018-207, accepted for publication, 2018 ... : Supplement to: 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 ... |
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