Gridded 10 km Arctic sea ice deformation data derived from the ICESat-2 University of Maryland-Ridge Detection Algorithm
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| Format: | Dataset Open Access |
| Sprache: | en |
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PANGAEA
2026
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| _version_ | 1867168242411241472 |
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| author | Duncan, Kyle Farrell, Sinead L |
| author_facet | Duncan, Kyle Farrell, Sinead L |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This data-set contains sea ice deformation variables at the pan-Arctic scale (> 60 degrees N), on a 10 km Equal-Area Scalable Earth Grid 2.0 (EASE2) for each month from October 2018 to September 2025. Deformation variables are obtained by applying the University of Maryland-Ridge Detection Algorithm (UMD-RDA) (Duncan & Farrell, 2022), a surface retracker, to the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) global geolocated photon heights product (ATL03) (Neumann et al., 2023; Neumann et al., 2025). From the sea ice surface topography obtained by the UMD-RDA, deformation variables such as surface roughness, pressure ridge sail height, maximum sail height, sail width and sail spacing, pressure ridge length, and ridging intensity are derived. Each deformation variable is accompanied by the number of measurements per grid cell (indicated with suffix n) and a separate interpolated variable (indicated with suffix interp). Interpolated variables are bounded where the AMSR2 monthly mean sea ice concentration (Spreen et al., 2008), provided in each file, is greater than or equal to 15%. Please refer to the provided "User Guide" for further information about this product. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_990265 |
| institution | PANGAEA |
| language | en |
| publishDate | 2026 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Gridded 10 km Arctic sea ice deformation data derived from the ICESat-2 University of Maryland-Ridge Detection Algorithm Duncan, Kyle Farrell, Sinead L Arctic; DATE/TIME; ICESat-2; ICESat-2_pan-Arctic; netCDF file; netCDF file (File Size); SAT; Satellite remote sensing; Sea ice; sea ice roughness This data-set contains sea ice deformation variables at the pan-Arctic scale (> 60 degrees N), on a 10 km Equal-Area Scalable Earth Grid 2.0 (EASE2) for each month from October 2018 to September 2025. Deformation variables are obtained by applying the University of Maryland-Ridge Detection Algorithm (UMD-RDA) (Duncan & Farrell, 2022), a surface retracker, to the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) global geolocated photon heights product (ATL03) (Neumann et al., 2023; Neumann et al., 2025). From the sea ice surface topography obtained by the UMD-RDA, deformation variables such as surface roughness, pressure ridge sail height, maximum sail height, sail width and sail spacing, pressure ridge length, and ridging intensity are derived. Each deformation variable is accompanied by the number of measurements per grid cell (indicated with suffix n) and a separate interpolated variable (indicated with suffix interp). Interpolated variables are bounded where the AMSR2 monthly mean sea ice concentration (Spreen et al., 2008), provided in each file, is greater than or equal to 15%. Please refer to the provided "User Guide" for further information about this product. |
| title | Gridded 10 km Arctic sea ice deformation data derived from the ICESat-2 University of Maryland-Ridge Detection Algorithm |
| topic | Arctic; DATE/TIME; ICESat-2; ICESat-2_pan-Arctic; netCDF file; netCDF file (File Size); SAT; Satellite remote sensing; Sea ice; sea ice roughness |
| url | https://doi.org/10.1594/PANGAEA.990265 |