ICESat-2 Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: Coastal Alaska ...
This dataset is derived from the ICESat-2 Global Geolocated Photon Height Product (ATL03, Neumann et al., 2023), release 006, using the University of Maryland-Ridge Detection Algorithm (UMD-RDA, Duncan & Farrell, 2022). The UMD-RDA is applied to ATL03 granules on a per-shot basis, nominally resu...
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2024
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| Online Access: | https://dx.doi.org/10.5281/zenodo.12188016 https://zenodo.org/doi/10.5281/zenodo.12188016 |
| Summary: | This dataset is derived from the ICESat-2 Global Geolocated Photon Height Product (ATL03, Neumann et al., 2023), release 006, using the University of Maryland-Ridge Detection Algorithm (UMD-RDA, Duncan & Farrell, 2022). The UMD-RDA is applied to ATL03 granules on a per-shot basis, nominally resulting in elevation measurements at ICESat-2's along-track sampling of ~0.7 m. Data Bounds: LL corner: (-169.71, 68.32), UR corner: (-137.1, 72.18) File Format Coastal Alaska data are provided in .xz compressed format and decompress to ascii text. The columns are as follows: Longitude (degrees) Latitude (degrees) Time (seconds since 2018-01-01) Elevation (meters, relative to DTU18 Mean Sea Surface) Data are provided monthly for the period December 2021 (202112) to May 2022 (202205). Users of this dataset are asked to cite the following publication: Duncan, K. and Farrell, S. L. (2022). Determining Variability in Arctic Sea Ice Pressure Ridge Topography with ICESat-2. Geophys. Res. Lett., 49, e2022GL100272. ... |
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