Glacier velocity maps over 2014-2019 on the Kenai Peninsula, Alaska
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2024
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| _version_ | 1867170126455898112 |
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| author | Yang, Ruitang |
| author_facet | Yang, Ruitang |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | We used the Python Glacier Evolution Model (PyGEM) to model monthly glacier-wide climatic mass balance and runoff for all glaciers on the Peninsula from 2005 to 2019. It estimates the climatic mass balance (the sum of accumulation, melt, and refreezing) for each glacier using ~10 m elevation bins, the ice thickness, and a monthly time step forced with near-surface air temperature and precipitation data. The model is calibrated by the Geodetic mass balance data and validated by the in-situ data from US Geological Survey Benchmark Glaciers datasets (https://doi.pangaea.de/10.1594/PANGAEA.970133). We also used the Sentinel-1 data basing offset tracking method to derive velocity maps for glaciers on the Kenai Peninsula from Oct 2014 to Dec 2019 (this dataset). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_971786 |
| institution | PANGAEA |
| language | en |
| publishDate | 2024 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Glacier velocity maps over 2014-2019 on the Kenai Peninsula, Alaska Yang, Ruitang Alaska; Coverage; Data collection date; Glacier; glacier runoff; Intensity-offset tracking algorithm, uncertainty; Kenai; Kenai_Peninsula_2014-2019; Mass balance; ORDINAL NUMBER; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Satellite imagery; SATI; Sensor unit; Time in days; Total uncertainty of median; Total uncertainty of median absolute deviation; Uncertainty of co-registration, median; Uncertainty of co-registration, median absolute deviation We used the Python Glacier Evolution Model (PyGEM) to model monthly glacier-wide climatic mass balance and runoff for all glaciers on the Peninsula from 2005 to 2019. It estimates the climatic mass balance (the sum of accumulation, melt, and refreezing) for each glacier using ~10 m elevation bins, the ice thickness, and a monthly time step forced with near-surface air temperature and precipitation data. The model is calibrated by the Geodetic mass balance data and validated by the in-situ data from US Geological Survey Benchmark Glaciers datasets (https://doi.pangaea.de/10.1594/PANGAEA.970133). We also used the Sentinel-1 data basing offset tracking method to derive velocity maps for glaciers on the Kenai Peninsula from Oct 2014 to Dec 2019 (this dataset). |
| title | Glacier velocity maps over 2014-2019 on the Kenai Peninsula, Alaska |
| topic | Alaska; Coverage; Data collection date; Glacier; glacier runoff; Intensity-offset tracking algorithm, uncertainty; Kenai; Kenai_Peninsula_2014-2019; Mass balance; ORDINAL NUMBER; Raster graphic, GeoTIFF format; Raster graphic, GeoTIFF format (File Size); Satellite imagery; SATI; Sensor unit; Time in days; Total uncertainty of median; Total uncertainty of median absolute deviation; Uncertainty of co-registration, median; Uncertainty of co-registration, median absolute deviation |
| url | https://doi.org/10.1594/PANGAEA.971786 |