Articles | Volume 19, issue 3
https://doi.org/10.5194/tc-19-1013-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-1013-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Mar 2025
Research article |
| 06 Mar 2025
| 06 Mar 2025
Spatiotemporal patterns of accumulation and surface roughness in interior Greenland with a GNSS-IR network
Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA
Robert L. Hawley
Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA
Adam LeWinter
Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA
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This preprint is open for discussion and under review for The Cryosphere (TC).
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We compared satellite measurements of ice surface height in Greenland with ground-based observations, revealing sub-centimeter accuracy of the satellite instrument. We also demonstrated a new autonomous method using reflected radio signals to measure the surface without human traverses. This method produces comparable results, and we find no long-term changes in satellite performance to date.
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We compared satellite measurements of ice surface height in Greenland with ground-based observations, revealing sub-centimeter accuracy of the satellite instrument. We also demonstrated a new autonomous method using reflected radio signals to measure the surface without human traverses. This method produces comparable results, and we find no long-term changes in satellite performance to date.
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Short summary
We use a low-cost, low-power GNSS network to measure surface accumulation in Greenland's interior using the interferometric reflectometry technique. Additionally, we extend this method to also estimate centimeter- to meter-scale surface roughness. Our results closely align with a validation record and highlight a period of unusually high accumulation from late 2022 to 2023, along with seasonal variations in surface roughness.
We use a low-cost, low-power GNSS network to measure surface accumulation in Greenland's...
