Articles | Volume 13, issue 3
https://doi.org/10.5194/tc-13-895-2019
© Author(s) 2019. 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-13-895-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Sensitivity of glacier volume change estimation to DEM void interpolation
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Christopher Nuth
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Andreas Kääb
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Luc Girod
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
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- Spatio-temporal variability in geometry and geodetic mass balance of Jostedalsbreen ice cap, Norway L. Andreassen et al. 10.1017/aog.2023.70
- Spatiotemporal Dynamics and Geodetic Mass Changes of Glaciers With Varying Debris Cover in the Pangong Region of Trans-Himalayan Ladakh, India Between 1990 and 2019 U. Majeed et al. 10.3389/feart.2021.748107
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Latest update: 14 Dec 2024
Short summary
Estimating glacier changes involves measuring elevation changes, often using elevation models derived from satellites. Many elevation models have data gaps (voids), which affect estimates of glacier change. We compare 11 methods for interpolating voids, finding that some methods bias estimates of glacier change by up to 20 %, though most methods have a smaller effect. Some methods produce reliable results even with large void areas, suggesting that noisy elevation data are still useful.
Estimating glacier changes involves measuring elevation changes, often using elevation models...