Articles | Volume 13, issue 3
https://doi.org/10.5194/tc-13-895-2019
https://doi.org/10.5194/tc-13-895-2019
Research article
 | 
15 Mar 2019
Research article |  | 15 Mar 2019

Sensitivity of glacier volume change estimation to DEM void interpolation

Robert McNabb, Christopher Nuth, Andreas Kääb, and Luc Girod

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Cited articles

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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.
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