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The Cryosphere An interactive open-access journal of the European Geosciences Union
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TC | Volume 13, issue 3
The Cryosphere, 13, 895–910, 2019
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 Cryosphere, 13, 895–910, 2019
https://doi.org/10.5194/tc-13-895-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Mar 2019

Research article | 15 Mar 2019

Sensitivity of glacier volume change estimation to DEM void interpolation

Robert McNabb et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (30 Jan 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Feb 2019) by Daniel Farinotti
RR by Anonymous Referee #2 (18 Feb 2019)
ED: Publish subject to minor revisions (review by editor) (22 Feb 2019) by Daniel Farinotti
AR by Robert McNabb on behalf of the Authors (26 Feb 2019)  Author's response    Manuscript
ED: Publish as is (27 Feb 2019) by Daniel Farinotti
Publications Copernicus
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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.
Estimating glacier changes involves measuring elevation changes, often using elevation models...
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