Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 4.713
IF4.713
IF 5-year value: 4.927
IF 5-year
4.927
CiteScore value: 8.0
CiteScore
8.0
SNIP value: 1.425
SNIP1.425
IPP value: 4.65
IPP4.65
SJR value: 2.353
SJR2.353
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 53
h5-index53
TC | Articles | 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.

Related authors

How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment
Daniel Farinotti, Douglas J. Brinkerhoff, Garry K. C. Clarke, Johannes J. Fürst, Holger Frey, Prateek Gantayat, Fabien Gillet-Chaulet, Claire Girard, Matthias Huss, Paul W. Leclercq, Andreas Linsbauer, Horst Machguth, Carlos Martin, Fabien Maussion, Mathieu Morlighem, Cyrille Mosbeux, Ankur Pandit, Andrea Portmann, Antoine Rabatel, RAAJ Ramsankaran, Thomas J. Reerink, Olivier Sanchez, Peter A. Stentoft, Sangita Singh Kumari, Ward J. J. van Pelt, Brian Anderson, Toby Benham, Daniel Binder, Julian A. Dowdeswell, Andrea Fischer, Kay Helfricht, Stanislav Kutuzov, Ivan Lavrentiev, Robert McNabb, G. Hilmar Gudmundsson, Huilin Li, and Liss M. Andreassen
The Cryosphere, 11, 949–970, https://doi.org/10.5194/tc-11-949-2017,https://doi.org/10.5194/tc-11-949-2017, 2017
Short summary

Related subject area

Discipline: Glaciers | Subject: Remote Sensing
The seasonal evolution of albedo across glaciers and the surrounding landscape of Taylor Valley, Antarctica
Anna Bergstrom, Michael N. Gooseff, Madeline Myers, Peter T. Doran, and Julian M. Cross
The Cryosphere, 14, 769–788, https://doi.org/10.5194/tc-14-769-2020,https://doi.org/10.5194/tc-14-769-2020, 2020
Short summary
Variability of glacier albedo and links to annual mass balance for the Gardens of Eden and Allah, Southern Alps, New Zealand
Angus J. Dowson, Pascal Sirguey, and Nicolas J. Cullen
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-5,https://doi.org/10.5194/tc-2020-5, 2020
Revised manuscript accepted for TC
Short summary
Recent glacier and lake changes in High Mountain Asia and their relation to precipitation changes
Désirée Treichler, Andreas Kääb, Nadine Salzmann, and Chong-Yu Xu
The Cryosphere, 13, 2977–3005, https://doi.org/10.5194/tc-13-2977-2019,https://doi.org/10.5194/tc-13-2977-2019, 2019
Short summary
Multisensor validation of tidewater glacier flow fields derived from synthetic aperture radar (SAR) intensity tracking
Christoph Rohner, David Small, Jan Beutel, Daniel Henke, Martin P. Lüthi, and Andreas Vieli
The Cryosphere, 13, 2953–2975, https://doi.org/10.5194/tc-13-2953-2019,https://doi.org/10.5194/tc-13-2953-2019, 2019
Short summary
Detecting dynamics of cave floor ice with selective cloud-to-cloud approach
Jozef Šupinský, Ján Kaňuk, Zdenko Hochmuth, and Michal Gallay
The Cryosphere, 13, 2835–2851, https://doi.org/10.5194/tc-13-2835-2019,https://doi.org/10.5194/tc-13-2835-2019, 2019
Short summary

Cited articles

Abermann, J., Fischer, A., Lambrecht, A., and Geist, T.: On the potential of very high-resolution repeat DEMs in glacial and periglacial environments, The Cryosphere, 4, 53–65, https://doi.org/10.5194/tc-4-53-2010, 2010. a
Andreassen, L. M., Elvehøy, H., Kjøllmoen, B., and Engeset, R. V.: Reanalysis of long-term series of glaciological and geodetic mass balance for 10 Norwegian glaciers, The Cryosphere, 10, 535–552, https://doi.org/10.5194/tc-10-535-2016, 2016. a, b
Arendt, A. A., Echelmeyer, K. A., Harrison, W. D., Lingle, C. S., and Valentine, V. B.: Rapid Wastage of Alaska Glaciers and Their Contribution to Rising Sea Level, Science, 297, 382–386, https://doi.org/10.1126/science.1072497, 2002. a, b, c, d, e
Arendt, A. A., Echelmeyer, K. A., Harrison, W. D., Lingle, C. S., Zirnheld, S. L., Valentine, V. B., Ritchie, J. B., and Druckenmiller, M.: Updated estimates of glacier volume changes in the western Chugach Mountains, Alaska, and a comparison of regional extrapolation methods, J. Geophys. Res., 111, F03019, https://doi.org/10.1029/2005JF000436, 2006. a, b
Bamber, J. L. and Rivera, A.: A review of remote sensing methods for glacier mass balance determination, Global Planet. Change, 59, 138–148, https://doi.org/10.1016/j.gloplacha.2006.11.031, 2007. a
Publications Copernicus
Download
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...
Citation