Articles | Volume 13, issue 8
The Cryosphere, 13, 2189–2202, 2019
The Cryosphere, 13, 2189–2202, 2019
Research article
19 Aug 2019
Research article | 19 Aug 2019

Glacier thickness estimations of alpine glaciers using data and modeling constraints

Lisbeth Langhammer et al.

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Cited articles

Clarke, G. K., Anslow, F. S., Jarosch, A. H., Radić, V., Menounos, B., Bolch, T., and Berthier, E.: Ice volume and subglacial topography for western Canadian glaciers from mass balance fields, thinning rates, and a bed stress model, J. Climate, 26, 4282–4303, 2013. 
Constable, S. C., Parker, R. L., and Constable, C. G.: Occam's inversion: A practical algorithm for generating smooth models from electromagnetic sounding data, Geophysics, 52, 289–300, 1987. 
Cuffey, K. M. and Paterson, W. S. B.: The physics of glaciers, Academic Press, Amsterdam, the Netherlands, 2010. 
Evans, S.: Radio techniques for the measurement of ice thickness, Polar Rec., 11, 406–410, 1963. 
Farinotti, D., Huss, M., Bauder, A., Funk, M., and Truffer, M.: A method to estimate the ice volume and ice-thickness distribution of alpine glaciers, J. Glaciol., 55, 422–430, 2009. 
Short summary
We have developed a novel procedure for glacier thickness estimations that combines traditional glaciological modeling constraints with ground-truth data, for example, those obtained with ground-penetrating radar (GPR) measurements. This procedure is very useful for determining ice volume when only limited data are available. Furthermore, we outline a strategy for acquiring GPR data on glaciers, such that the cost/benefit ratio is optimized.