Articles | Volume 17, issue 6
https://doi.org/10.5194/tc-17-2285-2023
https://doi.org/10.5194/tc-17-2285-2023
Research article
 | 
08 Jun 2023
Research article |  | 08 Jun 2023

Constraining regional glacier reconstructions using past ice thickness of deglaciating areas – a case study in the European Alps

Christian Sommer, Johannes J. Fürst, Matthias Huss, and Matthias H. Braun

Related authors

Mass changes of the northern Antarctic Peninsula Ice Sheet derived from repeat bi-static synthetic aperture radar acquisitions for the period 2013–2017
Thorsten Seehaus, Christian Sommer, Thomas Dethinne, and Philipp Malz
The Cryosphere, 17, 4629–4644, https://doi.org/10.5194/tc-17-4629-2023,https://doi.org/10.5194/tc-17-4629-2023, 2023
Short summary
Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data
Livia Piermattei, Michael Zemp, Christian Sommer, Fanny Brun, Matthias H. Braun, Liss M. Andreassen, Joaquín M. C. Belart, Etienne Berthier, Atanu Bhattacharya, Laura Boehm Vock, Tobias Bolch, Amaury Dehecq, Inés Dussaillant, Daniel Falaschi, Caitlyn Florentine, Dana Floricioiu, Christian Ginzler, Gregoire Guillet, Romain Hugonnet, Matthias Huss, Andreas Kääb, Owen King, Christoph Klug, Friedrich Knuth, Lukas Krieger, Jeff La Frenierre, Robert McNabb, Christopher McNeil, Rainer Prinz, Louis Sass, Thorsten Seehaus, David Shean, Désirée Treichler, Anja Wendt, and Ruitang Yang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2309,https://doi.org/10.5194/egusphere-2023-2309, 2023
Short summary
Brief communication: Increased glacier mass loss in the Russian High Arctic (2010–2017)
Christian Sommer, Thorsten Seehaus, Andrey Glazovsky, and Matthias H. Braun
The Cryosphere, 16, 35–42, https://doi.org/10.5194/tc-16-35-2022,https://doi.org/10.5194/tc-16-35-2022, 2022
Short summary
Changes of the tropical glaciers throughout Peru between 2000 and 2016 – mass balance and area fluctuations
Thorsten Seehaus, Philipp Malz, Christian Sommer, Stefan Lippl, Alejo Cochachin, and Matthias Braun
The Cryosphere, 13, 2537–2556, https://doi.org/10.5194/tc-13-2537-2019,https://doi.org/10.5194/tc-13-2537-2019, 2019
Short summary

Related subject area

Discipline: Glaciers | Subject: Remote Sensing
A low-cost and open-source approach for supraglacial debris thickness mapping using UAV-based infrared thermography
Jérôme Messmer and Alexander Raphael Groos
The Cryosphere, 18, 719–746, https://doi.org/10.5194/tc-18-719-2024,https://doi.org/10.5194/tc-18-719-2024, 2024
Short summary
Refined glacial lake extraction in a high-Asia region by deep neural network and superpixel-based conditional random field methods
Yungang Cao, Rumeng Pan, Meng Pan, Ruodan Lei, Puying Du, and Xueqin Bai
The Cryosphere, 18, 153–168, https://doi.org/10.5194/tc-18-153-2024,https://doi.org/10.5194/tc-18-153-2024, 2024
Short summary
Annual to seasonal glacier mass balance in High Mountain Asia derived from Pléiades stereo images: examples from the Pamir and the Tibetan Plateau
Daniel Falaschi, Atanu Bhattacharya, Gregoire Guillet, Lei Huang, Owen King, Kriti Mukherjee, Philipp Rastner, Tandong Yao, and Tobias Bolch
The Cryosphere, 17, 5435–5458, https://doi.org/10.5194/tc-17-5435-2023,https://doi.org/10.5194/tc-17-5435-2023, 2023
Short summary
Out-of-the-box calving-front detection method using deep learning
Oskar Herrmann, Nora Gourmelon, Thorsten Seehaus, Andreas Maier, Johannes J. Fürst, Matthias H. Braun, and Vincent Christlein
The Cryosphere, 17, 4957–4977, https://doi.org/10.5194/tc-17-4957-2023,https://doi.org/10.5194/tc-17-4957-2023, 2023
Short summary
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking
Whyjay Zheng, Shashank Bhushan, Maximillian Van Wyk De Vries, William Kochtitzky, David Shean, Luke Copland, Christine Dow, Renette Jones-Ivey, and Fernando Pérez
The Cryosphere, 17, 4063–4078, https://doi.org/10.5194/tc-17-4063-2023,https://doi.org/10.5194/tc-17-4063-2023, 2023
Short summary

Cited articles

Abermann, J., Kuhn, M., and Fischer, A.: Climatic controls of glacier distribution and glacier changes in Austria, Ann. Glaciol., 52, 83–90, https://doi.org/10.3189/172756411799096222, 2011. 
Anonymous: DHM25. Das digitale Höhenmodell der Schweiz, swisstopo, https://www.swisstopo.admin.ch/de/geodata/height/dhm25.html (last access: 29 July 2022), 1–15, 2005. 
Berthier, E., Arnaud, Y., Vincent, C., and Rémy, F.: Biases of SRTM in high-mountain areas: Implications for the monitoring of glacier volume changes, Geophys. Res. Lett., 33, L08502, https://doi.org/10.1029/2006GL025862, 2006. 
Braun, M. H., Malz, P., Sommer, C., Farías-Barahona, D., Sauter, T., Casassa, G., Soruco, A., Skvarca, P., and Seehaus, T. C.: Constraining glacier elevation and mass changes in South America, Nat. Clim. Change, 9, 130–136, https://doi.org/10.1038/s41558-018-0375-7, 2019. 
Buckel, J. and Otto, J.-C.: The Austrian Glacier Inventory GI 4 (2015) in ArcGis (shapefile) format, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.887415, 2018. 
Download
Short summary
Knowledge on the volume of glaciers is important to project future runoff. Here, we present a novel approach to reconstruct the regional ice thickness distribution from easily available remote-sensing data. We show that past ice thickness, derived from spaceborne glacier area and elevation datasets, can constrain the estimated ice thickness. Based on the unique glaciological database of the European Alps, the approach will be most beneficial in regions without direct thickness measurements.