Articles | Volume 16, issue 2
https://doi.org/10.5194/tc-16-505-2022
https://doi.org/10.5194/tc-16-505-2022
Research article
 | 
11 Feb 2022
Research article |  | 11 Feb 2022

GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient

Achille Capelli, Franziska Koch, Patrick Henkel, Markus Lamm, Florian Appel, Christoph Marty, and Jürg Schweizer

Related authors

Technical note: Literature based approach to estimate future snow
Bettina Richter and Christoph Marty
EGUsphere, https://doi.org/10.5194/egusphere-2025-3518,https://doi.org/10.5194/egusphere-2025-3518, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Supershear crack propagation in snow slab avalanche release: new insights from numerical simulations and field measurements
Grégoire Bobillier, Bertil Trottet, Bastian Bergfeld, Ron Simenhois, Alec van Herwijnen, Jürg Schweizer, and Johan Gaume
Nat. Hazards Earth Syst. Sci., 25, 2215–2223, https://doi.org/10.5194/nhess-25-2215-2025,https://doi.org/10.5194/nhess-25-2215-2025, 2025
Short summary
The source, quantity, and spatial distribution of interfacial water during glide-snow avalanche release: experimental evidence from field monitoring
Amelie Fees, Michael Lombardo, Alec van Herwijnen, Peter Lehmann, and Jürg Schweizer
The Cryosphere, 19, 1453–1468, https://doi.org/10.5194/tc-19-1453-2025,https://doi.org/10.5194/tc-19-1453-2025, 2025
Short summary
Towards deep-learning solutions for classification of automated snow height measurements (CleanSnow v1.0.2)
Jan Svoboda, Marc Ruesch, David Liechti, Corinne Jones, Michele Volpi, Michael Zehnder, and Jürg Schweizer
Geosci. Model Dev., 18, 1829–1849, https://doi.org/10.5194/gmd-18-1829-2025,https://doi.org/10.5194/gmd-18-1829-2025, 2025
Short summary
Quantification of capillary rise dynamics in snow using neutron radiography
Michael Lombardo, Amelie Fees, Anders Kaestner, Alec van Herwijnen, Jürg Schweizer, and Peter Lehmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-304,https://doi.org/10.5194/egusphere-2025-304, 2025
Short summary

Cited articles

Appel, F., Koch, F., Rösel, A., Klug, P., Henkel, P., Lamm, M., Mauser, W., and Bach, H.: Advances in snow hydrology using a combined approach of GNSS in situ stations, hydrological modelling and Earth observation: a case study in Canada, Geosciences, 9, 44, https://doi.org/10.3390/geosciences9010044, 2019. 
Avanzi, F., Bianchi, A., Cina, A., De Michele, C., Maschio, P., Pagliari, D., Passoni, D., Pinto, L., Piras, M., and Rossi, L.: Centimetric accuracy in snow depth using unmanned aerial system photogrammetry and a MultiStation, Remote Sensing, 10, 765, https://doi.org/10.3390/rs10050765, 2018. 
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and Zemp, M.: The concept of essential climate variables in support of climate research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443, https://doi.org/10.1175/bams-d-13-00047.1, 2014. 
Boniface, K., Braun, J. J., McCreight, J. L., and Nievinski, F. G.: Comparison of snow data assimilation system with GPS reflectometry snow depth in the Western United States, Hydrol. Process., 29, 2425–2437, https://doi.org/10.1002/hyp.10346, 2015. 
Botteron, C., Dawes, N., Leclere, J., Skaloud, J., Weijs, S. V., and Farine, P. A.: Soil moisture & snow properties determination with GNSS in Alpine environments: Challenges, status, and perspectives, Remote Sensing, 5, 3516–3543, https://doi.org/10.3390/rs5073516, 2013. 
Download
Short summary
Snow occurrence, snow amount, snow density and liquid water content (LWC) can vary considerably with climatic conditions and elevation. We show that low-cost Global Navigation Satellite System (GNSS) sensors as GPS can be used for reliably measuring the amount of water stored in the snowpack or snow water equivalent (SWE), snow depth and the LWC under a broad range of climatic conditions met at different elevations in the Swiss Alps.
Share