Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-849-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-849-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Feb 2024
Research article |
| 23 Feb 2024
| 23 Feb 2024
A novel framework to investigate wind-driven snow redistribution over an Alpine glacier: combination of high-resolution terrestrial laser scans and large-eddy simulations
Annelies Voordendag
CORRESPONDING AUTHOR
Department of Atmospheric and Cryospheric Sciences, Universität Innsbruck, Innsbruck, Austria
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, Switzerland
Brigitta Goger
CORRESPONDING AUTHOR
Department of Atmospheric and Cryospheric Sciences, Universität Innsbruck, Innsbruck, Austria
Center for Climate Systems Modeling, ETH Zurich, Zurich, Switzerland
Rainer Prinz
Department of Atmospheric and Cryospheric Sciences, Universität Innsbruck, Innsbruck, Austria
Tobias Sauter
Geographisches Institut, Humboldt-Universität zu Berlin, Berlin, Germany
Thomas Mölg
Climate System Research Group, Institute of Geography, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
Manuel Saigger
Climate System Research Group, Institute of Geography, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany
Georg Kaser
Department of Atmospheric and Cryospheric Sciences, Universität Innsbruck, Innsbruck, Austria
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Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
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We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
A. B. Voordendag, B. Goger, C. Klug, R. Prinz, M. Rutzinger, and G. Kaser
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Annelies Voordendag, Marion Réveillet, Shelley MacDonell, and Stef Lhermitte
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A. B. Voordendag, B. Goger, C. Klug, R. Prinz, M. Rutzinger, and G. Kaser
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 153–160, https://doi.org/10.5194/isprs-annals-V-2-2021-153-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-153-2021, 2021
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Short summary
Wind-driven snow redistribution affects glacier mass balance. A case study of Hintereisferner glacier in Austria used high-resolution observations and simulations to model snow redistribution. Simulations matched observations, showing the potential of the model for studying snow redistribution on other mountain glaciers.
Wind-driven snow redistribution affects glacier mass balance. A case study of Hintereisferner...
