A method to estimate surface mass-balance in glacier accumulation areas based on digital elevation models and submergence velocities
Year: 2023
Type: article
Abstract: Measuring surface mass-balance in the accumulation areas of glaciers is challenging because of the high spatial variability of snow accumulation and the difficulty of conducting annual field glaciological measurements. Here, we propose a method that can solve both these problems for many locations. Ground-penetrating radar measurements and firn cores extracted from a site in the French Alps were first used to reconstruct the topography of a buried end-of-summer snow horizon from a past year. Using these data and surface elevation observations from LiDAR and Global Navigation Satellite System instruments, we calculated the submergence velocities over the period between the buried horizon and more recent surface elevation observations. The differences between the changes in surface elevation and the submergence velocities were then used to calculate the annual surface mass-balances with an accuracy of ±0.34 m w.e. Assuming that the submergence velocities remain stable over several years, the surface mass-balance can be reconstructed for subsequent years from the differences in surface elevation alone. As opposed to the glaciological method that requires substantial fieldwork year after year to provide only point observations, this method, once submergence velocities have been calculated, requires only remote-sensing data to provide spatially distributed annual mass-balances in accumulation areas.
Source: Journal of Glaciology
DOI: 10.1017/jog.2023.29
Institutions: Centre National de la Recherche Scientifique, Institut des Géosciences de l'Environnement, Institut de Recherche pour le Développement, Université Grenoble Alpes, Université Toulouse III - Paul Sabatier, Centre National d'Études Spatiales, Laboratoire d’Études en Géophysique et Océanographie Spatiales, Université de Toulouse
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $2,154
OpenAlex ID: W4382600165
