@article{fdi:010088627, title = {{A} method to estimate surface mass-balance in glacier accumulation areas based on digital elevation models and submergence velocities}, author = {{J}ourdain, {B}. and {V}incent, {C}. and {R}eveillet, {M}arion and {R}abatel, {A}. and {B}run, {F}. and {S}ix, {D}. and {L}aarman, {O}. and {P}iard, {L}. and {G}inot, {P}atrick and {S}anchez, {O}. and {B}erthier, {E}.}, editor = {}, language = {{ENG}}, abstract = {{M}easuring 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. {H}ere, we propose a method that can solve both these problems for many locations. {G}round-penetrating radar measurements and firn cores extracted from a site in the {F}rench {A}lps were first used to reconstruct the topography of a buried end-of-summer snow horizon from a past year. {U}sing these data and surface elevation observations from {L}i{DAR} and {G}lobal {N}avigation {S}atellite {S}ystem instruments, we calculated the submergence velocities over the period between the buried horizon and more recent surface elevation observations. {T}he 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. {A}ssuming 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. {A}s 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.}, keywords = {{A}ccumulation ; glacier mass-balance ; ground-penetrating radar ; mountain ; glaciers ; {FRANCE} ; {ALPES}}, booktitle = {}, journal = {{J}ournal of {G}laciology}, volume = {69}, numero = {277}, pages = {1403--1418}, ISSN = {0022-1430}, year = {2023}, DOI = {10.1017/jog.2023.29}, URL = {https://www.documentation.ird.fr/hor/fdi:010088627}, }