Abstract. Alpine glaciers are shrinking and rapidly loosing mass in a warming
climate. Glacier modeling is required to assess the future
consequences of these retreats on water resources, the hydropower
industry and risk management. However, the performance of such ice
flow modeling is generally difficult to evaluate because of the lack
of long-term glaciological observations. Here, we assess the
performance of the Elmer/Ice full Stokes ice flow model using the long
dataset of mass balance, thickness change, ice flow velocity and snout
fluctuation measurements obtained between 1979 and 2015 on the Mer de
Glace glacier, France. Ice flow modeling results are compared in
detail to comprehensive glaciological observations over 4 decades
including both a period of glacier expansion preceding a long period
of decay. To our knowledge, a comparison to data at this detail is
unprecedented. We found that the model accurately reconstructs the
velocity, elevation and length variations of this glacier despite some
discrepancies that remain unexplained. The calibrated and validated
model was then applied to simulate the future evolution of Mer de
Glace from 2015 to 2050 using 26 different climate
scenarios. Depending on the climate scenarios, the largest glacier in
France, with a length of 20 km, could retreat by 2 to
6 km over the next 3 decades.