In a first part of the presentation, two different algorithms to better constrain simultaneously basal friction and bedrock elevation parameters (using more reliable surface observations) are presented. Both algorithms have been implemented in the finite element ice sheet and ice flow model Elmer/Ice and tested in a twin experiment showing a clear improvement of both parameters knowledge. The application of both algorithms to regions such as the Wilkes Land in Antarctica reduces the uncertainty on basal conditions, for instance providing more details to the bedrock geometry when compared to usual DEM. Moreover, the reconstruction of both bedrock elevation and basal friction significantly decreases ice flux divergence anomalies when compared to classical methods initialization methods. We finally study the impact of such inversion on prognostic simulation in order to compare the efficiency of the two algorithms to better constrain future ice-sheet contribution to sea level rise.
In a second part, we briefly show a piece of work consisting in the modelling of the Ross Ice Shelf (Antarctica) from regional scale (100-1000 km) to small scale (1m to 1 km) allowing a better understanding of the physical processes involved in the ice flow of the region.