Large Scale Bayesian Inversion for Flow of the Antarctic Ice Sheet
April 4, 2017 - 12:00pm to 1:00pm
Professor Omar Ghattas, Institute for Computational Engineering and Sciences
The flow of ice from the interior of polar ice sheets is the primary contributor to projected sea level rise. One of the main difficulties faced in modeling ice sheet flow is the uncertain spatially-varying coefficient of the Robin boundary condition that describes the resistance to sliding at the base of the ice. Satellite observations of the surface ice flow velocity, along with a model of ice as a creeping incompressible shear-thinning fluid, can be used to infer this uncertain basal boundary condition......
Carpenter, Ruby Nell