Inverse Problems Seminar - Basal Sliding Coefficient in a Nonlinear Stokes Ice Sheet Model
An inverse problem for the basal sliding coefficient in a nonlinear Stokes ice sheet modelDr. Olalekan BabaniyiAssistant ProfessorSchool of Mathematical Sciences, RITAbstract:Simulating the flow of ice sheets is an important problem for predicting the mass flux of ice into the oceans and sea level rise. This problem is modeled by the nonlinear Stokes equations, which contain several uncertain rheological parameters. The most uncertain of these parameters is the basal sliding coefficient, and it shows up as a parameter at the bottom boundary of the ice. In this talk, I will describe an inexact Newton conjugate gradient algorithm to infer the basal sliding coefficient from velocity data measured at the surface of the ice. I will show some simulation results where the algorithm is used to reconstruct the basal sliding coefficient of the Antarctic ice sheet.Speaker Bio:Olalekan Babaniyi is currently an assistant professor in the School of Mathematical Sciences at Rochester Institute of Technology (RIT). Prior to joining RIT, he was a postdoctoral scholar at the University of California, Merced, working on developing computational tools to solve large scale inverse problems. Prior to that, he was a postdoctoral associate at Duke university working on inverse problems in the medical imaging field. He earned his Bachelors, masters, and PhD degrees at Boston university where he began working on inverse problems as an undergraduate student.
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