Articles | Volume 15, issue 4
https://doi.org/10.5194/tc-15-1731-2021
https://doi.org/10.5194/tc-15-1731-2021
Research article
 | 
09 Apr 2021
Research article |  | 09 Apr 2021

Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertainty

Olalekan Babaniyi, Ruanui Nicholson, Umberto Villa, and Noémi Petra

Model code and software

hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems (https://doi.org/10.5281/zenodo.3634136) U. Villa, N. Petra, and O. Ghattas https://doi.org/10.21105/joss.00940

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Short summary
We consider the problem of inferring unknown parameter fields under additional uncertainty for an ice sheet model from synthetic surface ice flow velocity measurements. Our results indicate that accounting for model uncertainty stemming from the presence of nuisance parameters is crucial. Namely our findings suggest that using nominal values for these parameters, as is often done in practice, without taking into account the resulting modeling error can lead to overconfident and biased results.