Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow
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 Robin boundary condition that describes the resistance to sliding at the base of the ice. Sat...
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ftkingabdullahun:oai:repository.kaust.edu.sa:10754/624114 2023-12-31T09:59:22+01:00 Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow Ghattas, Omar University of Texas 2015-01-07 application/pdf http://hdl.handle.net/10754/624114 unknown http://mediasite.kaust.edu.sa/Mediasite/Play/563828f0ab6d4a37a528d63b1beb0ee81d?catalog=ca65101c-a4eb-4057-9444-45f799bd9c52 http://hdl.handle.net/10754/624114 Presentation 2015 ftkingabdullahun 2023-12-02T20:17:53Z 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 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. We cast this ill-posed inverse problem in the framework of Bayesian inference, which allows us to infer not only the basal sliding parameters, but also the associated uncertainty. To overcome the prohibitive nature of Bayesian methods for large-scale inverse problems, we exploit the fact that, despite the large size of observational data, they typically provide only sparse information on model parameters. We show results for Bayesian inversion of the basal sliding parameter field for the full Antarctic continent, and demonstrate that the work required to solve the inverse problem, measured in number of forward (and adjoint) ice sheet model solves, is independent of the parameter and data dimensions Conference Object Antarc* Antarctic Ice Sheet King Abdullah University of Science and Technology: KAUST Repository |
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Open Polar |
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King Abdullah University of Science and Technology: KAUST Repository |
op_collection_id |
ftkingabdullahun |
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unknown |
description |
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 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. We cast this ill-posed inverse problem in the framework of Bayesian inference, which allows us to infer not only the basal sliding parameters, but also the associated uncertainty. To overcome the prohibitive nature of Bayesian methods for large-scale inverse problems, we exploit the fact that, despite the large size of observational data, they typically provide only sparse information on model parameters. We show results for Bayesian inversion of the basal sliding parameter field for the full Antarctic continent, and demonstrate that the work required to solve the inverse problem, measured in number of forward (and adjoint) ice sheet model solves, is independent of the parameter and data dimensions |
author2 |
University of Texas |
format |
Conference Object |
author |
Ghattas, Omar |
spellingShingle |
Ghattas, Omar Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow |
author_facet |
Ghattas, Omar |
author_sort |
Ghattas, Omar |
title |
Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow |
title_short |
Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow |
title_full |
Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow |
title_fullStr |
Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow |
title_full_unstemmed |
Bayesian Inversion for Large Scale Antarctic Ice Sheet Flow |
title_sort |
bayesian inversion for large scale antarctic ice sheet flow |
publishDate |
2015 |
url |
http://hdl.handle.net/10754/624114 |
genre |
Antarc* Antarctic Ice Sheet |
genre_facet |
Antarc* Antarctic Ice Sheet |
op_relation |
http://mediasite.kaust.edu.sa/Mediasite/Play/563828f0ab6d4a37a528d63b1beb0ee81d?catalog=ca65101c-a4eb-4057-9444-45f799bd9c52 http://hdl.handle.net/10754/624114 |
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1786837588626112512 |