Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets
The future behavior of the West Antarctic Ice Sheet (WAIS) may have a major impact on future climate. For instance, ice sheet melt may contribute significantly to global sea level rise. Understanding the current state of WAIS is therefore of great interest. WAIS is drained by fast-flowing glaciers w...
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ftdatacite:10.48550/arxiv.1612.01454 2023-05-15T13:38:42+02:00 Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets Guan, Yawen Haran, Murali Pollard, David 2016 https://dx.doi.org/10.48550/arxiv.1612.01454 https://arxiv.org/abs/1612.01454 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Applications stat.AP FOS Computer and information sciences Preprint Article article CreativeWork 2016 ftdatacite https://doi.org/10.48550/arxiv.1612.01454 2022-04-01T10:53:31Z The future behavior of the West Antarctic Ice Sheet (WAIS) may have a major impact on future climate. For instance, ice sheet melt may contribute significantly to global sea level rise. Understanding the current state of WAIS is therefore of great interest. WAIS is drained by fast-flowing glaciers which are major contributors to ice loss. Hence, understanding the stability and dynamics of glaciers is critical for predicting the future of the ice sheet. Glacier dynamics are driven by the interplay between the topography, temperature and basal conditions beneath the ice. A glacier dynamics model describes the interactions between these processes. We develop a hierarchical Bayesian model that integrates multiple ice sheet surface data sets with a glacier dynamics model. Our approach allows us to (1) infer important parameters describing the glacier dynamics, (2) learn about ice sheet thickness, and (3) account for errors in the observations and the model. Because we have relatively dense and accurate ice thickness data from the Thwaites Glacier in West Antarctica, we use these data to validate the proposed approach. The long-term goal of this work is to have a general model that may be used to study multiple glaciers in the Antarctic. Keywords: ice sheet, glacier dynamics, hierarchical Bayes, Gaussian process, Markov chain Monte Carlo, West Antarctic ice sheet. Report Antarc* Antarctic Antarctica Ice Sheet Thwaites Glacier West Antarctica DataCite Metadata Store (German National Library of Science and Technology) Antarctic The Antarctic West Antarctica West Antarctic Ice Sheet Thwaites Glacier ENVELOPE(-106.750,-106.750,-75.500,-75.500) |
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Applications stat.AP FOS Computer and information sciences |
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Applications stat.AP FOS Computer and information sciences Guan, Yawen Haran, Murali Pollard, David Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets |
topic_facet |
Applications stat.AP FOS Computer and information sciences |
description |
The future behavior of the West Antarctic Ice Sheet (WAIS) may have a major impact on future climate. For instance, ice sheet melt may contribute significantly to global sea level rise. Understanding the current state of WAIS is therefore of great interest. WAIS is drained by fast-flowing glaciers which are major contributors to ice loss. Hence, understanding the stability and dynamics of glaciers is critical for predicting the future of the ice sheet. Glacier dynamics are driven by the interplay between the topography, temperature and basal conditions beneath the ice. A glacier dynamics model describes the interactions between these processes. We develop a hierarchical Bayesian model that integrates multiple ice sheet surface data sets with a glacier dynamics model. Our approach allows us to (1) infer important parameters describing the glacier dynamics, (2) learn about ice sheet thickness, and (3) account for errors in the observations and the model. Because we have relatively dense and accurate ice thickness data from the Thwaites Glacier in West Antarctica, we use these data to validate the proposed approach. The long-term goal of this work is to have a general model that may be used to study multiple glaciers in the Antarctic. Keywords: ice sheet, glacier dynamics, hierarchical Bayes, Gaussian process, Markov chain Monte Carlo, West Antarctic ice sheet. |
format |
Report |
author |
Guan, Yawen Haran, Murali Pollard, David |
author_facet |
Guan, Yawen Haran, Murali Pollard, David |
author_sort |
Guan, Yawen |
title |
Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets |
title_short |
Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets |
title_full |
Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets |
title_fullStr |
Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets |
title_full_unstemmed |
Inferring Ice Thickness from a Glacier Dynamics Model and Multiple Surface Datasets |
title_sort |
inferring ice thickness from a glacier dynamics model and multiple surface datasets |
publisher |
arXiv |
publishDate |
2016 |
url |
https://dx.doi.org/10.48550/arxiv.1612.01454 https://arxiv.org/abs/1612.01454 |
long_lat |
ENVELOPE(-106.750,-106.750,-75.500,-75.500) |
geographic |
Antarctic The Antarctic West Antarctica West Antarctic Ice Sheet Thwaites Glacier |
geographic_facet |
Antarctic The Antarctic West Antarctica West Antarctic Ice Sheet Thwaites Glacier |
genre |
Antarc* Antarctic Antarctica Ice Sheet Thwaites Glacier West Antarctica |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet Thwaites Glacier West Antarctica |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1612.01454 |
_version_ |
1766109995091361792 |