Data assimilation problems in glaciology
Thesis (Ph.D.)--University of Washington, 2017-03 Rising sea levels due to mass loss from Greenland and Antarctica threaten to inun- date coastal areas the world over. For the purposes of urban planning and hazard mitigation, policy makers would like to know how much sea-level rise can be antici- pa...
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ftunivwashington:oai:digital.lib.washington.edu:1773/38570 2023-05-15T13:49:11+02:00 Data assimilation problems in glaciology Shapero, Daniel Leveque, Randall J 2017-03 application/pdf http://hdl.handle.net/1773/38570 en_US eng Shapero_washington_0250E_16906.pdf http://hdl.handle.net/1773/38570 CC BY Geophysics Applied mathematics Thesis 2017 ftunivwashington 2023-03-12T18:57:01Z Thesis (Ph.D.)--University of Washington, 2017-03 Rising sea levels due to mass loss from Greenland and Antarctica threaten to inun- date coastal areas the world over. For the purposes of urban planning and hazard mitigation, policy makers would like to know how much sea-level rise can be antici- pated in the next century. To make these predictions, glaciologists use mathematical models of ice sheet flow, together with remotely-sensed observations of the current state of the ice sheets. The quantities that are observable over large spatial scales are the ice surface elevation and speed, and the elevation of the underlying bedrock. There are other quantities, such as the viscosity within the ice and the friction co- efficient for sliding over the bed, that are just as important in dictating how fast the glacier flows, but that are not observable at large scales using current meth- ods. These quantities can be inferred from observations by using data assimilation methods, applied to a model of glacier flow. In this dissertation, I will describe my work on data assimilation problems in glaciology. My main contributions so far have been: computing the bed stress underneath the three biggest Greenland outlet glaciers; developing additional tools for glacier modelling and data assimi- lation in the form of the open-source library iceack; and improving the statistical methodology through the user of total variation priors. Thesis Antarc* Antarctica glacier Greenland Ice Sheet University of Washington, Seattle: ResearchWorks Greenland |
institution |
Open Polar |
collection |
University of Washington, Seattle: ResearchWorks |
op_collection_id |
ftunivwashington |
language |
English |
topic |
Geophysics Applied mathematics |
spellingShingle |
Geophysics Applied mathematics Shapero, Daniel Data assimilation problems in glaciology |
topic_facet |
Geophysics Applied mathematics |
description |
Thesis (Ph.D.)--University of Washington, 2017-03 Rising sea levels due to mass loss from Greenland and Antarctica threaten to inun- date coastal areas the world over. For the purposes of urban planning and hazard mitigation, policy makers would like to know how much sea-level rise can be antici- pated in the next century. To make these predictions, glaciologists use mathematical models of ice sheet flow, together with remotely-sensed observations of the current state of the ice sheets. The quantities that are observable over large spatial scales are the ice surface elevation and speed, and the elevation of the underlying bedrock. There are other quantities, such as the viscosity within the ice and the friction co- efficient for sliding over the bed, that are just as important in dictating how fast the glacier flows, but that are not observable at large scales using current meth- ods. These quantities can be inferred from observations by using data assimilation methods, applied to a model of glacier flow. In this dissertation, I will describe my work on data assimilation problems in glaciology. My main contributions so far have been: computing the bed stress underneath the three biggest Greenland outlet glaciers; developing additional tools for glacier modelling and data assimi- lation in the form of the open-source library iceack; and improving the statistical methodology through the user of total variation priors. |
author2 |
Leveque, Randall J |
format |
Thesis |
author |
Shapero, Daniel |
author_facet |
Shapero, Daniel |
author_sort |
Shapero, Daniel |
title |
Data assimilation problems in glaciology |
title_short |
Data assimilation problems in glaciology |
title_full |
Data assimilation problems in glaciology |
title_fullStr |
Data assimilation problems in glaciology |
title_full_unstemmed |
Data assimilation problems in glaciology |
title_sort |
data assimilation problems in glaciology |
publishDate |
2017 |
url |
http://hdl.handle.net/1773/38570 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica glacier Greenland Ice Sheet |
genre_facet |
Antarc* Antarctica glacier Greenland Ice Sheet |
op_relation |
Shapero_washington_0250E_16906.pdf http://hdl.handle.net/1773/38570 |
op_rights |
CC BY |
_version_ |
1766250979344252928 |