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Data assimilation problems in glacio...
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Shapero, Daniel.
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Data assimilation problems in glaciology.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data assimilation problems in glaciology./
作者:
Shapero, Daniel.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:
146 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:
Dissertation Abstracts International78-08B(E).
標題:
Geophysics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10261332
ISBN:
9781369694154
Data assimilation problems in glaciology.
Shapero, Daniel.
Data assimilation problems in glaciology.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 146 p.
Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Thesis (Ph.D.)--University of Washington, 2017.
Rising sea levels due to mass loss from Greenland and Antarctica threaten to inundate 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 anticipated 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 coefficient 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 methods. 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 modeling and data assimilation in the form of the open-source library icepack ; and improving the statistical methodology through the user of total variation priors.
ISBN: 9781369694154Subjects--Topical Terms:
535228
Geophysics.
Data assimilation problems in glaciology.
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