Modeling the subglacial environment with geostatistics

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Abstract/Contents

Abstract
The conditions beneath glaciers and ice-sheets including the topography, hydrology, and geology are essential for understanding ice dynamics, interpreting ice-sheet history, and predicting ice-sheet retreat and sea-level-rise in response to a changing climate. Located in remote regions and overlain by several kilometers of ice, subglacial conditions are difficult to characterize at ice-sheet scales. In this thesis, I explore the use geostatistical simulation and machine learning methods to characterize subglacial hydrologic and geologic conditions and produce the first ensemble realizations of stochastically simulated subglacial topography. In Chapter 2 of this thesis, I consider the physical and geological controls on the sizes and locations of Antarctic subglacial lakes. In Chapter 3, I investigate uncertainty in subglacial water routing at Jakobshavn Glacier in Greenland. In Chapter 4, I provide subglacial geological estimates for the Amundsen Sea Embayment in West Antarctica.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author MacKie, Emma Johanne
Degree supervisor Schroeder, Dustin
Thesis advisor Schroeder, Dustin
Thesis advisor Caers, Jef
Thesis advisor Klemperer, Simon
Degree committee member Caers, Jef
Degree committee member Klemperer, Simon
Associated with Stanford University, Department of Geophysics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Emma J. MacKie.
Note Submitted to the Department of Geophysics.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/rh050gc3081

Access conditions

Copyright
© 2021 by Emma Johanne MacKie
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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