Satellite remote sensing of supraglacial lakes in East Antarctica

Developing accurate projections of ice-sheet responses to climate change remains a key scientific challenge. Understanding the controls on the distribution and evolution of surface meltwater around the Antarctic Ice Sheet (AIS) and its impacts on ice dynamics is critical for improving model predicti...

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Main Author: ARTHUR, JENNIFER
Format: Thesis
Language:unknown
Published: 2022
Subjects:
Online Access:http://etheses.dur.ac.uk/14543/
http://etheses.dur.ac.uk/14543/1/Jennifer_Arthur_PhD_Thesis.pdf
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spelling ftunidurhamethes:oai:etheses.dur.ac.uk:14543 2023-05-15T14:04:17+02:00 Satellite remote sensing of supraglacial lakes in East Antarctica ARTHUR, JENNIFER 2022 application/pdf http://etheses.dur.ac.uk/14543/ http://etheses.dur.ac.uk/14543/1/Jennifer_Arthur_PhD_Thesis.pdf unknown oai:etheses.dur.ac.uk:14543 http://etheses.dur.ac.uk/14543/1/Jennifer_Arthur_PhD_Thesis.pdf ARTHUR, JENNIFER (2022) Satellite remote sensing of supraglacial lakes in East Antarctica. Doctoral thesis, Durham University. http://etheses.dur.ac.uk/14543/ supraglacial lakes Antarctic remote sensing surface hydrology ice shelves mass balance climate Thesis NonPeerReviewed 2022 ftunidurhamethes 2022-09-23T14:17:50Z Developing accurate projections of ice-sheet responses to climate change remains a key scientific challenge. Understanding the controls on the distribution and evolution of surface meltwater around the Antarctic Ice Sheet (AIS) and its impacts on ice dynamics is critical for improving model predictions of AIS contributions to global mean sea-level rise. This thesis aims to better quantify the current controls on the distribution and evolution of supraglacial lakes (SGLs) on the East Antarctic Ice Sheet (EAIS) and their potential impact on ice-sheet mass balance and dynamics. The thesis begins with a review of recent advances in our understanding of SGLs in Antarctica, aided by developments in satellite remote sensing. Seasonal SGL evolution is then examined on the Shackleton Ice Shelf, chosen for its potential vulnerability to future surface meltwater-induced disintegration. Seasonal lake variability on this ice shelf is sensitive to snowmelt intensity associated with katabatic wind-driven melting. The role of SGLs in the rapid disaggregation of the Voyeykov Ice Shelf is then determined. It is shown the weakening and removal of stabilising ice m\'elange and multiyear landfast sea ice triggered this event, rather than surface meltwater. This implies that lakes are not always a necessary precursor of ice-shelf collapse. The first pan-ice-sheet observations of SGLs around the entire EAIS periphery over seven consecutive melt seasons (2014-2020) reveal SGL area and volume are highly variable on interannual timescales and are asynchronous between ice shelves. Climatic and surface controls on this interannual variability are explored, revealing significant relationships with modelled summer surface melt and runoff on some ice shelves deemed vulnerable to hydrofracture. Together, these findings represent novel observations of SGL evolution and the controls on interannual SGL variability around the EAIS. Using these observations in future ice-shelf models will help improve representation of the complex relationships ... Thesis Antarc* Antarctic Antarctica East Antarctica Ice Sheet Ice Shelf Ice Shelves Sea ice Shackleton Ice Shelf Voyeykov Ice Shelf Durham University: Durham e-Theses Antarctic East Antarctic Ice Sheet East Antarctica Shackleton Shackleton Ice Shelf ENVELOPE(100.504,100.504,-65.996,-65.996) The Antarctic Voyeykov Ice Shelf ENVELOPE(124.633,124.633,-66.333,-66.333)
institution Open Polar
collection Durham University: Durham e-Theses
op_collection_id ftunidurhamethes
language unknown
topic supraglacial lakes
Antarctic
remote sensing
surface hydrology
ice shelves
mass balance
climate
spellingShingle supraglacial lakes
Antarctic
remote sensing
surface hydrology
ice shelves
mass balance
climate
ARTHUR, JENNIFER
Satellite remote sensing of supraglacial lakes in East Antarctica
topic_facet supraglacial lakes
Antarctic
remote sensing
surface hydrology
ice shelves
mass balance
climate
description Developing accurate projections of ice-sheet responses to climate change remains a key scientific challenge. Understanding the controls on the distribution and evolution of surface meltwater around the Antarctic Ice Sheet (AIS) and its impacts on ice dynamics is critical for improving model predictions of AIS contributions to global mean sea-level rise. This thesis aims to better quantify the current controls on the distribution and evolution of supraglacial lakes (SGLs) on the East Antarctic Ice Sheet (EAIS) and their potential impact on ice-sheet mass balance and dynamics. The thesis begins with a review of recent advances in our understanding of SGLs in Antarctica, aided by developments in satellite remote sensing. Seasonal SGL evolution is then examined on the Shackleton Ice Shelf, chosen for its potential vulnerability to future surface meltwater-induced disintegration. Seasonal lake variability on this ice shelf is sensitive to snowmelt intensity associated with katabatic wind-driven melting. The role of SGLs in the rapid disaggregation of the Voyeykov Ice Shelf is then determined. It is shown the weakening and removal of stabilising ice m\'elange and multiyear landfast sea ice triggered this event, rather than surface meltwater. This implies that lakes are not always a necessary precursor of ice-shelf collapse. The first pan-ice-sheet observations of SGLs around the entire EAIS periphery over seven consecutive melt seasons (2014-2020) reveal SGL area and volume are highly variable on interannual timescales and are asynchronous between ice shelves. Climatic and surface controls on this interannual variability are explored, revealing significant relationships with modelled summer surface melt and runoff on some ice shelves deemed vulnerable to hydrofracture. Together, these findings represent novel observations of SGL evolution and the controls on interannual SGL variability around the EAIS. Using these observations in future ice-shelf models will help improve representation of the complex relationships ...
format Thesis
author ARTHUR, JENNIFER
author_facet ARTHUR, JENNIFER
author_sort ARTHUR, JENNIFER
title Satellite remote sensing of supraglacial lakes in East Antarctica
title_short Satellite remote sensing of supraglacial lakes in East Antarctica
title_full Satellite remote sensing of supraglacial lakes in East Antarctica
title_fullStr Satellite remote sensing of supraglacial lakes in East Antarctica
title_full_unstemmed Satellite remote sensing of supraglacial lakes in East Antarctica
title_sort satellite remote sensing of supraglacial lakes in east antarctica
publishDate 2022
url http://etheses.dur.ac.uk/14543/
http://etheses.dur.ac.uk/14543/1/Jennifer_Arthur_PhD_Thesis.pdf
long_lat ENVELOPE(100.504,100.504,-65.996,-65.996)
ENVELOPE(124.633,124.633,-66.333,-66.333)
geographic Antarctic
East Antarctic Ice Sheet
East Antarctica
Shackleton
Shackleton Ice Shelf
The Antarctic
Voyeykov Ice Shelf
geographic_facet Antarctic
East Antarctic Ice Sheet
East Antarctica
Shackleton
Shackleton Ice Shelf
The Antarctic
Voyeykov Ice Shelf
genre Antarc*
Antarctic
Antarctica
East Antarctica
Ice Sheet
Ice Shelf
Ice Shelves
Sea ice
Shackleton Ice Shelf
Voyeykov Ice Shelf
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
Ice Sheet
Ice Shelf
Ice Shelves
Sea ice
Shackleton Ice Shelf
Voyeykov Ice Shelf
op_relation oai:etheses.dur.ac.uk:14543
http://etheses.dur.ac.uk/14543/1/Jennifer_Arthur_PhD_Thesis.pdf
ARTHUR, JENNIFER (2022) Satellite remote sensing of supraglacial lakes in East Antarctica. Doctoral thesis, Durham University.
http://etheses.dur.ac.uk/14543/
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