<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-24T04:40:34Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/311650" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/311650</identifier><datestamp>2021-04-21T22:53:05Z</datestamp><setSpec>com_1810_183634</setSpec><setSpec>com_1810_256064</setSpec><setSpec>col_1810_214795</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Remote Detection of Surging Glaciers Across High Mountain Asia</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">10.17863/CAM.58740</dc:identifier>
   <dc:creator>Vale, Amelia</dc:creator>
   <dcterms:abstract>High Mountain Asia (HMA) hosts the largest glacier concentration outside of polar&#xd;
regions. This region also represents the second major surge cluster, globally. Despite&#xd;
numerous sub-regional and individual glacier – scale studies of surging, our&#xd;
understanding of this phenomenon remains largely ambiguous. This study sought to&#xd;
identify and quantify trends in the characteristics and distribution of glacier surging&#xd;
synoptically across HMA using remote sensing techniques. This was with the&#xd;
intention enhancing the state of knowledge of glacier surging in this highly dynamic&#xd;
region and demonstrating the capabilities of remote sensing for this purpose.&#xd;
&#xd;
Terminus positions of surging glaciers identified in this study using satellite imagery&#xd;
were delimited using Google Earth Engine Digitisation Tool (GEEDiT). Subsequently,&#xd;
using terminus change profiles, a 6-part classification scheme was developed to&#xd;
characterise surge phenomenology. Surging variables, including duration, terminus&#xd;
advance distance, terminus advance rate, and surge recurrence intervals were also&#xd;
quantified using terminus change profiles. A statistical assessment was performed on&#xd;
the data to test surging relationships both intra- and extra- sub-regionally.&#xd;
&#xd;
In total, 139 glaciers were identified as surging in HMA between 1987-2019. Of this&#xd;
139, 15 surged multiple times, and 52 were newly identified as surging in this study.&#xd;
Overall, surging across HMA is heterogeneous in distribution and behaviour. Surge&#xd;
incidence is greater along a northwest-southeast transect, stretching from Pamir&#xd;
through Karakoram, to West Kunlun Shan. In Tian Shan and Himalaya surge&#xd;
incidence was isolated. Pamir glacier surge variables support a dominant&#xd;
hydrologically-regulated surge mechanism, in contrast to Karakoram and West&#xd;
Kunlun Shan glaciers, characterised by long durations, and likely controlled by a&#xd;
thermal switch mechanism. This supports the idea that surging occurs along a&#xd;
spectrum of flow instability, validating earlier surge studies.&#xd;
&#xd;
The synoptic nature of this study provides a degree of representation of the surge&#xd;
phenomenon not attainable by smaller-scale studies. The results highlight the&#xd;
necessity to update the RGI, and the continued need to monitor the surging&#xd;
phenomenon in HMA. It would be possible to automate the methods adopted in this&#xd;
study, facilitating near real-time monitoring of surging across HMA.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2019-06</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>masters</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>MPhil</uketdterms:qualificationname>
   <dc:language>en</dc:language>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/311650</dcterms:isReferencedBy>
   <dc:identifier xsi:type="dcterms:URI">https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/9cbd0fc6-f762-4046-a8e0-4236b145fd4e/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">c5b39fa6f011e09e0c1fe3518b46be4a</uketdterms:checksum>
   <dcterms:license>https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/cadd330c-e978-4d1b-9561-8a86d8dc6f07/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>glacier</dc:subject>
</uketd_dc:uketddc>
</metadata></record></GetRecord></OAI-PMH>