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dc.contributor.advisorNienow, Peter
dc.contributor.advisorShepherd, Andrew
dc.contributor.authorMcMillan, Malcolm John
dc.date.accessioned2012-08-08T13:10:17Z
dc.date.available2012-08-08T13:10:17Z
dc.date.issued25/06/2012
dc.identifier.urihttp://hdl.handle.net/1842/6242
dc.description.abstractThis thesis analyses satellite-based radar data to improve our understanding of the interactions between the Antarctic Ice Sheet and the ocean in the Amundsen Sea Sector of West Antarctica. Over the last two decades, the European Remote Sensing (ERS) Satellites have provided extensive observations of the marine and cryospheric environments of this region. Here I use this data record to develop new datasets and methods for studying the nature and drivers of ongoing change in this sector. Firstly, I develop a new bathymetric map of the Amundsen Sea, which serves to provide improved boundary conditions for models of (1) ocean heat transfer to the ice sheet margin, and (2) past ice sheet behaviour and extent. This new map augments sparse ship-based depth soundings with dense gravity data acquired from ERS altimetry and achieves an RMS depth accuracy of 120 meters. An evaluation of this technique indicates that the inclusion of gravity data improves the depth accuracy by up to 17 % and reveals glaciologically-important features in regions devoid of ship surveys. Secondly, I use ERS synthetic aperture radar observations of the tidal motion of ice shelves to assess the accuracy of tide models in the Amundsen Sea. Tide models contribute to simulations of ocean circulation and are used to remove unwanted signals from estimates of ice shelf flow velocities. The quality of tide models directly affects the accuracy of such estimates yet, due to a lack of in situ records, tide model accuracy in this region is poorly constrained. Here I use two methods to determine that tide model accuracy in the Amundsen Sea is of the order of 10 cm. Finally, I develop a method to map 2-d ice shelf flow velocity from stacked conventional and multiple aperture radar interferograms. Estimates of ice shelf flow provide detail of catchment stability, and the processes driving glaciological change in the Amundsen Sea. However, velocity estimates can be contaminated by ocean tide and atmospheric pressure signals. I minimise these signals by stacking interferograms, a process which synthesises a longer observation period, and enhances long-period (flow) displacement signals, relative to rapidly-varying (tide and atmospheric pressure) ones. This avoids the reliance upon model predictions of tide and atmospheric pressure, which can be uncertain in remote regions. Ice loss from Amundsen Sea glaciers forms the largest component of Antarctica’s total contribution to sea level, yet because present models cannot adequately characterise the processes driving this system, future glacier evolution is uncertain. Observations and models implicate the ocean as the driver of glaciological change in this region and have focussed attention on improving our understanding of the nature of ice-ocean interactions in the Amundsen Sea. This thesis contributes datasets and methods that will aid historical reconstructions, current monitoring and future modelling of these processes.en
dc.contributor.sponsorNatural Environment Research Council (NERC)en
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.relation.hasversionMcMillan, M., Shepherd, A., Vaughan, D.G., Laxon, S. and McAdoo, D. (2009). Amundsen Sea Bathymetry: The Benefits of Using Gravity Data for Bathymetric Prediction. IEEE Transactions on Geoscience and Remote Sensing, 47, 4223–4228.en
dc.subjectremote sensingen
dc.subjectglaciologyen
dc.subjectAntarcticaen
dc.subjectradaren
dc.subjectice shelvesen
dc.subjectremote sensing
dc.subjectglaciology
dc.subjectAntarctica
dc.subjectradar
dc.subjectice shelves
dc.subjectGlobal Change Research Institute
dc.titleSatellite investigations of ice-ocean interactions in the Amundsen Sea sector of West Antarcticaen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


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