This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
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This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: • This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. • A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. • This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. • The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. • When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. Satellite Investigations of Ice-Ocean Interactions in the Amundsen Sea Sector of West Antarctica Malcolm McMillan Thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the University of Edinburgh 2012 Declaration I declare that this thesis has been composed solely by myself and that it has not been submitted, either in whole or in part, in any previous application for a degree. Except where otherwise acknowledged, the work presented is entirely my own. Malcolm McMillan January 2012 ii Abstract This 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 iii 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. iv Acknowledgements This work was funded by the UK Natural Environment Research Council’s National Centre for Earth Observation, through a Centre for Polar Observation and Modelling PhD studentship. I thank my supervisors, Andy Shepherd and Pete Nienow, for all their help and advice during the past three years. I am grateful to Anthony Newton for acting as my advisor throughout this time. I thank my examiners, Adrian Luckman and Martin Siegert, for their time and effort in reading and examining my thesis. Thanks also go to my office mates, for their humour and friendship, and in particular to those who have shared an enthusiasm for discussing all things ice- related - Kate, Steve, Eero, Ian, Noel, Aud and Tom. Finally, thanks to my parents and to Anna for all their help and support. v Contents Declaration ii Abstract iii Acknowledgements v Contents vi List of Tables x List of Figures xi 1 Introduction 1 1.1 Aim .................................. 1 1.2 Motivation............................... 1 1.3 Objectives............................... 5 2 The Amundsen Sea Sector of the WAIS 7 2.1 PhysicalSetting............................ 7 2.2 Observations of Ice Sheet Change in the Satellite Era . .... 12 2.2.1 ThinningofGroundedIce . 12 2.2.2 Thinning of Ice Shelves . 16 2.2.3 GroundingLineRetreat . 17 2.2.4 IceAcceleration. .. .. 17 2.2.5 A Glimpse of WAIS Instability? . 18 2.3 Post-LGM History of the Amundsen Sea Sector of the WAIS . 21 2.3.1 Ice Sheet Behaviour Inferred from Sea Floor Morphology. 21 2.3.2 Timing of Deglaciation in the Amundsen Sea . 23 2.4 The Coupled Ice-Ocean System . 26 2.4.1 Amundsen Sea Oceanography . 27 2.4.2 Ocean Circulation and Melting in the Ice Shelf Cavity . 31 2.4.3 Tidal Influence on Ice Shelf Dynamics . 35 2.5 Spatial and Temporal Variability in the Amundsen Sea . ... 37 2.5.1 Causes of Temporal Glaciological Variability . .. 38 2.5.2 Causes of Spatial Glaciological Variability . .. 39 2.6 Summary of Current Understanding . 40 vi 3 Review of Methods 43 3.1 Bathymetric Prediction from Sparse Ship Surveys and Marine GravityData ............................. 43 3.2 Tide Model Validation in Antarctic Waters . 47 3.2.1 Validating Tide Models with Interferometric Synthetic ApertureRadar........................ 48 3.3 Satellite-based Methods for Mapping Ice Shelf Flow . .... 53 3.3.1 Mapping Ice Shelf Flow with Synthetic Aperture RadarFeatureTracking . 54 3.3.2 Mapping Ice Shelf Flow with Interferometric SyntheticApertureRadar . 56 3.3.3 Comparison of SAR Techniques for Mapping IceShelfFlow......................... 58 3.4 Summary ............................... 59 4 Amundsen Sea Bathymetry from Marine Gravity Data 60 4.1 Abstract................................ 61 4.2 Introduction.............................. 61 4.3 DataandMethod........................... 63 4.4 Results and Model Assessment . 68 4.5 Conclusions .............................. 76 5 Tide Model Accuracy in the Amundsen Sea 78 5.1 Abstract................................ 79 5.2 Introduction.............................. 79 5.3 TheoreticalBackground . 82 5.3.1 Single-DifferenceApproach. 84 5.3.2 Double-DifferenceApproach . 85 5.4 StudyArea .............................. 86 5.5 Data.................................. 87 5.5.1 Interferometric Synthetic Aperture Radar . 87 5.5.2 TideModels.......................... 89 5.5.3 Meteorological Model Reanalysis . 90 5.6 Methods................................ 91 5.6.1 Single-Difference Technique . 91 5.6.2 Double-Difference Technique . 100 5.6.3 TideModelEvaluation . 100 5.7 Error Assessment of Single-Difference and Double-Difference Meth- ods................................... 101 5.7.1 TopographicError . 103 5.7.2 FlatEarthCorrectionError . 105 5.7.3 IceFlowError......................... 107 5.7.4 AtmosphericPressureError . 109 5.7.5 AtmosphericDistortions . 110 vii 5.7.6 CoherenceError. 111 5.7.7 PhaseUnwrappingError . 112 5.7.8 CombinedError. .. .. 112 5.8 Results................................. 113 5.8.1 Observations of Ice Shelf Flow Displacement . 113 5.8.2 Observations of Ice Shelf Tidal Displacement . 114 5.8.3 TideModelEvaluation . 115 5.9 Discussion ............................... 117 5.9.1 ComparisonofMethods ofObservation . 117 5.9.2 ComparisonofTideModels . 121 5.9.3 Assessment of Inverse Barometer Correction . 125 5.9.4 ComparisontoPreviousWork . 126 5.10Conclusions .............................. 126 6 Mapping Ice Shelf Flow with InSAR Stacking 128 6.1 Abstract................................ 129 6.2 Introduction.............................. 129 6.3 StudyArea .............................. 132 6.4 Data.................................. 133 6.4.1 SyntheticApertureRadar . 133 6.4.2 TideModel .......................... 135 6.4.3 Surface Level Atmospheric Pressure . 136 6.5 Methods................................ 137 6.5.1 Conventional InSAR Stacking . 137 6.5.2 Modelling Tide and IBE Error . 141 6.5.3 Isolating Flow Displacement Using Model Predictions . 141 6.5.4 Multiple Aperture InSAR Stacking . 142 6.6 Results................................. 143 6.6.1 StackedVelocityMap. 143 6.6.2 ErrorAssessment . 144 6.7 Discussion ............................... 155 6.7.1 Comparison of Velocity Predictions