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      Linking postglacial landscapes to glacier dynamics using swath radar at Thwaites Glacier, Antarctica

      1 , 2 , 2 , 3 , 4 , 4
      Geology
      Geological Society of America

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          Abstract

          Ice sheets reshape Earth’s surface. Maps of the landscape formed by past ice sheets are our best tool for reconstructing historic ice sheet behavior. But models of glacier erosion and deposition that explain mapped features are relatively untested, and without observations of landforms developing in situ, postglacial landscapes can provide only qualitative insight into past ice sheet conditions. Here we present the first swath radar data collected in Antarctica, demonstrating the ability of swath radar technology to map the subglacial environment of Thwaites Glacier (West Antarctica) at comparable resolutions to digital elevation models of deglaciated terrain. Incompatibility between measured bedform orientation and predicted subglacial water pathways indicates that ice, not water, is the primary actor in initiating bedform development at Thwaites Glacier. These data show no clear relationship between morphology and glacier speed, a weak relationship between morphology and basal shear stress, and highlight a likely role for preexisting geology in glacial bedform shape.

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          Most cited references36

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          Marine ice sheet collapse potentially under way for the Thwaites Glacier Basin, West Antarctica.

          Resting atop a deep marine basin, the West Antarctic Ice Sheet has long been considered prone to instability. Using a numerical model, we investigated the sensitivity of Thwaites Glacier to ocean melt and whether its unstable retreat is already under way. Our model reproduces observed losses when forced with ocean melt comparable to estimates. Simulated losses are moderate ( 1 mm per year of sea-level rise) collapse in the different simulations within the range of 200 to 900 years. Copyright © 2014, American Association for the Advancement of Science.
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            Is Open Access

            The Reference Elevation Model of Antarctica

            Abstract. The Reference Elevation Model of Antarctica (REMA) is the first continental-scale digital elevation model (DEM) at a resolution of less than 10 m. REMA is created from stereophotogrammetry with submeter resolution optical, commercial satellite imagery. The higher spatial and radiometric resolutions of this imagery enable high-quality surface extraction over the low-contrast ice sheet surface. The DEMs are registered to satellite radar and laser altimetry and are mosaicked to provide a continuous surface covering nearly 95 % the entire continent. The mosaic includes an error estimate and a time stamp, enabling change measurement. Typical elevation errors are less than 1 m, as validated by the comparison to airborne laser altimetry. REMA provides a powerful new resource for Antarctic science and provides a proof of concept for generating accurate high-resolution repeat topography at continental scales.
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              Evolution of subglacial bedforms along a paleo-ice stream, Antarctic Peninsula continental shelf

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                Author and article information

                Journal
                Geology
                Geological Society of America
                0091-7613
                1943-2682
                January 03 2020
                March 01 2020
                January 03 2020
                March 01 2020
                : 48
                : 3
                : 268-272
                Affiliations
                [1 ]Department of Geology, Amherst College, Amherst, Massachusetts 01002-5000, USA
                [2 ]Department of Earth and Space Sciences, University of Washington, Seattle, Washington 98195-1310, USA
                [3 ]Center for Remote Sensing of Ice Sheets, University of Kansas, Lawrence, Kansas 66045, USA
                [4 ]Department of Geosciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA
                Article
                10.1130/G46772.1
                2cf8156a-1a3d-49f6-be82-e8d056565955
                © 2020
                History

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