Day 4

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Paper title Glacier changes along the Antarctic Peninsula derived from multimission remote sensing data
Authors
  1. Thorsten Seehaus Friedrich Alexander University Erlangen-Nürnberg Speaker
  2. Philipp Malz Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg
  3. Christian Sommer Friedrich-Alexander Universität (FAU) Erlangen-Nürnberg
  4. Matthias H. Braun Friedrich - Alexander - Universität Erlangen - Nürnberg
  5. Kaian Shahateet POLITECHNICAL UNIVERSITY OF MADRID
  6. Francisco Navarro POLITECHNICAL UNIVERSITY OF MADRID
Form of presentation Poster
Topics
  • A9. Polar Science and Cryosphere
    • A9.04 Mass Balance of the Cryosphere
Abstract text Pronounced climatic changes have been observed at the Antarctic Peninsula within the past decades and its glaciers and ice caps have been identified as a significant contributor to global sea level rise. Dynamic thinning and speed-up was reported for various tidewater glaciers on the western Antarctic Peninsula. On the east coast, several ice shelves disintegrated since 1995. Consequently, former tributary glaciers showed increased flow velocities due to the missing buttressing, leading to substantial ice mass loss. Various studies were carried out to quantify the ice mass loss and ice discharge to the ocean at the Antarctic Peninsula using different approaches. However, the results are still subject to substantial uncertainties, in particular for the northern section of the Antarctic Peninsula ( < 70°S).
Thus, the aim of this project is to carry out an enhanced analysis of glacier mass balances and ice dynamics throughout the Antarctic Peninsula ( < 70°S) using various remote sensing data, in-situ measurements and model output. By analyzing bistatic SAR satellite acquisitions, an spatially detailed coverage with surface elevation change information at the study area will be achieved to compute geodetic glacier mass balances on regional and glacier scales. Information on ice dynamics will be derived from multi-mission SAR acquisitions using offset tracking techniques. In combination with the latest ice thickness data sets the spatiotemporal variability of the ice discharge to the ocean will be evaluated. By including information from in-situ measurements and model output of atmospheric and oceanic parameters, the driving factors of the obtained change patterns will be assessed to enhance the understanding of the ongoing change processes.