Non-linear flow modelling of a Martian Lobate Debris Apron

• Published in: Journal of Glaciology
• Main Authors: Schmidt, Louise Steffensen, Hvidberg, Christine Schøtt, Kim, Jung Rack, Karlsson, Nanna Bjørnholt
• Other Authors: Jarðvísindadeild (HÍ), Faculty of Earth Sciences (UI), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), Háskóli Íslands, University of Iceland
• Format: Article in Journal/Newspaper
• Language: English
• Published: Cambridge University Press (CUP) 2019
• Subjects: Extraterrestrial glaciology; Glacier flow; Glacier mass balance; Glacier modelling; Ice temperature; Jöklafræði; Mars (reikistjarna); Jöklarannsóknir; glacier; Iceland; Journal of Glaciology
• Online Access: https://hdl.handle.net/20.500.11815/1551; https://doi.org/10.1017/jog.2019.54

Publisher's version (útgefin grein) The Martian mid-latitudes contain numerous small water-ice deposits, collectively termed viscous flow features (VFFs). The shape and topography of the deposits contain information on their past flow history and formation process. In order to access this information, it is imperative to get information on their deformational properties. Here we use a high-resolution digital topography map and ice-penetrating radar data in combination with an inverse method to constrain the deformational properties of a lobate debris apron, a class of VFF, in the southern hemisphere of Mars. We find that while the creep parameter and accumulation rates are not well constrained in absolute values, their ratio is robust. We also find that the creep exponent is most likely n ≤ 3. LSS is supported by the University of Iceland Eimskip Fund. The Centre for Ice and Climate is funded by the Danish National Research Foundation. We gratefully acknowledge Isaac Smith, Michael Sori and an anonymous reviewer whose insightful comments and suggestions improved the quality of this manuscript. The data and results from this study can be obtained by contacting the corresponding author. HRSC products are freely accessible via Planetary Science Archive (PSA) of European Space Agency or Planetary Data System (PDS) of NASA. Peer Reviewed