EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Towards assembling the internal ice stratigraphy in coastal regions of Dronning Maud Land, East Antarctica

Reinhard Drews1, Inka Koch1, Falk Oraschewski1, Mohammadreza Ershadi1, Leah Sophie Muhle1, Heiko Spiegel1, Vjeran Visnjevic1, Guy Moss2,1, Jakob Macke2, Steven Franke3, Daniela Jansen3, Daniel Steinhage3, and Olaf Eisen3
Reinhard Drews et al.
  • 1Tübingen University, Earth System Sciences, Tübingen, Germany (
  • 2Tübingen Univerisity, Excellence Cluster Machine Learning, Tübingen Germany
  • 3Alfred Wegener Institute for Polar- and Marine Research, Bremerhaven, Germany

The internal ice stratigraphy as imaged by radar is an integrated archive of the atmospheric- oceanographic, and ice-dynamic history that the ice sheet has experienced. It provides an observational constraint for ice flow modeling that has been used for instance to predict age-depth relationships at prospective ice-coring sites in Antarctica’s interior. The stratigraphy is typically more disturbed and more difficult to image in coastal regions due to faster ice flow. Yet, knowledge of ice stratigraphy across ice shelf grounding lines and further seawards is important to help constrain ocean-induced melting and associated stability.

Here, we present preliminary results of synthesizing information from radar stratigraphic characteristics from airborne and ground-based radar surveys that have been collected for specific projects starting from the 1990s onwards focusing on ice marginal zones of Antarctica. The key data is based on airborne surveys from the German Alfred Wegener Institute’s polar aircrafts equipped with a 150 MHz radar. In the meantime this system has been replaced by an ultra-wide band 150-520 MHz radar. The older data will provide a baseline with extensive coverage that can be used for model calibration and change detection over time. We aim to provide metrics of the radio stratigraphy (e.g. shape and slope of internal reflection horizons) as well as classified prevalent stratigraphy types that can be used to calibrate machine learning approaches such as simulation based inference. The data obtained will be integrated in coordination efforts within the SCAR AntArchitecture Action Group.

How to cite: Drews, R., Koch, I., Oraschewski, F., Ershadi, M., Muhle, L. S., Spiegel, H., Visnjevic, V., Moss, G., Macke, J., Franke, S., Jansen, D., Steinhage, D., and Eisen, O.: Towards assembling the internal ice stratigraphy in coastal regions of Dronning Maud Land, East Antarctica, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-942,, 2022.