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MAGIC-DML: Mapping/Measuring/Modeling Antarctic Geomorphology & Ice Change in Dronning Maud Land

Authors
/persons/resource/valmont

Rogozhina,  I.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/bernales

Bernales,  Jorge
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Newall,  J.
External Organizations;

Stroeven,  A.
External Organizations;

Harbor,  J.
External Organizations;

Glasser,  N.
External Organizations;

Fredin,  O.
External Organizations;

Fabel,  D.
External Organizations;

Hättestrand,  C.
External Organizations;

Lifton,  N.
External Organizations;

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Citation

Rogozhina, I., Bernales, J., Newall, J., Stroeven, A., Harbor, J., Glasser, N., Fredin, O., Fabel, D., Hättestrand, C., Lifton, N. (2016): MAGIC-DML: Mapping/Measuring/Modeling Antarctic Geomorphology & Ice Change in Dronning Maud Land, (Geophysical Research Abstracts, 18, EGU2016-18514, 2016), General Assembly European Geosciences Union (Vienna 2016).


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1503935
Abstract
Reconstructing and predicting the response of the Antarctic Ice Sheet to climate change is one of the major challenges facing the Earth Science community. There are critical gaps in our knowledge of past changes in ice elevation and extent in many regions of East Antarctica, including a large area of Dronning Maud Land. An international Swedish-UK-US-Norwegian-German project MAGIC-DML aims to reconstruct the timing and pattern of ice surface elevation (thus ice sheet volume) fluctuations since the mid-Pliocene warm period on the Dronning Maud Land margin of the East Antarctic Ice Sheet. A combination of remotely sensed geomorphological mapping, field investigations, surface exposure dating and numerical modelling are being used in an iterative manner to produce a comprehensive reconstruction of the glacial history of Dronning Maud Land. Here we present the results from the first phase of this project, which involves high-resolution numerical simulations of the past glacial geometries and mapping of the field area using historic and recent aerial imagery together with a range of satellite acquired data.