Fractures in glaciers—Crack tips and their stress fields by observation and modeling

Author:

Humbert Angelika12ORCID,Gross Dietmar3ORCID,Sondershaus Rabea3ORCID,Müller Ralf3,Steeb Holger4ORCID,Braun Matthias5,Brauchle Jörg6,Stebner Karsten6,Rückamp Martin7

Affiliation:

1. Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany

2. Department of Geosciences University of Bremen Bremen Germany

3. Institute for Mechanics Technical University of Darmstadt Darmstadt Germany

4. Institute of Applied Mechanics University of Stuttgart Stuttgart Germany

5. Institut für Geographie Friedrich‐Alexander‐Universität Erlangen‐Nürnberg Erlangen Germany

6. German Aerospace Center Institute of Optical Sensor Systems Berlin‐Adlershof Germany

7. Bavarian Academy of Science and Humanities Section Geodesy and Glaciology Munich Germany

Abstract

AbstractHigh‐resolution optical camera systems are opening new opportunities to study fractures in ice. Here, we present data obtained from the Modular Aerial Camera System camera system operated onboard of Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) polar aircraft in northeast Greenland in 2022. In addition, we are using optical and radar satellite imagery. The study area is the 79°N Glacier (Nioghalvfjerdsbræ, 79NG), an outlet glacier of the Northeast Greenland Ice Stream. We found that crack tips are exhibiting additional isolated cracks ahead of the main crack. Subsequent crack propagation is starting from those isolated cracks, leading to an advance of the crack, with bridges between crack faces. The bridges provide information of the episodic crack propagation. Fractures have typically a length scale of kilometers and the distance of crack faces is in the order of meters to tenths of meters. Fracture modes will be inferred from stress fields computed by an inverse modeling approach using the Ice Sheet and Sea Level System Model. To this end, a surface velocity field derived from satellite remote sensing is used for the optimal control method that constrains model parameters, for example, basal friction coefficient or rheology.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

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