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  • 1
    Publication Date: 2017-10-20
    Description: We investigate the propagation of seismic waves in anisotropic ice. Two effects are important: (i) sudden changes in crystal orientation fabric (COF) lead to englacial reflections; (ii) the anisotropic fabric induces an angle dependency on the seismic velocities and, thus, recorded traveltimes. Velocities calculated from the polycrystal elasticity tensor derived for the anisotropic fabric from measured COF eigenvalues of the EDML ice core, Antarctica, show good agreement with the velocity trend determined from a vertical seismic profiling. The agreement of the absolute velocity values, however, depends on the choice of the monocrystal elasticity tensor used for the calculation of the polycrystal properties. With this validation of seismic velocities we make use of abrupt changes in COF as common reflection mechanism for seismic and radar data below the firn–ice transition to investigate their occurrence by comparison with ice-core data. Our results highlight the possibility to complement regional radar surveys with local, surface-based seismic deployment to separate isochrones in radar data from other mechanisms. This is important for the reconnaissance of future ice-core drill sites, where accurate isochrone (i.e. non-COF) layer integrity allows for synchronization with other cores, as well as studies of ice dynamics considering non-homogeneous viscosity from preferred crystal orientations.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
    Format: application/pdf
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  • 2
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    Copernicus Publications
    In:  EPIC3The Cryosphere Discussion, Copernicus Publications, 8(4), pp. 4349-4395
    Publication Date: 2014-09-09
    Description: A preferred orientation of the anisotropic ice crystals influences the viscosity of the ice bulk and the dynamic behaviour of glaciers and ice sheets. Knowledge about the distribution of crystal anisotropy, to understand its contribution to ice dynamics, is mainly provided by crystal orientation fabric (COF) data from ice cores. However, the developed anisotropic fabric does not only influence the flow behaviour of ice, but also the propagation of seismic waves. Two effects are important: (i) sudden changes in COF lead to englacial reflections and (ii) the anisotropic fabric induces an angle dependency on the seismic velocities and, thus, also recorded traveltimes. A framework is presented here to connect COF data with the elasticity tensor to determine seismic velocities and reflection coefficients for cone and girdle fabrics from ice-core data. We connect the microscopic anisotropy of the crystals with the macroscopic anisotropy of the ice mass, observable with seismic methods. Elasticity tensors for different fabrics are calculated and used to investigate the influence of the anisotropic ice fabric on seismic velocities and reflection coefficients, englacially as well as for the ice-bed contact. Our work, therefore, provides a contribution to remotely determine the state of bulk ice anisotropy.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
    Format: application/pdf
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  • 3
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    Geophysical Research Abstracts, EGU2014-1361
    In:  EPIC3EGU General Assembly, Vienna, Austria, 2014-04-27-2014-05-02Geophysical Research Abstracts, EGU2014-1361
    Publication Date: 2014-05-20
    Description: The International Partnership for Ice Core Sciences (IPICS) identified the retrieve of an “Oldest-Ice” ice core as one of the most important scientific challenges in ice core research for the near future. As the outcome of an "Oldest-Ice" workshop a general approach was recently suggested how to combine geophysical reconnaissance, numerical ice-flow modelling and sample drilling to identify the most promising sites where about 1.5 Ma old ice could most likely be found (Fischer et al., CP, 2013). The most critical unknown parameter is the geothermal heat flow underneath the ice, followed by bed topography and integrity of internal layering. Here, we propose the combined application of geophysical methods in conjunction with existing ice-core data to improve the knowledge on physical properties of the ice and the underlaying strata. It builds on (i) conventional application of potential field geophysics (gravimetry and magnetics) to estimate subglacial geology; (ii) radar internal architecture to determine layer integrity and bedrock topography; (iii) combination of ice-core profiles with radar to determine the origin - and thus confirm isochronity and age - of internal radar layers, complemented by layer attributes; (iv) extrapolation of ice-core impurities and the related attenuation of radar waves in space along internal layers; and (v) radar and seismic wave attenuation analyses to determine the englacial temperature distribution. This approach has the potential to improve our capabilities to estimate the spatial variation of geothermal heat flux and provide spatially distributed age-depth constraints for ice-flow models.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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