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The Cryosphere An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/tc-2019-204
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-2019-204
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  06 Nov 2019

06 Nov 2019

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This preprint has been withdrawn by the authors.

Brief communication: Sampling c-axes distributions from the eigenvalues of ice fabric orientation tensors

Martin Rongen Martin Rongen
  • RWTH Aachen University, Institute for Particle Physics III B, 52074 Aachen, Germany

Abstract. For simulation purposes involving different realizations of ice fabrics, it can be necessary to generate arbitrarily large samples of c-axes based on the second-order orientation tensor, a commonly used descriptive statistics provided in publications of ice core measurements. This paper describes a sampling technique based on the combination of a vertical girdle and a single maximum Watson distributions.

This preprint has been withdrawn.

Martin Rongen

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Martin Rongen

Martin Rongen

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Short summary
For simulation purposes regarding the physical properties of flowing ice, it can be necessary to generate arbitrarily large samples of crystal axes based on the second-order orientation tensor, a commonly used descriptive statistics provided in publications of ice core measurements. This paper describes a statistical sampling technique based on the combination of a vertical girdle and a single maximum Watson distributions.
For simulation purposes regarding the physical properties of flowing ice, it can be necessary to...
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