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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.
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  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This preprint has been withdrawn by the authors.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
Received: 30 Aug 2019 – Accepted for review: 05 Nov 2019 – Discussion started: 06 Nov 2019

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This preprint has been withdrawn.
How to cite: Rongen, M.: Brief communication: Sampling c-axes distributions from the eigenvalues of ice fabric orientation tensors, The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-204, 2019.
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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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The Cryosphere

An interactive open-access journal of the European Geosciences Union

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