Preprints
https://doi.org/10.5194/tc-2019-204
https://doi.org/10.5194/tc-2019-204
06 Nov 2019
 | 06 Nov 2019
Status: this preprint has been withdrawn by the authors.

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

Martin Rongen

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This preprint has been withdrawn.

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Martin Rongen

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Martin Rongen
Martin Rongen

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This preprint has been withdrawn.

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.