Brief communication: Sampling c-axes distributions from the eigenvalues of ice fabric orientation tensors
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...
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| Format: | Text |
| Language: | English |
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2019
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| Online Access: | https://doi.org/10.5194/tc-2019-204 https://tc.copernicus.org/preprints/tc-2019-204/ |
| Summary: | 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. |
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