Preprints
https://doi.org/10.5194/tc-2019-204
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
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.
the Creative Commons Attribution 4.0 License.
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Status: this preprint has been withdrawn by the authors.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
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This preprint has been withdrawn.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. [preprint], https://doi.org/10.5194/tc-2019-204, 2019.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Download & links
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(513 KB)
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'review', Anonymous Referee #1, 04 Dec 2019
-
AC2: 'Author comments to the referee comments by Referee1', Martin Rongen, 27 Feb 2020
-
AC2: 'Author comments to the referee comments by Referee1', Martin Rongen, 27 Feb 2020
-
RC2: 'Comments on “Brief communication: Sampling c-axes distributions from the eigenvalues of ice fabric orientation tensors” by Martin Rongen', Wataru Shigeyama, 27 Jan 2020
-
AC1: 'Author comments to the referee comments by Wataru Shigeyama', Martin Rongen, 27 Feb 2020
-
AC1: 'Author comments to the referee comments by Wataru Shigeyama', Martin Rongen, 27 Feb 2020
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'review', Anonymous Referee #1, 04 Dec 2019
-
AC2: 'Author comments to the referee comments by Referee1', Martin Rongen, 27 Feb 2020
-
AC2: 'Author comments to the referee comments by Referee1', Martin Rongen, 27 Feb 2020
-
RC2: 'Comments on “Brief communication: Sampling c-axes distributions from the eigenvalues of ice fabric orientation tensors” by Martin Rongen', Wataru Shigeyama, 27 Jan 2020
-
AC1: 'Author comments to the referee comments by Wataru Shigeyama', Martin Rongen, 27 Feb 2020
-
AC1: 'Author comments to the referee comments by Wataru Shigeyama', Martin Rongen, 27 Feb 2020
Viewed
Total article views: 964 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Nov 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 629 | 257 | 78 | 964 | 86 | 71 |
- HTML: 629
- PDF: 257
- XML: 78
- Total: 964
- BibTeX: 86
- EndNote: 71
Viewed (geographical distribution)
Total article views: 838 (including HTML, PDF, and XML)
Thereof 836 with geography defined
and 2 with unknown origin.
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Latest update: 29 Jun 2024
Martin Rongen
RWTH Aachen University, Institute for Particle Physics III B, 52074 Aachen, Germany
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...