The temperature change shortcut: effects of mid-experiment temperature changes on the deformation of polycrystalline ice

Craw, Lisa; Treverrow, Adam; Fan, Sheng; Peternell, Mark; Cook, Sue; McCormack, Felicity; Roberts, Jason

doi:https://doi.org/10.5194/tc-15-2235-2021

Articles | Volume 15, issue 5

https://doi.org/10.5194/tc-15-2235-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-15-2235-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 5

Research article

|

10 May 2021

Research article |

| 10 May 2021

The temperature change shortcut: effects of mid-experiment temperature changes on the deformation of polycrystalline ice

Lisa Craw, Adam Treverrow, Sheng Fan, Mark Peternell, Sue Cook, Felicity McCormack, and Jason Roberts

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Final revised paper (published on 10 May 2021)
Preprint (discussion started on 07 Dec 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comments on Craw et al. "The temperature change shortcut: effects of mid-experiment temperature changes on the deformation of polycrystalline ice"', Nicolas Stoll, 18 Dec 2020
- AC1: 'Reply on RC1', Lisa Craw, 24 Feb 2021
RC2: 'Review of Craw et al._2021', Anonymous Referee #2, 02 Jan 2021
- AC2: 'Reply on RC2', Lisa Craw, 24 Feb 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (09 Mar 2021) by Nanna Bjørnholt Karlsson

AR by Lisa Craw on behalf of the Authors (11 Mar 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (25 Mar 2021) by Nanna Bjørnholt Karlsson

Short summary

Ice sheet and ice shelf models rely on data from experiments to accurately represent the way ice moves. Performing experiments at the temperatures and stresses that are generally present in nature takes a long time, and so there are few of these datasets. Here, we test the method of speeding up an experiment by running it initially at a higher temperature, before dropping to a lower target temperature to generate the relevant data. We show that this method can reduce experiment time by 55 %.