Parameter sensitivity analysis of dynamic ice sheet models – numerical computations

Cheng, Gong; Lötstedt, Per

doi:https://doi.org/10.5194/tc-14-673-2020

Articles | Volume 14, issue 2

https://doi.org/10.5194/tc-14-673-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-14-673-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Research article

|

17 Feb 2020

Research article |

| 17 Feb 2020

Parameter sensitivity analysis of dynamic ice sheet models – numerical computations

Gong Cheng and Per Lötstedt

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Final revised paper (published on 17 Feb 2020)
Preprint (discussion started on 12 Aug 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of tc-2019-151', Anonymous Referee #1, 26 Nov 2019
- AC1: 'Response to reviewer 1', Gong Cheng, 27 Dec 2019
- AC3: 'The changes are marked in the supplement.', Gong Cheng, 27 Dec 2019
- AC4: 'The changes are marked in the supplement.', Gong Cheng, 27 Dec 2019
RC2: 'Review of Cheng and Lötstedt', Alexander Robinson, 04 Dec 2019
- AC2: 'Response to reviewer 2', Gong Cheng, 27 Dec 2019

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (06 Jan 2020) by Alexander Robinson

AR by Gong Cheng on behalf of the Authors (06 Jan 2020) Author's response Manuscript

ED: Publish subject to technical corrections (17 Jan 2020) by Alexander Robinson

AR by Gong Cheng on behalf of the Authors (17 Jan 2020) Manuscript

Short summary

We present a time-dependent inverse method for ice sheet modeling. By investigating the sensitivity of the observations of the velocity and the height at the surface to the basal conditions of the ice, we show that if the basal parameters are time dependent, then time cannot be ignored in the inversion. By looking at the numerical features, we conclude that adding the height information of an ice sheet in the velocity inversion procedure could improve the robustness of the inference.