Glacier thickness estimations of alpine glaciers using data and modeling constraints

Langhammer, Lisbeth; Grab, Melchior; Bauder, Andreas; Maurer, Hansruedi

doi:https://doi.org/10.5194/tc-13-2189-2019

Articles | Volume 13, issue 8

https://doi.org/10.5194/tc-13-2189-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-13-2189-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 8

Research article

|

19 Aug 2019

Research article |

| 19 Aug 2019

Glacier thickness estimations of alpine glaciers using data and modeling constraints

Lisbeth Langhammer, Melchior Grab, Andreas Bauder, and Hansruedi Maurer

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Final revised paper (published on 19 Aug 2019)
Preprint (discussion started on 25 Mar 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review Comment on: "Glacier thickness estimations of alpine glaciers using data and modeling constraints" by Langhammer et al.', Ben Pelto, 17 Apr 2019
- AC1: 'Response to reviewer comments', Hansruedi Maurer, 14 Jun 2019
RC2: 'Review of "Glacier thickness estimations of alpine glaciers using data and modeling constraints" by Langhammer et al.', Douglas Brinkerhoff, 02 May 2019
- AC2: 'Response to reviewer comments', Hansruedi Maurer, 14 Jun 2019
RC3: 'Review', Fabien Maussion, 14 May 2019
- AC3: 'Response to reviewer comments', Hansruedi Maurer, 14 Jun 2019

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (19 Jun 2019) by Valentina Radic

AR by Hansruedi Maurer on behalf of the Authors (01 Jul 2019) Author's response Manuscript

ED: Publish as is (17 Jul 2019) by Valentina Radic

AR by Hansruedi Maurer on behalf of the Authors (23 Jul 2019) Manuscript

Short summary

We have developed a novel procedure for glacier thickness estimations that combines traditional glaciological modeling constraints with ground-truth data, for example, those obtained with ground-penetrating radar (GPR) measurements. This procedure is very useful for determining ice volume when only limited data are available. Furthermore, we outline a strategy for acquiring GPR data on glaciers, such that the cost/benefit ratio is optimized.