Geodetic mass balance record with rigorous uncertainty estimates deduced  from aerial photographs and lidar data – Case study from Drangajökull ice  cap, NW Iceland

Magnússon, E.; Muñoz-Cobo Belart, J.; Pálsson, F.; Ágústsson, H.; Crochet, P.

doi:https://doi.org/10.5194/tc-10-159-2016

Articles | Volume 10, issue 1

https://doi.org/10.5194/tc-10-159-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Interactions between climate change and the Cryosphere: SVALI,...

https://doi.org/10.5194/tc-10-159-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 1

Research article

|

19 Jan 2016

Research article |

| 19 Jan 2016

Geodetic mass balance record with rigorous uncertainty estimates deduced from aerial photographs and lidar data – Case study from Drangajökull ice cap, NW Iceland

E. Magnússon, J. Muñoz-Cobo Belart, F. Pálsson, H. Ágústsson, and P. Crochet

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Final revised paper (published on 19 Jan 2016)
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Preprint (discussion started on 09 Sep 2015)
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Interactive discussion

Status: closed

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

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RC C1832: 'Review of "Geodetic mass balance record - a case study from Drangajökull ice cap"', Anonymous Referee #1, 08 Oct 2015
RC C2201: 'Review of Magnusson et. al.', Christopher Nuth, 11 Nov 2015
AC C2382: 'References seasonal corrections', Joaquín Muñoz-Cobo Belart, 26 Nov 2015

Peer-review completion

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

AR by Svenja Lange on behalf of the Authors (14 Dec 2015) Author's response

ED: Publish as is (17 Dec 2015) by Ian M. Howat

Short summary

We demonstrate the opportunities given by high resolution digital elevation models (DEMs) to improve procedures for obtaining mass balance records from archives of aerial photographs. We also describe a geostatistical approach to estimate uncertainty of elevation changes derived by differencing DEMs. This method is more statistically robust than other described in the literature. Our study highlights a common tendency of overestimating this uncertainty, downgrading geodetic mass balance records.