An assessment of sub-snow GPS for quantification of snow water equivalent

Steiner, Ladina; Meindl, Michael; Fierz, Charles; Geiger, Alain

doi:https://doi.org/10.5194/tc-12-3161-2018

Articles | Volume 12, issue 10

https://doi.org/10.5194/tc-12-3161-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-12-3161-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 10

Review article

|

04 Oct 2018

Review article |

| 04 Oct 2018

An assessment of sub-snow GPS for quantification of snow water equivalent

Ladina Steiner, Michael Meindl, Charles Fierz, and Alain Geiger

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Final revised paper (published on 04 Oct 2018)
Preprint (discussion started on 18 Jul 2018)

Interactive discussion

Status: closed

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

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RC1: 'The study is very well designed, conducted and presented. Very useful results.', Anonymous Referee #1, 13 Aug 2018
RC2: 'Review for L. Steiner et al : An Assessment of sub snow GPS for quantification of snow water equivalent.', Anonymous Referee #2, 23 Aug 2018
SC1: 'Short comment', Franziska Koch, 25 Aug 2018
- AC1: 'Authors response to interactive short comment on “An assessment of sub snow GPS for quantification of snow water equivalent”', Ladina Steiner, 12 Sep 2018
AC2: 'Authors response to referee comments', Ladina Steiner, 14 Sep 2018

Peer-review completion

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

AR by Ladina Steiner on behalf of the Authors (14 Sep 2018) Author's response Manuscript

ED: Publish as is (19 Sep 2018) by Martin Schneebeli

AR by Ladina Steiner on behalf of the Authors (19 Sep 2018)

Short summary

The amount of water stored in snow cover is of high importance for flood risks, climate change, and early-warning systems. We evaluate the potential of using GPS to estimate the stored water. We use GPS antennas buried underneath the snowpack and develop a model based on the path elongation of the GPS signals while propagating through the snowpack. The method works well over full seasons, including melt periods. Results correspond within 10 % to the state-of-the-art reference data.