Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series

Picard, Ghislain; Libois, Quentin; Arnaud, Laurent; Verin, Gauthier; Dumont, Marie

doi:https://doi.org/10.5194/tc-10-1297-2016

Articles | Volume 10, issue 3

https://doi.org/10.5194/tc-10-1297-2016

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

https://doi.org/10.5194/tc-10-1297-2016

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

Articles | Volume 10, issue 3

Research article

|

21 Jun 2016

Research article |

| 21 Jun 2016

Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series

Ghislain Picard, Quentin Libois, Laurent Arnaud, Gauthier Verin, and Marie Dumont

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Final revised paper (published on 21 Jun 2016)
Preprint (discussion started on 18 Jan 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review for tc-2015-213 by G. Picard et al.', Teruo Aoki, 17 Feb 2016
- AC1: 'Response', Ghislain Picard, 03 May 2016
RC2: 'Review and suggestion', Anonymous Referee #2, 29 Mar 2016
- AC2: 'Response', Ghislain Picard, 03 May 2016

Peer-review completion

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

AR by Ghislain Picard on behalf of the Authors (04 May 2016) Author's response Manuscript

ED: Referee Nomination & Report Request started (06 May 2016) by Ross Brown

RR by Martin Schneebeli (27 May 2016)

ED: Publish as is (27 May 2016) by Ross Brown

AR by Ghislain Picard on behalf of the Authors (30 May 2016)

Short summary

Albedo of snow surfaces depends on snow grain size. By measuring albedo during 3 years at Dome C in Antarctica with an automatic spectroradiometer, we were able to monitor the snow specific surface area and show an overall growth of the grains in spring and summer followed by an accumulation of small-grained snow from mid-summer. This study focuses on the uncertainties due to the spectroradiometer and concludes that the observed variations are significant with respect to the precision.