Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
    5.921
  • CiteScore value: 5.27 CiteScore
    5.27
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
Volume 10, issue 1
The Cryosphere, 10, 433-444, 2016
https://doi.org/10.5194/tc-10-433-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 10, 433-444, 2016
https://doi.org/10.5194/tc-10-433-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 29 Feb 2016

Research article | 29 Feb 2016

Bulk meltwater flow and liquid water content of snowpacks mapped using the electrical self-potential (SP) method

Sarah S. Thompson et al.
Download
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Svenja Lange on behalf of the Authors (15 Jan 2016)  Author's response
ED: Referee Nomination & Report Request started (20 Jan 2016) by Olaf Eisen
RR by Anonymous Referee #2 (25 Jan 2016)
RR by Anonymous Referee #1 (26 Jan 2016)
ED: Publish subject to minor revisions (Editor review) (27 Jan 2016) by Olaf Eisen
AR by Sarah Thompson on behalf of the Authors (05 Feb 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (15 Feb 2016) by Olaf Eisen
Publications Copernicus
Download
Short summary
We show that strong electrical self-potential fields are generated in melting in in situ snowpacks at Rhone Glacier and Jungfraujoch Glacier, Switzerland. We conclude that the electrical self-potential method is a promising snow and firn hydrology sensor, owing to its suitability for sensing lateral and vertical liquid water flows directly and minimally invasively, complementing established observational programs and monitoring autonomously at a low cost.
We show that strong electrical self-potential fields are generated in melting in in situ...
Citation
Share