Journal cover Journal topic
Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 1.182 IF 1.182
  • IF 5-year value: 1.437 IF 5-year
    1.437
  • CiteScore value: 3.0 CiteScore
    3.0
  • SNIP value: 0.686 SNIP 0.686
  • IPP value: 1.36 IPP 1.36
  • SJR value: 0.538 SJR 0.538
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 11 Scimago H
    index 11
  • h5-index value: 13 h5-index 13
GI | Articles | Volume 9, issue 2
Geosci. Instrum. Method. Data Syst., 9, 317–336, 2020
https://doi.org/10.5194/gi-9-317-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Instrum. Method. Data Syst., 9, 317–336, 2020
https://doi.org/10.5194/gi-9-317-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 05 Aug 2020

Research article | 05 Aug 2020

A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments

Maximilian Weigand 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 Maximilian Weigand on behalf of the Authors (12 Jun 2020)  Author's response    Manuscript
ED: Publish as is (16 Jun 2020) by Ciro Apollonio
AR by Maximilian Weigand on behalf of the Authors (29 Jun 2020)  Author's response    Manuscript
Publications Copernicus
Download
Short summary
In times of global warming, permafrost is starting to degrade at alarming rates, requiring new and improved characterization approaches. We describe the design and test installation, as well as detailed data quality assessment, of a monitoring system used to capture natural electrical potentials in the subsurface. These self-potential signals are of great interest for the noninvasive investigation of water flow in the non-frozen or partially frozen subsurface.
In times of global warming, permafrost is starting to degrade at alarming rates, requiring new...
Citation