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

Journal metrics

Journal metrics

  • IF value: 4.713 IF 4.713
  • IF 5-year value: 4.927 IF 5-year
    4.927
  • CiteScore value: 8.0 CiteScore
    8.0
  • SNIP value: 1.425 SNIP 1.425
  • IPP value: 4.65 IPP 4.65
  • SJR value: 2.353 SJR 2.353
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 53 h5-index 53
Definitions
TC | Articles | Volume 13, issue 3
TC | Articles | Volume 13, issue 3
The Cryosphere, 13, 927–942, 2019
https://doi.org/10.5194/tc-13-927-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 927–942, 2019
https://doi.org/10.5194/tc-13-927-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
TC | Articles | Volume 13, issue 3

Research article 18 Mar 2019

Research article | 18 Mar 2019

Resolving the influence of temperature forcing through heat conduction on rock glacier dynamics: a numerical modelling approach

Alessandro Cicoira et al.

Viewed

Total article views: 1,461 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,032 412 17 1,461 29 15
  • HTML: 1,032
  • PDF: 412
  • XML: 17
  • Total: 1,461
  • BibTeX: 29
  • EndNote: 15
Views and downloads (calculated since 26 Sep 2018)
Cumulative views and downloads (calculated since 26 Sep 2018)

Viewed (geographical distribution)

Total article views: 1,000 (including HTML, PDF, and XML) Thereof 993 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 07 Jul 2020
Publications Copernicus
Download
PDF XML
Short summary
Rock glacier flow varies on multiple timescales. The variations have been linked to climatic forcing, but a quantitative understanding is still missing. We use a 1-D numerical modelling approach coupling heat conduction to a creep model in order to study the influence of temperature variations on rock glacier flow. Our results show that heat conduction alone cannot explain the observed variations. Other processes, likely linked to water, must dominate the short-term velocity signal.
Rock glacier flow varies on multiple timescales. The variations have been linked to climatic...
Read more
Citation
The Cryosphere

An interactive open-access journal of the European Geosciences Union

All site content, except where otherwise noted, is licensed under the Creative Commons Attribution 4.0 License.
Contact
|
Imprint
|
Data protection