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 11, issue 5
The Cryosphere, 11, 2089–2109, 2017
https://doi.org/10.5194/tc-11-2089-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 2089–2109, 2017
https://doi.org/10.5194/tc-11-2089-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Sep 2017

Research article | 06 Sep 2017

Coupled land surface–subsurface hydrogeophysical inverse modeling to estimate soil organic carbon content and explore associated hydrological and thermal dynamics in the Arctic tundra

Anh Phuong Tran et al.
Viewed  
Total article views: 1,239 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
764 396 79 1,239 33 94
  • HTML: 764
  • PDF: 396
  • XML: 79
  • Total: 1,239
  • BibTeX: 33
  • EndNote: 94
Views and downloads (calculated since 07 Feb 2017)
Cumulative views and downloads (calculated since 07 Feb 2017)
Viewed (geographical distribution)  
Total article views: 1,159 (including HTML, PDF, and XML) Thereof 1,157 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 09 Dec 2019
Publications Copernicus
Download
Short summary
Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global warming in permafrost regions are particularly important for the prediction of future climate variation. Our study proposes a new surface–subsurface, joint deterministic–stochastic hydrological–thermal–geophysical inversion approach and documents the benefit of including multiple types of data to estimate the vertical profile of SOC content and its influence on hydrological–thermal dynamics.
Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global...
Citation