Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 4
Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2255-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2255-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 4
Research article
 | 
13 Apr 2018
Research article |  | 13 Apr 2018

Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values

Coleen D. U. Carranza, Martine J. van der Ploeg, and Paul J. J. F. Torfs

Viewed

Total article views: 3,233 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,158 975 100 3,233 67 77
  • HTML: 2,158
  • PDF: 975
  • XML: 100
  • Total: 3,233
  • BibTeX: 67
  • EndNote: 77
Views and downloads (calculated since 13 Nov 2017)
Cumulative views and downloads (calculated since 13 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,233 (including HTML, PDF, and XML) Thereof 3,104 with geography defined and 129 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Remote sensing has been popular for mapping surface soil moisture. However, estimating subsurface values using surface soil moisture remains a challenge, as decoupling can occur. Depth-integrated soil moisture values used in hydrological models are affected by vertical variability. Using statistical methods, we investigate vertical variability between the surface (5 cm) and subsurface (40 cm) to quantify decoupling. We also discuss potential controls for decoupling during wet and dry conditions.
Read more