SOIL
SOIL
SOIL
Articles | Volume 10, issue 2
Articles | Volume 10, issue 2
https://doi.org/10.5194/soil-10-655-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-10-655-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 2
Original research article
 | 
20 Sep 2024
Original research article |  | 20 Sep 2024

Depth extrapolation of field-scale soil moisture time series derived with cosmic-ray neutron sensing (CRNS) using the soil moisture analytical relationship (SMAR) model

Daniel Rasche, Theresa Blume, and Andreas Güntner

Viewed

Total article views: 3,771 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,134 323 314 3,771 74 105
  • HTML: 3,134
  • PDF: 323
  • XML: 314
  • Total: 3,771
  • BibTeX: 74
  • EndNote: 105
Views and downloads (calculated since 29 Jan 2024)
Cumulative views and downloads (calculated since 29 Jan 2024)

Viewed (geographical distribution)

Total article views: 3,771 (including HTML, PDF, and XML) Thereof 3,679 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Apr 2026
Download
Short summary
Soil moisture measurements at the field scale are highly beneficial for numerous (soil) hydrological applications. Cosmic-ray neutron sensing (CRNS) allows for the non-invasive monitoring of field-scale soil moisture across several hectares but only for the first few tens of centimetres of the soil. In this study, we modify and test a simple modeling approach to extrapolate CRNS-derived surface soil moisture information down to 450 cm depth and compare calibrated and uncalibrated model results.
Read more
Share