Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 21
Articles | Volume 28, issue 21
https://doi.org/10.5194/hess-28-4819-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-4819-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 21
Research article
 | 
06 Nov 2024
Research article |  | 06 Nov 2024

Mapping soil moisture across the UK: assimilating cosmic-ray neutron sensors, remotely sensed indices, rainfall radar and catchment water balance data in a Bayesian hierarchical model

Peter E. Levy and the COSMOS-UK team

Viewed

Total article views: 1,953 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,623 268 62 1,953 44 40
  • HTML: 1,623
  • PDF: 268
  • XML: 62
  • Total: 1,953
  • BibTeX: 44
  • EndNote: 40
Views and downloads (calculated since 12 Sep 2023)
Cumulative views and downloads (calculated since 12 Sep 2023)

Viewed (geographical distribution)

Total article views: 1,953 (including HTML, PDF, and XML) Thereof 1,577 with geography defined and 376 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach that is closely linked to direct measurements of soil moisture at a network sites across the UK, to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212) and to remotely sensed satellite estimates.
Read more
Share