Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2445-2021
https://doi.org/10.5194/hess-25-2445-2021
Research article
 | 
10 May 2021
Research article |  | 10 May 2021

Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations

Elizabeth Cooper, Eleanor Blyth, Hollie Cooper, Rich Ellis, Ewan Pinnington, and Simon J. Dadson

Viewed

Total article views: 2,704 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,949 718 37 2,704 39 42
  • HTML: 1,949
  • PDF: 718
  • XML: 37
  • Total: 2,704
  • BibTeX: 39
  • EndNote: 42
Views and downloads (calculated since 06 Aug 2020)
Cumulative views and downloads (calculated since 06 Aug 2020)

Viewed (geographical distribution)

Total article views: 2,704 (including HTML, PDF, and XML) Thereof 2,398 with geography defined and 306 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Apr 2024
Download
Short summary
Soil moisture estimates from land surface models are important for forecasting floods, droughts, weather, and climate trends. We show that by combining model estimates of soil moisture with measurements from field-scale, ground-based sensors, we can improve the performance of the land surface model in predicting soil moisture values.