Articles | Volume 27, issue 14
https://doi.org/10.5194/hess-27-2661-2023
https://doi.org/10.5194/hess-27-2661-2023
Research article
 | 
19 Jul 2023
Research article |  | 19 Jul 2023

Data worth analysis within a model-free data assimilation framework for soil moisture flow

Yakun Wang, Xiaolong Hu, Lijun Wang, Jinmin Li, Lin Lin, Kai Huang, and Liangsheng Shi

Viewed

Total article views: 1,426 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,007 371 48 1,426 41 36 29
  • HTML: 1,007
  • PDF: 371
  • XML: 48
  • Total: 1,426
  • Supplement: 41
  • BibTeX: 36
  • EndNote: 29
Views and downloads (calculated since 22 Feb 2023)
Cumulative views and downloads (calculated since 22 Feb 2023)

Viewed (geographical distribution)

Total article views: 1,426 (including HTML, PDF, and XML) Thereof 1,365 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Nov 2024
Download
Short summary
To avoid overloaded monitoring cost from redundant measurements, this study proposed a non-parametric data worth analysis framework to assess the worth of future soil moisture data regarding the model-free unsaturated flow models before data gathering. Results indicated that (1) the method can quantify the data worth of alternative monitoring schemes to obtain the optimal one, and (2) high-quality and representative small data could be a better choice than unfiltered big data.