Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 8
Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4567-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-4567-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 8
Research article
 | 
24 Aug 2021
Research article |  | 24 Aug 2021

Satellite soil moisture data assimilation for improved operational continental water balance prediction

Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly

Viewed

Total article views: 3,694 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,604 1,014 76 3,694 78 107
  • HTML: 2,604
  • PDF: 1,014
  • XML: 76
  • Total: 3,694
  • BibTeX: 78
  • EndNote: 107
Views and downloads (calculated since 12 Oct 2020)
Cumulative views and downloads (calculated since 12 Oct 2020)

Viewed (geographical distribution)

Total article views: 3,694 (including HTML, PDF, and XML) Thereof 3,378 with geography defined and 316 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
Download
Short summary
Accurate daily continental water balance predictions are valuable in monitoring and forecasting water availability and land surface conditions. A simple and robust method was developed for an operational water balance model to constrain model predictions temporally and spatially with satellite soil moisture observations. The improved soil water storage prediction can provide constraints in model forecasts that persist for several weeks.
Read more
Share