Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 9
Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4605-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-22-4605-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 9
Research article
 | 
03 Sep 2018
Research article |  | 03 Sep 2018

Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation

Anouk I. Gevaert, Luigi J. Renzullo, Albert I. J. M. van Dijk, Hans J. van der Woerd, Albrecht H. Weerts, and Richard A. M. de Jeu

Viewed

Total article views: 4,654 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,227 1,317 110 4,654 506 141 171
  • HTML: 3,227
  • PDF: 1,317
  • XML: 110
  • Total: 4,654
  • Supplement: 506
  • BibTeX: 141
  • EndNote: 171
Views and downloads (calculated since 04 Apr 2018)
Cumulative views and downloads (calculated since 04 Apr 2018)

Viewed (geographical distribution)

Total article views: 4,654 (including HTML, PDF, and XML) Thereof 4,389 with geography defined and 265 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 18 May 2026
Download
Short summary
We assimilated three satellite soil moisture retrievals based on different microwave frequencies into a hydrological model. Two sets of experiments were performed, first assimilating the retrievals individually and then assimilating each set of two retrievals jointly. Overall, assimilation improved agreement between model and field-measured soil moisture. Joint assimilation resulted in model performance similar to or better than assimilating either retrieval individually.
Read more
Share
Special issue
Integration of Earth observations and models for global water...