Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5201-2017
https://doi.org/10.5194/hess-21-5201-2017
Research article
 | 
17 Oct 2017
Research article |  | 17 Oct 2017

SMOS near-real-time soil moisture product: processor overview and first validation results

Nemesio J. Rodríguez-Fernández, Joaquin Muñoz Sabater, Philippe Richaume, Patricia de Rosnay, Yann H. Kerr, Clement Albergel, Matthias Drusch, and Susanne Mecklenburg

Viewed

Total article views: 5,324 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,386 1,798 140 5,324 163 177
  • HTML: 3,386
  • PDF: 1,798
  • XML: 140
  • Total: 5,324
  • BibTeX: 163
  • EndNote: 177
Views and downloads (calculated since 09 May 2017)
Cumulative views and downloads (calculated since 09 May 2017)

Viewed (geographical distribution)

Total article views: 5,324 (including HTML, PDF, and XML) Thereof 5,106 with geography defined and 218 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Mar 2026
Download
Short summary
The new SMOS satellite near-real-time (NRT) soil moisture (SM) product based on a neural network is presented. The NRT SM product has been evaluated with respect to the SMOS Level 2 product and against a large number of in situ measurements showing performances similar to those of the Level 2 product but it is available in less than 3.5 h after sensing. The new product is distributed by the European Space Agency and the European Organisation for the Exploitation of Meteorological Satellites.
Share