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

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Status: closed
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (02 Aug 2017) by Gerrit H. de Rooij
AR by Nemesio Rodriguez-Fernandez on behalf of the Authors (29 Aug 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Aug 2017) by Gerrit H. de Rooij
RR by Anonymous Referee #1 (03 Sep 2017)
ED: Publish subject to technical corrections (04 Sep 2017) by Gerrit H. de Rooij
AR by Nemesio Rodriguez-Fernandez on behalf of the Authors (06 Sep 2017)  Manuscript 
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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.