Articles | Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4191–4208, 2016
https://doi.org/10.5194/hess-20-4191-2016
Hydrol. Earth Syst. Sci., 20, 4191–4208, 2016
https://doi.org/10.5194/hess-20-4191-2016

Research article 17 Oct 2016

Research article | 17 Oct 2016

Combining satellite observations to develop a global soil moisture product for near-real-time applications

Markus Enenkel et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (17 Feb 2016) by Alexander Loew
AR by Markus Enenkel on behalf of the Authors (10 Apr 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Apr 2016) by Alexander Loew
RR by Anonymous Referee #1 (02 May 2016)
RR by Anonymous Referee #2 (01 Jun 2016)
ED: Reconsider after major revisions (08 Jun 2016) by Alexander Loew
AR by Markus Enenkel on behalf of the Authors (20 Jul 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Jul 2016) by Alexander Loew
RR by Anonymous Referee #1 (17 Aug 2016)
ED: Publish as is (15 Sep 2016) by Alexander Loew
Download
Short summary
Soil moisture is a crucial variable for a variety of applications, ranging from weather forecasting and agricultural production to the monitoring of floods and droughts. Satellite observations are particularly important in regions where no in situ measurements are available. Our study presents a method to integrate global near-real-time satellite observations from different sensors into one harmonized, daily data set. A first validation shows good results on a global scale.