Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 3267-3285, 2017
https://doi.org/10.5194/hess-21-3267-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
04 Jul 2017
Multi-source hydrological soil moisture state estimation using data fusion optimisation
Lu Zhuo and Dawei Han
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Text of the paper and References', Anonymous Referee #1, 14 Feb 2017 Printer-friendly Version 
AC1: 'Replies to Referee 1', Lu Zhuo, 14 Feb 2017 Printer-friendly Version 
 
RC2: 'reply', Anonymous Referee #1, 15 Feb 2017 Printer-friendly Version 
 
RC3: 'Multi-source hydrological soil moisture state estimation using data fusion optimisation', Anonymous Referee #2, 26 Mar 2017 Printer-friendly Version 
AC2: 'Replies to Referee 2', Lu Zhuo, 28 Mar 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (10 Apr 2017) by Alexander Gelfan  
AR by Lu Zhuo on behalf of the Authors (11 Apr 2017)  Author's response  Manuscript
ED: Publish subject to minor revisions (further review by Editor) (13 May 2017) by Alexander Gelfan  
AR by Lu Zhuo on behalf of the Authors (17 May 2017)  Author's response  Manuscript
ED: Publish as is (03 Jun 2017) by Alexander Gelfan  
CC BY 4.0
Publications Copernicus
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Short summary
Reliable estimation of hydrological soil moisture state is of critical importance in operational hydrology to improve the flood prediction and hydrological cycle description. This paper attempts for the first time to build a soil moisture product directly applicable to hydrology using multiple data sources retrieved from remote sensing and land surface modelling. The result shows a significant improvement of the soil moisture state accuracy; the method can be easily applied in other catchments.
Reliable estimation of hydrological soil moisture state is of critical importance in operational...
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