Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3267-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.Multi-source hydrological soil moisture state estimation using data fusion optimisation
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- Final revised paper (published on 04 Jul 2017)
- Preprint (discussion started on 14 Oct 2016)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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RC1: 'Text of the paper and References', Anonymous Referee #1, 14 Feb 2017
- AC1: 'Replies to Referee 1', Lu Zhuo, 14 Feb 2017
- RC2: 'reply', Anonymous Referee #1, 15 Feb 2017
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RC3: 'Multi-source hydrological soil moisture state estimation using data fusion optimisation', Anonymous Referee #2, 26 Mar 2017
- AC2: 'Replies to Referee 2', Lu Zhuo, 28 Mar 2017
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
AR by Lu Zhuo on behalf of the Authors (05 Jun 2017)