Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1263-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks
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- Final revised paper (published on 02 Mar 2017)
- Supplement to the final revised paper
- Preprint (discussion started on 26 Aug 2016)
- Supplement to the preprint
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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RC1: 'Review of hess-2016-437', Anonymous Referee #1, 09 Sep 2016
- AC1: 'Response', Trenton Franz, 11 Oct 2016
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RC2: 'Review of hess-2016-437', Anonymous Referee #2, 20 Sep 2016
- AC2: 'Response', Trenton Franz, 11 Oct 2016
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RC3: 'Reviewer comments for manuscript (hess-2016-437) by Foolad et al.', Anonymous Referee #3, 25 Sep 2016
- AC3: 'Response', Trenton Franz, 11 Oct 2016
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (27 Oct 2016) by Matthew McCabe
AR by Trenton Franz on behalf of the Authors (07 Dec 2016)
Author's response
Manuscript
ED: Referee Nomination & Report Request started (24 Dec 2016) by Matthew McCabe
RR by Anonymous Referee #3 (11 Jan 2017)
RR by Anonymous Referee #2 (30 Jan 2017)
ED: Publish subject to minor revisions (further review by Editor) (31 Jan 2017) by Matthew McCabe
AR by Trenton Franz on behalf of the Authors (09 Feb 2017)
Author's response
Manuscript
ED: Publish as is (14 Feb 2017) by Matthew McCabe
AR by Trenton Franz on behalf of the Authors (14 Feb 2017)
Manuscript