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
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RC1: 'Review of hess-2016-437', Anonymous Referee #1, 09 Sep 2016
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AC1: 'Response', Trenton Franz, 11 Oct 2016
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AC1: 'Response', Trenton Franz, 11 Oct 2016
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RC2: 'Review of hess-2016-437', Anonymous Referee #2, 20 Sep 2016
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AC2: 'Response', Trenton Franz, 11 Oct 2016
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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
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AC3: 'Response', Trenton Franz, 11 Oct 2016
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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
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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)
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RR by Anonymous Referee #2 (30 Jan 2017)
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ED: Publish subject to minor revisions (further review by Editor) (31 Jan 2017) by Matthew McCabe
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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
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AR by Trenton Franz on behalf of the Authors (14 Feb 2017)
Manuscript