Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-197-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach
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- Final revised paper (published on 11 Jan 2017)
- Supplement to the final revised paper
- Preprint (discussion started on 15 Jul 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: 'comments for hess-2016-344', Anonymous Referee #1, 17 Aug 2016
- AC1: 'Response to Reviwer 1', Kaniska Mallick, 13 Oct 2016
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RC2: 'comments for hess 2016-344', Anonymous Referee #2, 12 Sep 2016
- AC2: 'Response to Reviewer 2', Kaniska Mallick, 13 Oct 2016
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RC3: 'Review', Anonymous Referee #3, 16 Sep 2016
- AC3: 'Response to Reviewer 3', Kaniska Mallick, 13 Oct 2016
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (20 Oct 2016) by Miriam Coenders-Gerrits
AR by Kaniska Mallick on behalf of the Authors (30 Nov 2016)
Author's response
Manuscript
ED: Publish as is (01 Dec 2016) by Miriam Coenders-Gerrits
AR by Kaniska Mallick on behalf of the Authors (05 Dec 2016)
Manuscript