Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5639-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.Special issue:
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
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- Final revised paper (published on 01 Nov 2018)
- Preprint (discussion started on 09 Apr 2018)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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SC1: 'Deep learning as a promising avenue toward knowledge discovery in water sciences', Sivarajah Mylevaganam, 30 Apr 2018
- AC1: 'Reply to SC1', Chaopeng Shen, 04 Jun 2018
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RC1: 'Revision of "Deep learning as a promising avenue toward knowledge discovery in water sciences"', Anonymous Referee #1, 06 May 2018
- AC2: 'Reply to RC1', Chaopeng Shen, 04 Jun 2018
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RC2: 'Review of Shen et al "Deep learning as a promising avenue toward knowledge discovery in water sciences"', Matthew McCabe, 10 May 2018
- AC3: 'Reply to AR3', Chaopeng Shen, 04 Jun 2018
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RC3: 'Review of "Deep learning as a promising avenue toward knowledge discovery in water sciences"', Keith Sawicz, 15 Jun 2018
- SC2: 'reply to Dr. Sawicz', Chaopeng Shen, 20 Jun 2018
- AC4: 'Group reply to Dr. Sawicz', Chaopeng Shen, 18 Jul 2018
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SC3: 'early notes for manuscript revision', Chaopeng Shen, 21 Jun 2018
- AC5: 'Final summary of responses', Chaopeng Shen, 18 Jul 2018
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (22 Jul 2018) by Louise Slater
AR by Chaopeng Shen on behalf of the Authors (02 Sep 2018)
Author's response
Manuscript
ED: Publish subject to technical corrections (19 Sep 2018) by Louise Slater
AR by Chaopeng Shen on behalf of the Authors (25 Sep 2018)
Author's response
Manuscript