Articles | Volume 24, issue 12
https://doi.org/10.5194/hess-24-5759-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.Physics-inspired integrated space–time artificial neural networks for regional groundwater flow modeling
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- Final revised paper (published on 03 Dec 2020)
- Preprint (discussion started on 03 Apr 2020)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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RC1: 'Review report, hess-2020-117', Anonymous Referee #1, 07 May 2020
- AC1: 'Response to Reviewer 1 Comments', Venkatesh Uddameri, 16 Jun 2020
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RC2: 'Review: Physics-inspired integrated space-time Artificial Neural Networks for regional groundwater flow modeling', Anonymous Referee #2, 12 May 2020
- AC2: 'Response to Reviewer 2 Comments', Venkatesh Uddameri, 16 Jun 2020
- EC1: 'Editor's final comment', Dimitri Solomatine, 16 Jun 2020
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (16 Jun 2020) by Dimitri Solomatine
AR by Anna Wenzel on behalf of the Authors (22 Jul 2020) 
Author's response
ED: Referee Nomination & Report Request started (07 Aug 2020) by Dimitri Solomatine
RR by Anonymous Referee #2 (24 Aug 2020)
RR by Anonymous Referee #1 (05 Sep 2020)
ED: Publish as is (28 Sep 2020) by Dimitri Solomatine