Articles | Volume 29, issue 3
https://doi.org/10.5194/hess-29-785-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
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- Final revised paper (published on 13 Feb 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 14 Jun 2024)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on hess-2024-169', Anonymous Referee #1, 16 Jul 2024
- AC1: 'Reply on RC1', Everett Snieder, 06 Sep 2024
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RC2: 'Comment on hess-2024-169', Anonymous Referee #2, 16 Jul 2024
- AC2: 'Reply on RC2', Everett Snieder, 06 Sep 2024
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (16 Sep 2024) by Ralf Loritz

AR by Everett Snieder on behalf of the Authors (25 Oct 2024)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (06 Nov 2024) by Ralf Loritz
RR by Yalan Song (26 Nov 2024)

ED: Publish subject to technical corrections (06 Dec 2024) by Ralf Loritz

AR by Everett Snieder on behalf of the Authors (12 Dec 2024)
Author's response
Manuscript