Articles | Volume 24, issue 2
https://doi.org/10.5194/nhess-24-429-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model
Download
- Final revised paper (published on 08 Feb 2024)
- Supplement to the final revised paper
- Preprint (discussion started on 24 Apr 2023)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on egusphere-2023-369', Anonymous Referee #1, 01 Jun 2023
- CC1: 'Reply on RC1', Rimali Mitra, 29 Jun 2023
- AC1: 'Reply on RC1', Hajime Naruse, 16 Jul 2023
-
RC2: 'Comment on egusphere-2023-369', Masaki Yamada, 20 Jun 2023
- CC2: 'Reply on RC2', Rimali Mitra, 29 Jun 2023
- AC2: 'Reply on RC2', Hajime Naruse, 16 Jul 2023
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (30 Sep 2023) by Rachid Omira
![](https://www.egusphere.net/graphic_grey_open_symbol_running_text.jpg)
AR by Hajime Naruse on behalf of the Authors (27 Nov 2023)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (20 Dec 2023) by Rachid Omira
![](https://www.egusphere.net/graphic_grey_open_symbol_running_text.jpg)
AR by Hajime Naruse on behalf of the Authors (22 Dec 2023)