Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-1931-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Hidden-state modeling of a cross-section of geoelectric time series data can provide reliable intermediate-term probabilistic earthquake forecasting in Taiwan
Download
- Final revised paper (published on 09 Jun 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 04 Jan 2022)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
-
RC1: 'Comment on nhess-2021-378', Anonymous Referee #1, 15 Jan 2022
- AC1: 'Reply on RC1', Haoyu Wen, 30 Jan 2022
-
RC2: 'Comment on nhess-2021-378', Anonymous Referee #2, 18 Feb 2022
-
AC2: 'Reply on RC2', Haoyu Wen, 25 Feb 2022
-
RC3: 'Reply on AC2', Anonymous Referee #2, 03 Mar 2022
- AC3: 'Reply on RC3', Haoyu Wen, 09 Mar 2022
-
RC3: 'Reply on AC2', Anonymous Referee #2, 03 Mar 2022
-
AC2: 'Reply on RC2', Haoyu Wen, 25 Feb 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish as is (07 May 2022) by Filippos Vallianatos
AR by Haoyu Wen on behalf of the Authors (12 May 2022)
Author's response
Manuscript