Reconstruction of flow conditions from 2004 Indian Ocean tsunami deposits at the Phra Thong island using a deep neural network inverse model

Mitra, Rimali; Naruse, Hajime; Fujino, Shigehiro

doi:https://doi.org/10.5194/nhess-21-1667-2021

Articles | Volume 21, issue 5

https://doi.org/10.5194/nhess-21-1667-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-21-1667-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 5

Research article

|

31 May 2021

Research article |

| 31 May 2021

Reconstruction of flow conditions from 2004 Indian Ocean tsunami deposits at the Phra Thong island using a deep neural network inverse model

Rimali Mitra, Hajime Naruse, and Shigehiro Fujino

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Final revised paper (published on 31 May 2021)
Preprint (discussion started on 16 Nov 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comment to nhess-2020-373 - Reconstruction of flow conditions from 2004 Indian Ocean tsunami deposits at the Phra Thong island using a deep neural network inverse model - by Mitra et al.', Pedro Costa, 24 Nov 2020
- AC1: 'Reply to Referee 1, Pedro Costa', Rimali Mitra, 23 Dec 2020
- AC5: 'Revision of the representative grain-size class diameters for the dataset from Phra Thong island', Rimali Mitra, 05 Jan 2021
RC2: 'Annotated version', Pedro Costa, 24 Nov 2020
- AC2: 'Reply to Referee 1 (Annotation), Pedro Costa', Rimali Mitra, 23 Dec 2020
RC3: 'Referee report', Anonymous Referee #2, 26 Nov 2020
- AC3: 'Reply to Anonymous Referee 2', Rimali Mitra, 23 Dec 2020
- AC6: 'Revision of the representative grain size class diameters for the dataset from Phra Thong island', Rimali Mitra, 05 Jan 2021
RC4: 'Comments on nhess-2020-373', Anonymous Referee #3, 27 Nov 2020
- AC4: 'Reply to Anonymous Referee 3', Rimali Mitra, 23 Dec 2020
- AC7: 'Revision of the representative grain-size class diameters for the dataset from Phra Thong island', Rimali Mitra, 05 Jan 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (15 Jan 2021) by Maria Ana Baptista

AR by Rimali Mitra on behalf of the Authors (15 Feb 2021) Author's response Author's tracked changes Manuscript

ED: Reconsider after major revisions (further review by editor and referees) (04 Mar 2021) by Maria Ana Baptista

ED: Referee Nomination & Report Request started (04 Mar 2021) by Maria Ana Baptista

RR by Pedro Costa (18 Mar 2021)

ED: Publish as is (26 Mar 2021) by Maria Ana Baptista

Post-review adjustments

AA: Author's adjustment | EA: Editor approval

AA by Rimali Mitra on behalf of the Authors (20 May 2021) Author's adjustment Manuscript

EA: Adjustments approved (26 May 2021) by Maria Ana Baptista

Short summary

A case study on the 2004 Indian Ocean tsunami was conducted at the Phra Thong island, Thailand, using a deep neural network (DNN) inverse model. The model estimated tsunami characteristics from the deposits at Phra Thong island. The uncertainty quantification of the result was evaluated. The predicted flow conditions and the depositional characteristics were compared with the reported observed values. This DNN model can serve as an essential tool for tsunami hazard mitigation at coastal cities.