Articles | Volume 16, issue 6
https://doi.org/10.5194/gmd-16-1601-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
Addressing challenges in uncertainty quantification: the case of geohazard assessments
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- Final revised paper (published on 21 Mar 2023)
- Preprint (discussion started on 17 Oct 2022)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
- RC1: 'Comment on gmd-2022-210', Anonymous Referee #1, 26 Nov 2022
- RC2: 'Comment on gmd-2022-210', Anonymous Referee #2, 11 Dec 2022
- AC1: 'Comment on gmd-2022-210', Ibsen Chivata Cardenas, 24 Jan 2023
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Ibsen Chivata Cardenas on behalf of the Authors (24 Jan 2023)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (24 Jan 2023) by Dan Lu
RR by Anthony Gruber (25 Jan 2023)
ED: Publish subject to technical corrections (02 Feb 2023) by Dan Lu
ED: Publish subject to technical corrections (06 Mar 2023) by David Ham (Executive editor)
AR by Ibsen Chivata Cardenas on behalf of the Authors (06 Mar 2023)
Author's response
Manuscript
The paper reviews the state of the art and open challenges in uncertainty quantification for geohazard assessments. It puts a significant portion of literature into context, followed by a case-study example based on the work of Zhao et al. (2021).
The manuscript is well written, and I could not identify obvious errors. The scientific novelty is fulfilled, as the paper sheds new light on the discussion of UQ in the present context, and puts previously disconnected literature into context. The example is illustrative and well discussed.
To sum up, I can recommend the publication of the manuscript.