Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-103-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
FLEMOflash – Flood Loss Estimation MOdels for companies and households affected by flash floods
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- Final revised paper (published on 13 Jan 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 22 Apr 2025)
- 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 egusphere-2025-1512', Anonymous Referee #1, 06 Jun 2025
- AC1: 'Reply on RC1', Ravi Kumar Guntu, 23 Aug 2025
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RC2: 'Comment on egusphere-2025-1512', Anonymous Referee #2, 19 Jun 2025
- AC2: 'Reply on RC2', Ravi Kumar Guntu, 23 Aug 2025
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (24 Aug 2025) by Kai Schröter
AR by Ravi Kumar Guntu on behalf of the Authors (25 Aug 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (26 Aug 2025) by Kai Schröter
RR by Anonymous Referee #1 (19 Sep 2025)
RR by Anonymous Referee #2 (10 Oct 2025)
ED: Reconsider after major revisions (further review by editor and referees) (11 Oct 2025) by Kai Schröter
AR by Ravi Kumar Guntu on behalf of the Authors (01 Nov 2025)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (08 Nov 2025) by Kai Schröter
RR by Anonymous Referee #2 (23 Dec 2025)
ED: Publish subject to technical corrections (23 Dec 2025) by Kai Schröter
AR by Ravi Kumar Guntu on behalf of the Authors (25 Dec 2025)
Author's response
Manuscript
NHESS 1512
This paper is in the context of flash floods, loss estimation models, and flood preparedness. The paper introduces the FLEMOflash model, using data from past German flash floods; methodologically, it combines machine learning and Bayesian networks to estimate probabilistic losses and their uncertainties. In terms of topics, the paper is relevant for and aligned with NHESS.
The paper is well-written and -organised. Comments are mostly minor (even typos). The only major comment is about preparedness. From the paper, I do not understand what is meant by preparedness, and in specific what ‘high’ and ‘low’ preparedness mean. What are the assumptions behind ‘preparedness’? e.g. that people with more knowledge of risk will act in a certain way (which way?)? At page 14, it is said: ‘…doesn’t knew what to do’. For high preparedness, what people know about what to do? The model seems suited to derive the predictive density of losses, however I have doubt about the effect of preparedness. I would be very cautious to include this part in the paper.
A secondary comment is that I would add some background about the previous/traditional version of FLEMO (e.g. https://www.gfz.de/en/section/hydrology/projects/4-flood-loss-model-flemo-for-residential-and-commercial-sectors); there is none at the moment I think.
Specific comments (P for page, L for line):