Testing empirical and synthetic flood damage  models: the case of Italy

Amadio, Mattia; Scorzini, Anna Rita; Carisi, Francesca; Essenfelder, Arthur H.; Domeneghetti, Alessio; Mysiak, Jaroslav; Castellarin, Attilio

doi:https://doi.org/10.5194/nhess-19-661-2019

Articles | Volume 19, issue 3

https://doi.org/10.5194/nhess-19-661-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Flood risk assessment and management

https://doi.org/10.5194/nhess-19-661-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 3

Research article

|

29 Mar 2019

Research article |

| 29 Mar 2019

Testing empirical and synthetic flood damage models: the case of Italy

Mattia Amadio, Anna Rita Scorzini, Francesca Carisi, Arthur H. Essenfelder, Alessio Domeneghetti, Jaroslav Mysiak, and Attilio Castellarin

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Final revised paper (published on 29 Mar 2019)
Preprint (discussion started on 20 Nov 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer's report', Anonymous Referee #1, 12 Dec 2018
- AC2: 'Response to RC1', Mattia Amadio, 28 Jan 2019
RC2: 'Review “Estimating flood damage in Italy: Empirical vs expert-based modelling approach”', Anonymous Referee #2, 19 Dec 2018
- AC1: 'Response to RC2', Mattia Amadio, 28 Jan 2019

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (16 Feb 2019) by Cristina Prieto

AR by Anna Wenzel on behalf of the Authors (20 Feb 2019) Author's response Manuscript

ED: Publish subject to technical corrections (09 Mar 2019) by Cristina Prieto

Short summary

Flood risk management relies on assessments performed using flood loss models of different complexities. We compared the performances of expert-based and empirical damage models on three major flood events in northern Italy. Our findings suggest that multivariate models have better potential to provide reliable damage estimates if extensive ancillary characterisation data are available. Expert-based approaches are better suited for transferability compared to empirically based approaches.