The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0

Di Bacco, Mario; Molinari, Daniela; Scorzini, Anna Rita

doi:https://doi.org/10.5194/nhess-24-1681-2024

Articles | Volume 24, issue 5

https://doi.org/10.5194/nhess-24-1681-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-24-1681-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 5

Research article

|

14 May 2024

Research article |

| 14 May 2024

The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0

Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini

Supplement

https://doi.org/10.5194/nhess-24-1681-2024-supplement

Model code and software

INSYDE 2.0 Mario Di Bacco et al. https://doi.org/10.17632/jpdb89gxn5.1

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Short summary

INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.