Articles | Volume 25, issue 11
https://doi.org/10.5194/nhess-25-4317-2025
https://doi.org/10.5194/nhess-25-4317-2025
Research article
 | 
04 Nov 2025
Research article |  | 04 Nov 2025

INSYDE-content: a synthetic, multi-variable flood damage model for household contents

Pradeep Acharya, Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini

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Short summary
INSYDE-content is a novel probabilistic model designed to estimate flood damage to household contents. Based on a synthetic “what-if” approach, it integrates multiple input variables describing both exposed items and damage mechanisms, while accounting for uncertainty. The model expands the range of available tools for flood damage assessment by including an often overlooked asset in current literature.
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