Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-103-2026
https://doi.org/10.5194/nhess-26-103-2026
Research article
 | 
13 Jan 2026
Research article |  | 13 Jan 2026

FLEMOflash – Flood Loss Estimation MOdels for companies and households affected by flash floods

Apoorva Singh, Ravikumar Guntu, Nivedita Sairam, Kasra Rafiezadeh Shahi, Anna Buch, Melanie Fischer, Chandrika Thulaseedharan Dhanya, and Heidi Kreibich

Data sets

HOWAS21 GFZ Helmholtz Centre for Geosciences https://doi.org/10.1594/GFZ.SDDB.HOWAS21

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Short summary
We develop novel probabilistic models to estimate flash flood losses of companies and households in Germany. Using multiple flash flood events, we identify key drivers of flash floods loss. FLEMO flash model reveals that for companies, the effectiveness of emergency measures is crucial in mitigating losses. In contrast, household benefit more from knowledge about emergency action, suggesting adaptation strategies can effectively reduce flash flood losses.
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