Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 1
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.
Collection:
https://doi.org/10.5194/nhess-26-103-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 1
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

Viewed

Total article views: 2,057 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,508 491 58 2,057 127 40 78
  • HTML: 1,508
  • PDF: 491
  • XML: 58
  • Total: 2,057
  • Supplement: 127
  • BibTeX: 40
  • EndNote: 78
Views and downloads (calculated since 22 Apr 2025)
Cumulative views and downloads (calculated since 22 Apr 2025)

Viewed (geographical distribution)

Total article views: 2,057 (including HTML, PDF, and XML) Thereof 1,910 with geography defined and 147 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Mar 2026
Download
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.
Read more
Share
Collection
Water extremes: innovative approaches to managing floods and...
Altmetrics
Final-revised paper
Preprint