Description: The dataset presents quantification of fluvial flood risk of company assets by integrating flood hazard scenarios with flexible state-of-the-art Bayesian Network-based flood loss model and object-specific exposure data. The dataset consists of spatially explicit loss in terms of Expected Annual Damage (EAD) of companies (commercial and industrial sectors) for each NUTS3 region corresponding to a baseline and potential future scenarios shaped by climate change, exposure dynamics, and their combined effects. Additionally, the dataset includes simulation results under an intervention scenario "measures for all" where each company has atleast implemented one of the possible precautionary measures against flooding. In addition to the NUTS3-level EAD values, the dataset also includes loss estimates for each tile corresponding to the baseline (1995) scenario. More information on input variables, usage and calculation of EAD can be found in Devadas et al. (2025).
Global identifier:
Doi(
"10.5880/GFZ.RDOQ.2025.004",
)
Tags: Kombinationswirkung ? Hochwasser ? Überschwemmung ? Hochwasserschutz ? Europa ? Hochwasserrisiko ? Hochwassergefahr ? Daten ? Klimawandel ? Expected Annual Damage (EAD) ? Flood loss ? NUTS3 ? climate > climatic change > climate change adaptation ? economy > business economics ? hydrosphere > hydrologic cycle > flood ?
License: Creative Commons Namensnennung-gleiche Bedingungen 4.0
Language: Englisch/English
Issued: 2025-01-01
Last harvest: 20.06.2026 06:40
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