Future Flood Losses to Company Assets in Europe

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Paprotny, Dominik;Kreibich, Heidi;Steinhausen, Max;Oostwegel, Laurens J.N.;Endendijk, Thijs;Schoppa, Lukas;Domeneghetti, Alessio;Castellarin, Attilio;Dottori, Francesco;D'Angelo, Claudia;Mentaschi, Lorenzo;Kuiry, Soumendra Nath;Sairam, Nivedita;Devadas, Bhadra

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) [DOI will be updated after publication].

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.1

FAIR Score

58%

Citations

2

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

GFZ Data Services

License

Creative Commons Attribution Share Alike 4.0 International

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

48%

Source

Scholar Data Model

Normalization Factors

FT

40.38

CTw

1.00

MTw

1.00