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Journal Article

Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020

Authors
/persons/resource/Dominik.Paprotny

Paprotny,  Dominik
Potsdam Institute for Climate Impact Research;
Submitting Corresponding Author, Potsdam Institute for Climate Impact Research;

Rhein,  Belinda
External Organizations;

Vousdoukas,  Michalis I.
External Organizations;

Terefenko,  Paweł
External Organizations;

Dottori,  Francesco
External Organizations;

/persons/resource/Simon.Treu

Treu,  Simon
Potsdam Institute for Climate Impact Research;

Śledziowski,  Jakub
External Organizations;

Feyen,  Luc
External Organizations;

Kreibich,  Heidi
External Organizations;

External Ressource

https://doi.org/10.5281/zenodo.10678820
(Supplementary material)

https://doi.org/10.5281/zenodo.12635205
(Supplementary material)

Fulltext (public)

hess-28-3983-2024.pdf
(Publisher version), 10MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Paprotny, D., Rhein, B., Vousdoukas, M. I., Terefenko, P., Dottori, F., Treu, S., Śledziowski, J., Feyen, L., Kreibich, H. (2024): Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020. - Hydrology and Earth System Sciences, 28, 17, 3983-4010.
https://doi.org/10.5194/hess-28-3983-2024


Cite as: https://publications.pik-potsdam.de/pubman/item/item_30264
Abstract
Long-term trends in flood losses are regulated by multiple factors including climate variation, demographic dynamics, economic growth, land-use transitions, reservoir construction and flood risk reduction measures. The attribution of those drivers through the use of counterfactual scenarios of hazard, exposure or vulnerability first requires a good representation of historical events, including their location, their intensity and the factual circumstances in which they occurred. Here, we develop a chain of models that is capable of recreating riverine, coastal and compound floods in Europe between 1950 and 2020 that had a potential to cause significant socioeconomic impacts. This factual catalogue of almost 15 000 such events was scrutinized with historical records of flood impacts. We found that at least 10 % of them led to significant socioeconomic impacts (including fatalities) according to available sources. The model chain was able to capture events responsible for 96 % of known impacts contained in the Historical Analysis of Natural Hazards in Europe (HANZE) flood impact database in terms of persons affected and economic losses and for 81 % of fatalities. The dataset enables the study of the drivers of vulnerability and flood adaptation due to a large sample of events with historical impact data. The model chain can be further used to generate counterfactual events, especially those related to climate change and human influence on catchments.