Articles | Volume 21, issue 5
Nat. Hazards Earth Syst. Sci., 21, 1599–1614, 2021
https://doi.org/10.5194/nhess-21-1599-2021
Nat. Hazards Earth Syst. Sci., 21, 1599–1614, 2021
https://doi.org/10.5194/nhess-21-1599-2021

Research article 26 May 2021

Research article | 26 May 2021

Residential flood loss estimated from Bayesian multilevel models

Guilherme S. Mohor et al.

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Cited articles

Amadio, M., Scorzini, A. R., Carisi, F., Essenfelder, A. H., Domeneghetti, A., Mysiak, J., and Castellarin, A.: Testing empirical and synthetic flood damage models: the case of Italy, Nat. Hazards Earth Syst. Sci., 19, 661–678, https://doi.org/10.5194/nhess-19-661-2019, 2019. a
Bernet, D. B., Prasuhn, V., and Weingartner, R.: Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time, Nat. Hazards Earth Syst. Sci., 17, 1659–1682, https://doi.org/10.5194/nhess-17-1659-2017, 2017. a
Bubeck, P., Berghäuser, L., Hudson, P., and Thieken, A. H.: Using Panel Data to Understand the Dynamics of Human Behavior in Response to Flooding, Risk Anal., 40, 2340–2359, https://doi.org/10.1111/risa.13548, 2020. a
Bürkner, P.-C.: Advanced Bayesian Multilevel Modeling with the R Package brms, R J., 10, 395–411, 2018. a, b, c
Cammerer, H., Thieken, A. H., and Lammel, J.: Adaptability and transferability of flood loss functions in residential areas, Nat. Hazards Earth Syst. Sci., 13, 3063–3081, https://doi.org/10.5194/nhess-13-3063-2013, 2013. a
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We explored differences in the damaging process across different flood types, regions within Germany, and six flood events through a numerical model in which the groups can learn from each other. Differences were found mostly across flood types, indicating the importance of identifying them, but there is great overlap across regions and flood events, indicating either that socioeconomic or temporal information was not well represented or that they are in fact less different within our cases.
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