Articles | Volume 21, issue 5
Nat. Hazards Earth Syst. Sci., 21, 1599–1614, 2021
Nat. Hazards Earth Syst. Sci., 21, 1599–1614, 2021

Research article 26 May 2021

Research article | 26 May 2021

Residential flood loss estimated from Bayesian multilevel models

Guilherme S. Mohor et al.

Related authors

Compound flood events: different pathways–different impacts–different coping options?
Annegret H. Thieken, Guilherme S. Mohor, Heidi Kreibich, and Meike Müller
Nat. Hazards Earth Syst. Sci. Discuss.,,, 2021
Revised manuscript under review for NHESS
Short summary
Are flood damage models converging to “reality”? Lessons learnt from a blind test
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017,,, 2020
Short summary
Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system, Brazil
Denise Taffarello, Raghavan Srinivasan, Guilherme Samprogna Mohor, João Luis Bittencourt Guimarães, Maria do Carmo Calijuri, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 22, 4699–4723,,, 2018
Short summary
Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios
Diego A. Guzmám, Guilherme S. Mohor, Denise Taffarello, and Eduardo M. Mendiondo
Hydrol. Earth Syst. Sci. Discuss.,,, 2017
Manuscript not accepted for further review
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Flood and drought risk assessment for agricultural areas (Tagus Estuary, Portugal)
Paula Freire, Marta Rodrigues, André B. Fortunato, and Alberto Freitas
Nat. Hazards Earth Syst. Sci., 21, 2503–2521,,, 2021
Short summary
An inventory of Alpine drought impact reports to explore past droughts in a mountain region
Ruth Stephan, Mathilde Erfurt, Stefano Terzi, Maja Žun, Boštjan Kristan, Klaus Haslinger, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 21, 2485–2501,,, 2021
Short summary
The potential of machine learning for weather index insurance
Luigi Cesarini, Rui Figueiredo, Beatrice Monteleone, and Mario L. V. Martina
Nat. Hazards Earth Syst. Sci., 21, 2379–2405,,, 2021
Short summary
Indirect flood impacts and cascade risk across interdependent linear infrastructures
Chiara Arrighi, Maria Pregnolato, and Fabio Castelli
Nat. Hazards Earth Syst. Sci., 21, 1955–1969,,, 2021
Short summary
Predicting social and health vulnerability to floods in Bangladesh
Donghoon Lee, Hassan Ahmadul, Jonathan Patz, and Paul Block
Nat. Hazards Earth Syst. Sci., 21, 1807–1823,,, 2021
Short summary

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,, 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,, 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,, 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,, 2013. a
Short summary
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.
Final-revised paper