Articles | Volume 21, issue 5
Research article
26 May 2021
Research article |  | 26 May 2021

Residential flood loss estimated from Bayesian multilevel models

Guilherme S. Mohor, Annegret H. Thieken, and Oliver Korup


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (11 Mar 2021) by Daniela Molinari
AR by Guilherme Samprogna Mohor on behalf of the Authors (15 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (21 Mar 2021) by Daniela Molinari
RR by Anonymous Referee #2 (07 Apr 2021)
RR by Nivedita Sairam (12 Apr 2021)
ED: Publish as is (16 Apr 2021) by Daniela Molinari
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