dc.contributor.author
Trojand, Andreas
dc.contributor.author
Rust, Henning W.
dc.contributor.author
Ulbrich, Uwe
dc.date.accessioned
2025-08-20T13:40:14Z
dc.date.available
2025-08-20T13:40:14Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/48748
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-48471
dc.description.abstract
Severe winter storm events are one of central Europe's most damaging natural hazards and are therefore particularly in focus for disaster risk management. One key factor for risk is vulnerability. Risk assessments often assume vulnerability to be constant. This is, however, not always a justifiable assumption. This work seeks and quantifies a potential dynamic of vulnerability for residential buildings in Germany. A likely factor affecting the dynamics of vulnerability is the hazard itself (Aerts et al., 2018). As extreme events may destroy the most vulnerable elements, it is likely that the subsequent rebuilding or repair will reduce their vulnerability to following events (UNISDR, 2017). Therefore, the intensity of the previous events and the resulting damage can be assumed to be a decisive factor in changing vulnerability. A second important factor is the time period between the previous and current event. If the next event occurs during the reconstruction phase, vulnerability might be higher than when the reconstruction phase is completed (de Ruiter et al., 2020).
Here, we analyse the importance of previous storm events for the vulnerability of residential buildings. For this purpose, generalized additive models are implemented to estimate vulnerability as a function of the intensity of the previous event and the time interval between the events. The damage is extracted from a 23-year-long data set of the daily storm and hail losses for insured residential buildings in Germany on the administrative district level provided by the German Insurance Association, and the hazard component is described by the daily maximum wind load calculated from the ERA5 reanalysis. The results show a negative relationship between the previous event's intensity and the current event's damage. As the time since the previous event increases, a significant decrease in an event's associated damage is found. On a daily scale, the first 5 to 10 d are especially crucial for vulnerability reduction.
en
dc.format.extent
20 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Temporal dynamic vulnerability
en
dc.subject
storm events
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::551 Geologie, Hydrologie, Meteorologie
dc.title
Temporal dynamic vulnerability – impact of antecedent events on residential building losses to wind storm events in Germany
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.5194/nhess-25-2331-2025
dcterms.bibliographicCitation.issue
7
dcterms.bibliographicCitation.journaltitle
Natural Hazards and Earth System Sciences
dcterms.bibliographicCitation.originalpublishername
Copernicus Publications
dcterms.bibliographicCitation.pagestart
2331
dcterms.bibliographicCitation.pageend
2350
dcterms.bibliographicCitation.volume
2025/25
dcterms.bibliographicCitation.url
https://doi.org/10.5194/nhess-25-2331-2025
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie

refubium.funding
Copernicus Publications
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1684-9981