Articles | Volume 18, issue 6
https://doi.org/10.5194/nhess-18-1617-2018
https://doi.org/10.5194/nhess-18-1617-2018
Research article
 | 
13 Jun 2018
Research article |  | 13 Jun 2018

A statistical model to estimate the local vulnerability to severe weather

Tobias Pardowitz

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (27 Apr 2018) by Vassiliki Kotroni
AR by Svenja Lange on behalf of the Authors (27 Apr 2018)  Author's response
ED: Referee Nomination & Report Request started (27 Apr 2018) by Vassiliki Kotroni
RR by Anonymous Referee #1 (03 May 2018)
ED: Publish subject to technical corrections (03 May 2018) by Vassiliki Kotroni
Download
Short summary
The paper presents a statistical analysis of socioeconomic factors influencing vulnerability and exposure to severe weather. By means of statistical modelling, the risks of weather impacts can be predicted at very high spatial resolutions. Such models can serve as a basis for a broad range of tools or applications in emergency management and planning and thus might help to enhance resilience to severe weather.
Altmetrics
Final-revised paper
Preprint