Articles | Volume 24, issue 3
https://doi.org/10.5194/nhess-24-847-2024
https://doi.org/10.5194/nhess-24-847-2024
Research article
 | 
11 Mar 2024
Research article |  | 11 Mar 2024

An open-source radar-based hail damage model for buildings and cars

Timo Schmid, Raphael Portmann, Leonie Villiger, Katharina Schröer, and David N. Bresch

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-158', Anonymous Referee #1, 17 Oct 2023
    • AC1: 'Reply on RC1', Timo Schmid, 07 Dec 2023
  • RC2: 'Comment on nhess-2023-158', Anonymous Referee #2, 23 Oct 2023
    • AC2: 'Reply on RC2', Timo Schmid, 07 Dec 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (07 Dec 2023) by Ricardo Trigo
AR by Timo Schmid on behalf of the Authors (11 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Dec 2023) by Ricardo Trigo
RR by Anonymous Referee #2 (13 Dec 2023)
RR by Anonymous Referee #1 (10 Jan 2024)
ED: Publish as is (19 Jan 2024) by Ricardo Trigo
AR by Timo Schmid on behalf of the Authors (25 Jan 2024)
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Short summary
Hailstorms cause severe damage to buildings and cars, which motivates a detailed risk assessment. Here, we present a new open-source hail damage model based on radar data in Switzerland. The model successfully estimates the correct order of magnitude of car and building damages for most large hail events over 20 years. However, large uncertainty remains in the geographical distribution of modelled damages, which can be improved for individual events by using crowdsourced hail reports.
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