Improved Real‐Time Hail Damage Estimates Leveraging Dense Crowdsourced Observations

Improved Real‐Time Hail Damage Estimates Leveraging Dense Crowdsourced Observations

ABSTRACT Severe hail storms are a leading cause of building damages in Switzerland, yet accurately observing hail using weather radar remains challenging. Opportunely, Switzerland benefits from a uniquely dense network of crowdsourced hail reports, providing an additional data source. Since 2021, ov...

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Bibliographic Details
Main Authors: Timo Schmid, Valentin Gebhart, David N. Bresch
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Meteorological Applications
Subjects:
building damage
crowdsourced data
hail
natural hazards
risk modeling
severe storms
Online Access:https://doi.org/10.1002/met.70059
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https://doi.org/10.1002/met.70059

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