Towards operational impact forecasting of building damage from winter windstorms in Switzerland. (30th November 2021)

• Record Type: Journal Article
• Authors: Röösli, Thomas; Appenzeller, Christof; Bresch, David N.
• Is Part Of: Meteorological applications. Volume 28:Number 6(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-11-30
• Subjects: building damage -- impact forecast -- impact modelling -- impact‐based warning -- numerical weather prediction; Meteorology -- Periodicals; Meteorological services -- Periodicals; 551.5
• DOI: 10.1002/met.2035
• Languages: English
• ISSNs: 1350-4827

Abstract

Abstract: National meteorological and hydrological services issue warnings for severe weather events, typically based on stakeholder‐agreed fixed thresholds of meteorological parameters such as wind speeds or precipitation amounts. Yet societal decisions on preventive actions depend on the expected impacts of the weather event. In order to better inform such preventive actions, meteorological services are currently working towards including expected impacts into their warnings. We develop an open‐source impact forecasting system for building damage due to winter windstorms in Switzerland. It combines a numerical ensemble weather prediction model with exposure and vulnerability data. This system forecasts expected building damage in Swiss Francs with a 2‐day lead time on a 500‐m grid or aggregated to administrative regions. We compare the forecasted building damage with insurance claims in the canton of Zurich. The uncertainty of the impact forecasts is large. For the majority of days with severe winter windstorm damage, the mean forecasted damage was in the right order of magnitude, with one missed event and one false alarm. For thunderstorms and foehn storms, the rate of missed events and false alarms is much higher, most likely related to the limited meteorological forecast skill. Such impact forecasts can inform decision makers on preventive actions, such as allocating emergency response and other assets. Additionally, impact forecasts could also help communicating the severity of the upcoming event to the general public as well as indirectly help meteorological forecasters with taking warning decisions. Abstract : We develop an open‐source impact forecasting system to better inform societal decisions on preventive actions. It combines a numerical ensemble weather prediction model with exposure and vulnerability data. The figure shows mean forecasted building damage of the storm Burglind/Eleanor hitting Switzerland on 3 January 2018, at a lead time of 2 days