Articles | Volume 15, issue 4
https://doi.org/10.5194/nhess-15-769-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-769-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Apr 2015
Research article |
| 09 Apr 2015
Comparison of storm damage functions and their performance
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
D. Rybski
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
O. Burghoff
German Insurance Association (GDV), Berlin, Germany
J. P. Kropp
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Department of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
Viewed
Total article views: 4,283 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2014)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,000 | 2,133 | 150 | 4,283 | 494 | 143 | 128 |
- HTML: 2,000
- PDF: 2,133
- XML: 150
- Total: 4,283
- Supplement: 494
- BibTeX: 143
- EndNote: 128
Total article views: 3,527 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Apr 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,577 | 1,824 | 126 | 3,527 | 283 | 120 | 111 |
- HTML: 1,577
- PDF: 1,824
- XML: 126
- Total: 3,527
- Supplement: 283
- BibTeX: 120
- EndNote: 111
Total article views: 756 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 423 | 309 | 24 | 756 | 23 | 17 |
- HTML: 423
- PDF: 309
- XML: 24
- Total: 756
- BibTeX: 23
- EndNote: 17
Cited
31 citations as recorded by crossref.
- Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland C. Welker et al. 10.5194/nhess-21-279-2021
- Cyclones, windstorms and the IMILAST project T. Hewson & U. Neu 10.3402/tellusa.v67.27128
- Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
- The impact of hurricanes on a property portfolio: an empirical study based on loss data in Portugal A. Hauser et al. 10.1108/MF-03-2023-0163
- Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) compatible with Coupled Model Intercomparison Project (CMIP) climate data T. Le Guenedal et al. 10.5194/gmd-15-8001-2022
- Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. 10.1029/2020RG000704
- Climate change and windstorm losses in Poland in the twenty-first century J. Gaska 10.1080/17477891.2022.2076646
- A Disaster Management Plan Study Using the Disaster Yearbook and a Comprehensive Plan for Storm and Flood Damage Reduction: A Focus on Gyeongsangnum-do Y. Song et al. 10.9798/KOSHAM.2018.18.5.265
- Correlation of powers of Hüsler–Reiss vectors and Brown–Resnick fields, and application to insured wind losses E. Koch 10.1007/s10687-023-00474-w
- Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al. 10.3390/w14060994
- Windstorm losses in Europe – What to gain from damage datasets J. Moemken et al. 10.1016/j.wace.2024.100661
- Developments in large-scale coastal flood hazard mapping M. Vousdoukas et al. 10.5194/nhess-16-1841-2016
- Spatial risk measures for max-stable and max-mixture processes M. Ahmed et al. 10.1080/17442508.2019.1687703
- Wind Gust Measurement Techniques—From Traditional Anemometry to New Possibilities I. Suomi & T. Vihma 10.3390/s18041300
- Towards operational impact forecasting of building damage from winter windstorms in Switzerland T. Röösli et al. 10.1002/met.2035
- Comment on ‘High-income does not protect against hurricane losses’ D. Rybski et al. 10.1088/1748-9326/aa88d8
- Forecasting wind gusts in winter storms using a calibrated convection‐permitting ensemble F. Pantillon et al. 10.1002/qj.3380
- A Study on Estimation Equation for Damage and Recovery Costs Considering Human Losses Focused on Natural Disasters in the Republic of Korea Y. Song & M. Park 10.3390/su10093103
- Projections of windstorms damages under changing climate and demography for Norway A. Jaison et al. 10.1088/2752-5295/ad6a2f
- The 21st century decline in damaging European windstorms L. Dawkins et al. 10.5194/nhess-16-1999-2016
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack 10.5194/nhess-23-2841-2023
- Northern Ireland's longstanding record wind gust is almost certainly incorrect L. Aylott et al. 10.1002/wea.3613
- Damage functions for climate-related hazards: unification and uncertainty analysis B. Prahl et al. 10.5194/nhess-16-1189-2016
- Insurance loss model vs. meteorological loss index – how comparable are their loss estimates for European windstorms? J. Moemken et al. 10.5194/nhess-24-3445-2024
- Seamless Estimation of Hydrometeorological Risk Across Spatial Scales T. Sieg et al. 10.1029/2018EF001122
- Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set J. Lockwood et al. 10.5194/nhess-22-3585-2022
- Electricity sector resilience in response to extreme weather and climate-related events: Tools and datasets H. Ashrafi & T. Parhizkar 10.1016/j.tej.2023.107290
- Recommendation system for climate informed urban design under model uncertainty I. Nevat et al. 10.1016/j.uclim.2019.100524
- The UK’s highest low‐level wind speed re‐examined: the Fraserburgh gust of 13 February 1989 S. Burt 10.1002/wea.3864
- Stochastic derivative estimation for max-stable random fields E. Koch & C. Robert 10.1016/j.ejor.2021.12.026
- Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. 10.5194/nhess-24-1341-2024
31 citations as recorded by crossref.
- Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland C. Welker et al. 10.5194/nhess-21-279-2021
- Cyclones, windstorms and the IMILAST project T. Hewson & U. Neu 10.3402/tellusa.v67.27128
- Review article: A European perspective on wind and storm damage – from the meteorological background to index-based approaches to assess impacts D. Gliksman et al. 10.5194/nhess-23-2171-2023
- The impact of hurricanes on a property portfolio: an empirical study based on loss data in Portugal A. Hauser et al. 10.1108/MF-03-2023-0163
- Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) compatible with Coupled Model Intercomparison Project (CMIP) climate data T. Le Guenedal et al. 10.5194/gmd-15-8001-2022
- Impact Forecasting to Support Emergency Management of Natural Hazards B. Merz et al. 10.1029/2020RG000704
- Climate change and windstorm losses in Poland in the twenty-first century J. Gaska 10.1080/17477891.2022.2076646
- A Disaster Management Plan Study Using the Disaster Yearbook and a Comprehensive Plan for Storm and Flood Damage Reduction: A Focus on Gyeongsangnum-do Y. Song et al. 10.9798/KOSHAM.2018.18.5.265
- Correlation of powers of Hüsler–Reiss vectors and Brown–Resnick fields, and application to insured wind losses E. Koch 10.1007/s10687-023-00474-w
- Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al. 10.3390/w14060994
- Windstorm losses in Europe – What to gain from damage datasets J. Moemken et al. 10.1016/j.wace.2024.100661
- Developments in large-scale coastal flood hazard mapping M. Vousdoukas et al. 10.5194/nhess-16-1841-2016
- Spatial risk measures for max-stable and max-mixture processes M. Ahmed et al. 10.1080/17442508.2019.1687703
- Wind Gust Measurement Techniques—From Traditional Anemometry to New Possibilities I. Suomi & T. Vihma 10.3390/s18041300
- Towards operational impact forecasting of building damage from winter windstorms in Switzerland T. Röösli et al. 10.1002/met.2035
- Comment on ‘High-income does not protect against hurricane losses’ D. Rybski et al. 10.1088/1748-9326/aa88d8
- Forecasting wind gusts in winter storms using a calibrated convection‐permitting ensemble F. Pantillon et al. 10.1002/qj.3380
- A Study on Estimation Equation for Damage and Recovery Costs Considering Human Losses Focused on Natural Disasters in the Republic of Korea Y. Song & M. Park 10.3390/su10093103
- Projections of windstorms damages under changing climate and demography for Norway A. Jaison et al. 10.1088/2752-5295/ad6a2f
- The 21st century decline in damaging European windstorms L. Dawkins et al. 10.5194/nhess-16-1999-2016
- A long record of European windstorm losses and its comparison to standard climate indices S. Cusack 10.5194/nhess-23-2841-2023
- Northern Ireland's longstanding record wind gust is almost certainly incorrect L. Aylott et al. 10.1002/wea.3613
- Damage functions for climate-related hazards: unification and uncertainty analysis B. Prahl et al. 10.5194/nhess-16-1189-2016
- Insurance loss model vs. meteorological loss index – how comparable are their loss estimates for European windstorms? J. Moemken et al. 10.5194/nhess-24-3445-2024
- Seamless Estimation of Hydrometeorological Risk Across Spatial Scales T. Sieg et al. 10.1029/2018EF001122
- Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set J. Lockwood et al. 10.5194/nhess-22-3585-2022
- Electricity sector resilience in response to extreme weather and climate-related events: Tools and datasets H. Ashrafi & T. Parhizkar 10.1016/j.tej.2023.107290
- Recommendation system for climate informed urban design under model uncertainty I. Nevat et al. 10.1016/j.uclim.2019.100524
- The UK’s highest low‐level wind speed re‐examined: the Fraserburgh gust of 13 February 1989 S. Burt 10.1002/wea.3864
- Stochastic derivative estimation for max-stable random fields E. Koch & C. Robert 10.1016/j.ejor.2021.12.026
- Assessment of wind–damage relations for Norway using 36 years of daily insurance data A. Jaison et al. 10.5194/nhess-24-1341-2024
Saved (final revised paper)
Saved (final revised paper)
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
Winter storms are the most costly natural hazard for European residential property. Their costs can be assessed via damage functions relating storm intensity to loss. However, the heavy-tailed loss distribution and the high uncertainty pose difficulties for their application. We address these difficulties by comparing four empirical damage functions and providing model recommendations. In a broader context, we discuss the shape of the damage functions in the light of theoretical considerations.
Winter storms are the most costly natural hazard for European residential property. Their costs...
Altmetrics
Final-revised paper
Preprint