Articles | Volume 16, issue 5
https://doi.org/10.5194/nhess-16-1189-2016
© Author(s) 2016. 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-16-1189-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 May 2016
Research article |
| 25 May 2016
Damage functions for climate-related hazards: unification and uncertainty analysis
Boris F. Prahl
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Diego Rybski
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Markus Boettle
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Jürgen P. Kropp
Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Department of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
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Cited
30 citations as recorded by crossref.
- Seamless Estimation of Hydrometeorological Risk Across Spatial Scales T. Sieg et al. 10.1029/2018EF001122
- Business strategies to counter climate change risks to long lived production assets J. Tingey-Holyoak et al. 10.1016/j.jclepro.2024.142553
- 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
- A detailed review of power system resilience enhancement pillars D. Mishra et al. 10.1016/j.epsr.2024.110223
- 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
- Comparing Generic and Case Study Damage Functions: London Storm-Surge Example D. Rybski et al. 10.1061/(ASCE)NH.1527-6996.0000336
- Economic Impacts of Natural Hazards and Complexity Science: A Critical Review M. Coronese & D. Luzzati 10.2139/ssrn.4101276
- Tracing the propagation of disruptions in supply chain scenarios: A case study of photovoltaics diversification E. Gervais et al. 10.1016/j.resconrec.2024.107948
- Uncertainties in coastal flood risk assessments in small island developing states M. Parodi et al. 10.5194/nhess-20-2397-2020
- Depth‐damage curves for rail rapid transit infrastructure M. Martello et al. 10.1111/jfr3.12856
- A systematic review on power system resilience from the perspective of generation, network, and load C. Wang et al. 10.1016/j.rser.2022.112567
- Estimating coastal flood damage costs to transit infrastructure under future sea level rise M. Martello & A. Whittle 10.1038/s43247-023-00804-7
- Impuls-urbs: Integration of life cycle assessment into energy system models T. Addanki et al. 10.1016/j.rser.2024.114422
- Evidence for sharp increase in the economic damages of extreme natural disasters M. Coronese et al. 10.1073/pnas.1907826116
- Mapping and assessing drought losses in China: A process-based framework analysis T. Wang & F. Sun 10.1016/j.ijdrr.2024.104739
- Damage and protection cost curves for coastal floods within the 600 largest European cities B. Prahl et al. 10.1038/sdata.2018.34
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
- Measuring and Pricing Cyclone-Related Physical Risk Under Changing Climate T. Le Guenedal et al. 10.2139/ssrn.3850673
- The proposal of the Coast-RiskBySea: COASTal zones RISK assessment for Built environment bY extreme SEA level, based on the new Copernicus Coastal Zones data M. Clemente et al. 10.1016/j.ijdrr.2022.102947
- Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform C. Arrighi et al. 10.1016/j.jenvman.2017.11.017
- Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
- Recommendation system for climate informed urban design under model uncertainty I. Nevat et al. 10.1016/j.uclim.2019.100524
- 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
- A Jump-Diffusion Model for Climate Risk Assessment Y. Yuan & M. Wong 10.2139/ssrn.4386347
- Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification T. Sieg et al. 10.1371/journal.pone.0212932
- Costs of sea dikes – regressions and uncertainty estimates S. Lenk et al. 10.5194/nhess-17-765-2017
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Flood Risk Modeling under Uncertainties: The Case Study of Croatia T. Kekez et al. 10.3390/w14101585
- Hurricane Maria in the U.S. Caribbean: Disturbance Forces, Variation of Effects, and Implications for Future Storms A. Van Beusekom et al. 10.3390/rs10091386
- Quantifying the effect of sea level rise and flood defence – a point process perspective on coastal flood damage M. Boettle et al. 10.5194/nhess-16-559-2016
29 citations as recorded by crossref.
- Seamless Estimation of Hydrometeorological Risk Across Spatial Scales T. Sieg et al. 10.1029/2018EF001122
- Business strategies to counter climate change risks to long lived production assets J. Tingey-Holyoak et al. 10.1016/j.jclepro.2024.142553
- 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
- A detailed review of power system resilience enhancement pillars D. Mishra et al. 10.1016/j.epsr.2024.110223
- 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
- Comparing Generic and Case Study Damage Functions: London Storm-Surge Example D. Rybski et al. 10.1061/(ASCE)NH.1527-6996.0000336
- Economic Impacts of Natural Hazards and Complexity Science: A Critical Review M. Coronese & D. Luzzati 10.2139/ssrn.4101276
- Tracing the propagation of disruptions in supply chain scenarios: A case study of photovoltaics diversification E. Gervais et al. 10.1016/j.resconrec.2024.107948
- Uncertainties in coastal flood risk assessments in small island developing states M. Parodi et al. 10.5194/nhess-20-2397-2020
- Depth‐damage curves for rail rapid transit infrastructure M. Martello et al. 10.1111/jfr3.12856
- A systematic review on power system resilience from the perspective of generation, network, and load C. Wang et al. 10.1016/j.rser.2022.112567
- Estimating coastal flood damage costs to transit infrastructure under future sea level rise M. Martello & A. Whittle 10.1038/s43247-023-00804-7
- Impuls-urbs: Integration of life cycle assessment into energy system models T. Addanki et al. 10.1016/j.rser.2024.114422
- Evidence for sharp increase in the economic damages of extreme natural disasters M. Coronese et al. 10.1073/pnas.1907826116
- Mapping and assessing drought losses in China: A process-based framework analysis T. Wang & F. Sun 10.1016/j.ijdrr.2024.104739
- Damage and protection cost curves for coastal floods within the 600 largest European cities B. Prahl et al. 10.1038/sdata.2018.34
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
- Measuring and Pricing Cyclone-Related Physical Risk Under Changing Climate T. Le Guenedal et al. 10.2139/ssrn.3850673
- The proposal of the Coast-RiskBySea: COASTal zones RISK assessment for Built environment bY extreme SEA level, based on the new Copernicus Coastal Zones data M. Clemente et al. 10.1016/j.ijdrr.2022.102947
- Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform C. Arrighi et al. 10.1016/j.jenvman.2017.11.017
- Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
- Recommendation system for climate informed urban design under model uncertainty I. Nevat et al. 10.1016/j.uclim.2019.100524
- 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
- A Jump-Diffusion Model for Climate Risk Assessment Y. Yuan & M. Wong 10.2139/ssrn.4386347
- Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification T. Sieg et al. 10.1371/journal.pone.0212932
- Costs of sea dikes – regressions and uncertainty estimates S. Lenk et al. 10.5194/nhess-17-765-2017
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- Flood Risk Modeling under Uncertainties: The Case Study of Croatia T. Kekez et al. 10.3390/w14101585
- Hurricane Maria in the U.S. Caribbean: Disturbance Forces, Variation of Effects, and Implications for Future Storms A. Van Beusekom et al. 10.3390/rs10091386
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
Damage functions are an essential tool for vulnerability assessment and the quantification of disaster loss. They are often tailored to specific hazards and regions, which complicates knowledge transfer between different hazards and places. In our work, we unify approaches for climate-related hazards, e.g. for storms and coastal floods. A unified damage function is embedded in an uncertainty framework, where we identify the dominating sources of uncertainty on local and regional scales.
Damage functions are an essential tool for vulnerability assessment and the quantification of...
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