Articles | Volume 15, issue 2
https://doi.org/10.5194/nhess-15-261-2015
© 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-15-261-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Feb 2015
Research article |
| 05 Feb 2015
On the occurrence of rainstorm damage based on home insurance and weather data
M. H. Spekkers
CORRESPONDING AUTHOR
Delft University of Technology, Department of Water Management, Delft, the Netherlands
F. H. L. R. Clemens
Delft University of Technology, Department of Water Management, Delft, the Netherlands
J. A. E. ten Veldhuis
Delft University of Technology, Department of Water Management, Delft, the Netherlands
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Cited
28 citations as recorded by crossref.
- Modelling and mapping heavy metal and nitrogen concentrations in moss in 2010 throughout Europe by applying Random Forests models S. Nickel et al. https://doi.org/10.1016/j.atmosenv.2017.02.032
- Insurance risk assessment in the face of climate change: Integrating data science and statistics V. Lyubchich et al. https://doi.org/10.1002/wics.1462
- Hidden semi-Markov models for rainfall-related insurance claims Y. Shi et al. https://doi.org/10.1016/j.insmatheco.2024.11.008
- How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. https://doi.org/10.1080/02626667.2019.1595625
- Insurance ratemaking for climate-related claim counts using mixed Poisson spatio-temporal and temporal Besag regression models R. Gudmundarson et al. https://doi.org/10.1007/s13385-025-00443-6
- Can we weather proof our insurance? V. Lyubchich & Y. Gel https://doi.org/10.1002/env.2433
- A Semi Risk-Based Approach for Managing Urban Drainage Systems under Extreme Rainfall C. Salinas-Rodriguez et al. https://doi.org/10.3390/w10040384
- Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries S. Du et al. https://doi.org/10.1016/j.scs.2018.11.003
- A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. https://doi.org/10.1029/2019WR026213
- Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. https://doi.org/10.1016/j.ijdrr.2021.102407
- The 2021 extreme rainfall in Gävle, Sweden: impacts on municipal welfare services and actions towards more resilient premises and operations E. Glaas et al. https://doi.org/10.2166/nh.2024.107
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. https://doi.org/10.1088/1748-9326/ab127c
- Introducing a severe impacts approach to guide adaptation to pluvial floods in residential and public buildings M. Hjerpe et al. https://doi.org/10.1080/09613218.2025.2489573
- The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. https://doi.org/10.1016/j.jhydrol.2018.10.060
- Quantitative Impact Assessment of Sewer Condition on Health Risk M. Van Bijnen et al. https://doi.org/10.3390/w10030245
- Assessing the dependence between extreme rainfall and extreme insurance claims: A bivariate peak over threshold method Y. Shi https://doi.org/10.1111/risa.70033
- The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain) M. Cortès et al. https://doi.org/10.5194/nhess-18-857-2018
- Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations X. Tian et al. https://doi.org/10.1016/j.scitotenv.2019.06.355
- A comparative survey of the impacts of extreme rainfall in two international case studies M. Spekkers et al. https://doi.org/10.5194/nhess-17-1337-2017
- The socioeconomic impact of climate-related hazards: flash flood impact assessment in Kuala Lumpur, Malaysia T. Bhuiyan et al. https://doi.org/10.1007/s11069-021-04887-3
- Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. https://doi.org/10.5194/nhess-17-1659-2017
- Assessment of Building Damage Risk by Natural Disasters in South Korea Using Decision Tree Analysis K. Kim & S. Yoon https://doi.org/10.3390/su10041072
- Different types of flooding lead to different human and material damages: the case of the Lisbon Metropolitan Area M. Leal et al. https://doi.org/10.1007/s11069-017-3153-3
- Physical vulnerability assessment to flash floods using an indicator‐based methodology based on building properties and flow parameters M. Leal et al. https://doi.org/10.1111/jfr3.12712
- Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States A. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.130123
- Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. https://doi.org/10.1016/j.ijdrr.2020.101806
- Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal M. Leal et al. https://doi.org/10.1016/j.jenvman.2022.116079
- Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al. https://doi.org/10.3390/w14060994
28 citations as recorded by crossref.
- Modelling and mapping heavy metal and nitrogen concentrations in moss in 2010 throughout Europe by applying Random Forests models S. Nickel et al. https://doi.org/10.1016/j.atmosenv.2017.02.032
- Insurance risk assessment in the face of climate change: Integrating data science and statistics V. Lyubchich et al. https://doi.org/10.1002/wics.1462
- Hidden semi-Markov models for rainfall-related insurance claims Y. Shi et al. https://doi.org/10.1016/j.insmatheco.2024.11.008
- How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. https://doi.org/10.1080/02626667.2019.1595625
- Insurance ratemaking for climate-related claim counts using mixed Poisson spatio-temporal and temporal Besag regression models R. Gudmundarson et al. https://doi.org/10.1007/s13385-025-00443-6
- Can we weather proof our insurance? V. Lyubchich & Y. Gel https://doi.org/10.1002/env.2433
- A Semi Risk-Based Approach for Managing Urban Drainage Systems under Extreme Rainfall C. Salinas-Rodriguez et al. https://doi.org/10.3390/w10040384
- Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries S. Du et al. https://doi.org/10.1016/j.scs.2018.11.003
- A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. https://doi.org/10.1029/2019WR026213
- Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. https://doi.org/10.1016/j.ijdrr.2021.102407
- The 2021 extreme rainfall in Gävle, Sweden: impacts on municipal welfare services and actions towards more resilient premises and operations E. Glaas et al. https://doi.org/10.2166/nh.2024.107
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. https://doi.org/10.1088/1748-9326/ab127c
- Introducing a severe impacts approach to guide adaptation to pluvial floods in residential and public buildings M. Hjerpe et al. https://doi.org/10.1080/09613218.2025.2489573
- The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. https://doi.org/10.1016/j.jhydrol.2018.10.060
- Quantitative Impact Assessment of Sewer Condition on Health Risk M. Van Bijnen et al. https://doi.org/10.3390/w10030245
- Assessing the dependence between extreme rainfall and extreme insurance claims: A bivariate peak over threshold method Y. Shi https://doi.org/10.1111/risa.70033
- The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain) M. Cortès et al. https://doi.org/10.5194/nhess-18-857-2018
- Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations X. Tian et al. https://doi.org/10.1016/j.scitotenv.2019.06.355
- A comparative survey of the impacts of extreme rainfall in two international case studies M. Spekkers et al. https://doi.org/10.5194/nhess-17-1337-2017
- The socioeconomic impact of climate-related hazards: flash flood impact assessment in Kuala Lumpur, Malaysia T. Bhuiyan et al. https://doi.org/10.1007/s11069-021-04887-3
- Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. https://doi.org/10.5194/nhess-17-1659-2017
- Assessment of Building Damage Risk by Natural Disasters in South Korea Using Decision Tree Analysis K. Kim & S. Yoon https://doi.org/10.3390/su10041072
- Different types of flooding lead to different human and material damages: the case of the Lisbon Metropolitan Area M. Leal et al. https://doi.org/10.1007/s11069-017-3153-3
- Physical vulnerability assessment to flash floods using an indicator‐based methodology based on building properties and flow parameters M. Leal et al. https://doi.org/10.1111/jfr3.12712
- Exploring the relationship between flood insurance claims, crowdsourced rainfall, and tide levels for coastal urban communities: Case study for the mid-Atlantic United States A. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.130123
- Material damage caused by high-magnitude rainfall based on insurance data: Comparing two flooding events in the Lisbon Metropolitan Area and Madeira Island, Portugal M. Leal et al. https://doi.org/10.1016/j.ijdrr.2020.101806
- Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal M. Leal et al. https://doi.org/10.1016/j.jenvman.2022.116079
- Identification of Rainfall Thresholds Likely to Trigger Flood Damages across a Mediterranean Region, Based on Insurance Data and Rainfall Observations K. Papagiannaki et al. https://doi.org/10.3390/w14060994
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