Articles | Volume 17, issue 8
Nat. Hazards Earth Syst. Sci., 17, 1337–1355, 2017
https://doi.org/10.5194/nhess-17-1337-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Damage of natural hazards: assessment and mitigation
Nat. Hazards Earth Syst. Sci., 17, 1337–1355, 2017
https://doi.org/10.5194/nhess-17-1337-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 09 Aug 2017
Research article | 09 Aug 2017
A comparative survey of the impacts of extreme rainfall in two international case studies
Matthieu Spekkers et al.
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Cited
18 citations as recorded by crossref.
- Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. 10.1029/2018WR022858
- The Role of Convective Self‐Aggregation in Extreme Instantaneous Versus Daily Precipitation J. Bao & S. Sherwood 10.1029/2018MS001503
- A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. 10.1029/2019WR025943
- Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany L. Netzel et al. 10.1080/1573062X.2021.1878241
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany L. Netzel et al. 10.1111/jfr3.12688
- Building Resilience After Climate-Related Extreme Events: Lessons Learned from Extreme Precipitation in Schwäbisch Gmünd B. Weißer et al. 10.1142/S2345737620500104
- Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. 10.5194/nhess-20-999-2020
- Relationship Between Precipitation Extremes and Convective Organization Inferred From Satellite Observations A. Semie & S. Bony 10.1029/2019GL086927
- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
- Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al. 10.1029/2018EF001074
- Estimating exposure of residential assets to natural hazards in Europe using open data D. Paprotny et al. 10.5194/nhess-20-323-2020
- Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach M. Kaiser et al. 10.1016/j.jhydrol.2021.125985
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. 10.1088/1748-9326/ab127c
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
- Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. 10.5194/nhess-17-1659-2017
- Understanding the Costs of Inaction–An Assessment of Pluvial Flood Damages in Two European Cities . Nicklin et al. 10.3390/w11040801
18 citations as recorded by crossref.
- Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. 10.1029/2018WR022858
- The Role of Convective Self‐Aggregation in Extreme Instantaneous Versus Daily Precipitation J. Bao & S. Sherwood 10.1029/2018MS001503
- A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. 10.1029/2019WR025943
- Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany L. Netzel et al. 10.1080/1573062X.2021.1878241
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. 10.5194/nhess-19-551-2019
- The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany L. Netzel et al. 10.1111/jfr3.12688
- Building Resilience After Climate-Related Extreme Events: Lessons Learned from Extreme Precipitation in Schwäbisch Gmünd B. Weißer et al. 10.1142/S2345737620500104
- Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. 10.5194/nhess-20-999-2020
- Relationship Between Precipitation Extremes and Convective Organization Inferred From Satellite Observations A. Semie & S. Bony 10.1029/2019GL086927
- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. 10.1016/j.envsoft.2018.08.005
- Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al. 10.1029/2018EF001074
- Estimating exposure of residential assets to natural hazards in Europe using open data D. Paprotny et al. 10.5194/nhess-20-323-2020
- Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach M. Kaiser et al. 10.1016/j.jhydrol.2021.125985
- Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. 10.1088/1748-9326/ab127c
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. 10.4018/IJOCI.2020040102
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
- Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time D. Bernet et al. 10.5194/nhess-17-1659-2017
- Understanding the Costs of Inaction–An Assessment of Pluvial Flood Damages in Two European Cities . Nicklin et al. 10.3390/w11040801
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