Articles | Volume 17, issue 8
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:
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
Delft University of Technology, Department of Water Management, Stevinweg 1, 2628 CN Delft, the Netherlands
German Research Centre for Geosciences, Section 5.4 Hydrology, Telegrafenberg, 14473 Potsdam, Germany
Annegret Thieken
University of Potsdam, Institute of Earth and Environmental Science, Karl-Liebknecht-Strasse 24–25, 14476 Potsdam-Golm, Germany
Marie-Claire ten Veldhuis
Delft University of Technology, Department of Water Management, Stevinweg 1, 2628 CN Delft, the Netherlands
Heidi Kreibich
German Research Centre for Geosciences, Section 5.4 Hydrology, Telegrafenberg, 14473 Potsdam, Germany
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37 citations as recorded by crossref.
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- Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. https://doi.org/10.1029/2018WR022858
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- The Role of Convective Self‐Aggregation in Extreme Instantaneous Versus Daily Precipitation J. Bao & S. Sherwood https://doi.org/10.1029/2018MS001503
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- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. https://doi.org/10.5194/nhess-19-551-2019
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- Ranking local climate policy: assessing the mitigation and adaptation activities of 104 German cities A. Otto et al. https://doi.org/10.1007/s10584-021-03142-9
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- Modeling the extent of surface water floods in rural areas: Lessons learned from the application of various uncalibrated models D. Bernet et al. https://doi.org/10.1016/j.envsoft.2018.08.005
- Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al. https://doi.org/10.1029/2018EF001074
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- Urban flood resilience assessment and driving effects exploration: A case study of the Beijing-Tianjin-Hebei urban agglomeration H. Yin et al. https://doi.org/10.1016/j.ijdrr.2025.105608
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. https://doi.org/10.4018/IJOCI.2020040102
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. https://doi.org/10.1007/s11069-020-04413-x
- Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. https://doi.org/10.5194/nhess-22-3701-2022
- Property-level adaptation to pluvial flooding: An analysis of individual behaviour and risk communication material L. Dillenardt et al. https://doi.org/10.1007/s11027-024-10148-y
- Providers of decentralized blue-green flood adaptation measures protect others, not themselves, even in flat urban terrain M. Roggero et al. https://doi.org/10.1016/j.ijdrr.2025.105721
- 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
37 citations as recorded by crossref.
- The role of insurers in flood risk management revisited from a sustainability perspective L. Stricker et al. https://doi.org/10.1111/rmir.70011
- Compound inland flood events: different pathways, different impacts and different coping options A. Thieken et al. https://doi.org/10.5194/nhess-22-165-2022
- Determination of building flood risk maps from LiDAR mobile mapping data Y. Feng et al. https://doi.org/10.1016/j.compenvurbsys.2022.101759
- A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. https://doi.org/10.1029/2019WR025943
- Analyzing Twitter communication about heavy precipitation events to improve future risk communication and disaster reduction in Germany L. Netzel et al. https://doi.org/10.1080/1573062X.2021.1878241
- Building Resilience After Climate-Related Extreme Events: Lessons Learned from Extreme Precipitation in Schwäbisch Gmünd B. Weißer et al. https://doi.org/10.1142/S2345737620500104
- Living with pluvial floods: coping and adaptation experiences of households in Atonsu, Ghana P. Kwarteng et al. https://doi.org/10.1080/1573062X.2025.2596746
- Flash floods versus river floods – a comparison of psychological impacts and implications for precautionary behaviour J. Laudan et al. https://doi.org/10.5194/nhess-20-999-2020
- Estimating exposure of residential assets to natural hazards in Europe using open data D. Paprotny et al. https://doi.org/10.5194/nhess-20-323-2020
- Adaptation strategies of flood-damaged businesses in Germany B. Wutzler et al. https://doi.org/10.3389/frwa.2022.932061
- Factors Explaining Municipal Climate Adaptation: Insights from Two Assessments of over 100 German Cities in 2018 and 2022 A. Otto et al. https://doi.org/10.3390/su17219826
- 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
- A GIS-Based Flooding Indicator for Heavy Rainfall Hazards Along the German Railway Network: Case Study Nordrhein-Westfalen F. von den Driesch & S. Szymczak https://doi.org/10.3390/w18131533
- Individual flood risk adaptation in Germany: exploring the role of different types of flooding L. Dillenardt & A. Thieken https://doi.org/10.5194/nhess-25-3257-2025
- Performance of the flood warning system in Germany in July 2021 – insights from affected residents A. Thieken et al. https://doi.org/10.5194/nhess-23-973-2023
- Understanding the Costs of Inaction–An Assessment of Pluvial Flood Damages in Two European Cities H. Nicklin et al. https://doi.org/10.3390/w11040801
- Mining rents, climate extremes, and water stress in China: An econometric assessment of emissions and water-related climate vulnerability Z. Chen et al. https://doi.org/10.1016/j.envres.2026.123873
- Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. https://doi.org/10.1029/2018WR022858
- Spatial distribution of socio-demographic and housing-based factors in relation to flash and slow-rise flooding hazards in the U.S O. Oke et al. https://doi.org/10.1088/1748-9326/acce4e
- The Role of Convective Self‐Aggregation in Extreme Instantaneous Versus Daily Precipitation J. Bao & S. Sherwood https://doi.org/10.1029/2018MS001503
- Unravelling the capacity–action gap in flood risk adaptation A. Schubert et al. https://doi.org/10.5194/nhess-25-1621-2025
- SPHERA, a new convection‐permitting regional reanalysis over Italy: Improving the description of heavy rainfall A. Giordani et al. https://doi.org/10.1002/qj.4428
- Urban flood resilience: Governing conflicting urbanism and climate action in Amsterdam S. Sharma https://doi.org/10.1080/09692290.2022.2100449
- Preface: Damage of natural hazards: assessment and mitigation H. Kreibich et al. https://doi.org/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. https://doi.org/10.1111/jfr3.12688
- Ranking local climate policy: assessing the mitigation and adaptation activities of 104 German cities A. Otto et al. https://doi.org/10.1007/s10584-021-03142-9
- Relationship Between Precipitation Extremes and Convective Organization Inferred From Satellite Observations A. Semie & S. Bony https://doi.org/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. https://doi.org/10.1016/j.envsoft.2018.08.005
- Probabilistic Models Significantly Reduce Uncertainty in Hurricane Harvey Pluvial Flood Loss Estimates V. Rözer et al. https://doi.org/10.1029/2018EF001074
- Spatiotemporal analysis of heavy rain-induced flood occurrences in Germany using a novel event database approach M. Kaiser et al. https://doi.org/10.1016/j.jhydrol.2021.125985
- Urban flood resilience assessment and driving effects exploration: A case study of the Beijing-Tianjin-Hebei urban agglomeration H. Yin et al. https://doi.org/10.1016/j.ijdrr.2025.105608
- Impact of an Integrated Approach in Disaster Management O. Njoku et al. https://doi.org/10.4018/IJOCI.2020040102
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. https://doi.org/10.1007/s11069-020-04413-x
- Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. https://doi.org/10.5194/nhess-22-3701-2022
- Property-level adaptation to pluvial flooding: An analysis of individual behaviour and risk communication material L. Dillenardt et al. https://doi.org/10.1007/s11027-024-10148-y
- Providers of decentralized blue-green flood adaptation measures protect others, not themselves, even in flat urban terrain M. Roggero et al. https://doi.org/10.1016/j.ijdrr.2025.105721
- 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
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