53 citations as recorded by crossref.

1. Analyzing explanatory factors of urban pluvial floods in Shanghai using geographically weighted regression C. Wang et al. 10.1007/s00477-016-1242-6
2. The undebated issue of justice: silent discourses in Dutch flood risk management M. Kaufmann et al. 10.1007/s10113-016-1086-0
3. Opportunities for multivariate analysis of open spatial datasets to characterize urban flooding risks S. Gaitan & J. ten Veldhuis 10.5194/piahs-370-9-2015
4. Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations X. Tian et al. 10.1016/j.scitotenv.2019.06.355
5. Proxy Data of Surface Water Floods in Rural Areas: Application to the Evaluation of the IRIP Intense Runoff Mapping Method Based on Satellite Remote Sensing and Rainfall Radar A. Cerbelaud et al. 10.3390/w14030393
6. Exploring the potential of multivariate depth‐damage and rainfall‐damage models L. Van Ootegem et al. 10.1111/jfr3.12284
7. Urban flood damage claim analyses for improved flood damage assessment S. Mobini et al. 10.1016/j.ijdrr.2022.103099
8. The use of insurance data in the analysis of Surface Water Flood events – A systematic review K. Gradeci et al. 10.1016/j.jhydrol.2018.10.060
9. Guidance on field survey programme design for basement flooding assessment A. Jiang et al. 10.1080/02626667.2020.1782412
10. Chronicle of a forecast flood: exposure and vulnerability on the south-east coast of Spain R. Giménez-García et al. 10.1007/s11069-022-05400-0
11. Evaluating Flood Risk Reduction by Urban Blue-Green Infrastructure Using Insurance Data J. Sörensen & T. Emilsson 10.1061/(ASCE)WR.1943-5452.0001037
12. Sensitivity of Australian roof drainage structures to design rainfall variability and climatic change L. Verstraten et al. 10.1016/j.buildenv.2019.106230
13. Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
14. Risk analysis of probable maximum precipitation estimates A. Singh 10.15406/ijh.2018.02.00105
15. Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain D. Bernet et al. 10.1088/1748-9326/ab127c
16. Commercial microwave links for urban drainage modelling: The effect of link characteristics and their position on runoff simulations J. Pastorek et al. 10.1016/j.jenvman.2019.109522
17. Statistical model for economic damage from pluvial floods in Japan using rainfall data and socioeconomic parameters R. Bhattarai et al. 10.5194/nhess-16-1063-2016
18. Solids dynamics in gully pots M. Rietveld et al. 10.1080/1573062X.2020.1823430
19. 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
20. A joint modelling framework for daily extremes of river discharge and precipitation in urban areas K. Breinl et al. 10.1111/jfr3.12150
21. Rainfall-driven machine learning models for accurate flood inundation mapping in Karachi, Pakistan U. Rasool et al. 10.1016/j.uclim.2023.101573
22. Pluvial, urban flood mechanisms and characteristics – Assessment based on insurance claims J. Sörensen & S. Mobini 10.1016/j.jhydrol.2017.09.039
23. 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. 10.1016/j.ijdrr.2020.101806
24. Development of Flood Damage Regression Models by Rainfall Identification Reflecting Landscape Features in Gangwon Province, the Republic of Korea H. Choi 10.3390/land10020123
25. Regional Rainfall Damage Functions to Estimate Direct Economic Losses in Rainstorms: A Case Study of the 2016 Extreme Rainfall Event in Hebei Province of China X. Chen et al. 10.1007/s13753-024-00577-3
26. Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica D. Collalti & E. Strobl 10.1007/s11069-021-05025-9
27. Natural hazard insurance outcomes at national, regional and local scales: A comparison between Sweden and Portugal M. Leal et al. 10.1016/j.jenvman.2022.116079
28. Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester F. Visser 10.1080/17445647.2014.893847
29. On the occurrence of rainstorm damage based on home insurance and weather data M. Spekkers et al. 10.5194/nhess-15-261-2015
30. GIS-Based Social Cost–Benefit Analysis on Integrated Urban Water Management in China: A Case Study of Sponge City in Harbin X. Fan & T. Matsumoto 10.3390/su11195527
31. Decision-tree analysis of factors influencing rainfall-related building structure and content damage M. Spekkers et al. 10.5194/nhess-14-2531-2014
32. Impact‐Based Forecasting for Pluvial Floods V. Rözer et al. 10.1029/2020EF001851
33. Community-Level Flood Mitigation Effects on Household-Level Flood Insurance and Damage Claims Payments E. Frimpong 10.2139/ssrn.2940429
34. Changes in flood damage with global warming on the eastern coast of Spain M. Cortès et al. 10.5194/nhess-19-2855-2019
35. Contribution of historical precipitation change to US flood damages F. Davenport et al. 10.1073/pnas.2017524118
36. Multivariate pluvial flood damage models L. Van Ootegem et al. 10.1016/j.eiar.2015.05.005
37. Are flood damage models converging to “reality”? Lessons learnt from a blind test D. Molinari et al. 10.5194/nhess-20-2997-2020
38. Risk communication nudges and flood insurance demand P. Robinson et al. 10.1016/j.crm.2021.100366
39. Insurance risk assessment in the face of climate change: Integrating data science and statistics V. Lyubchich et al. 10.1002/wics.1462
40. The relationship between precipitation and insurance data for floods in a Mediterranean region (northeast Spain) M. Cortès et al. 10.5194/nhess-18-857-2018
41. Driving Factors and Risk Assessment of Rainstorm Waterlogging in Urban Agglomeration Areas: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area, China F. Liu et al. 10.3390/w13060770
42. Analysis of pluvial flood damage costs in residential buildings – A case study in Malmö S. Mobini et al. 10.1016/j.ijdrr.2021.102407
43. Mapping cumulative compound hydrometeorological and marine-induced risks on the NW Mediterranean coast R. Romero-Martín et al. 10.1038/s41598-024-53899-z
44. The impact of intense rainfall on insurance losses in two Swedish cities B. Blumenthal & L. Nyberg 10.1111/jfr3.12504
45. Can urban pluvial flooding be predicted by open spatial data and weather data? S. Gaitan et al. 10.1016/j.envsoft.2016.08.007
46. 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. 10.1016/j.jhydrol.2023.130123
47. Emerging citizen contributions, roles and interactions with public authorities in Dutch pluvial flood risk management S. Forrest et al. 10.1080/07900627.2019.1701999
48. Connecting flash flood events with radar-derived convective storm characteristics on the northwestern Mediterranean coast: knowing the present for better future scenarios adaptation A. del Moral et al. 10.1016/j.atmosres.2020.104863
49. Different types of flooding lead to different human and material damages: the case of the Lisbon Metropolitan Area M. Leal et al. 10.1007/s11069-017-3153-3
50. How much does an extreme rainfall event cost? Material damage and relationships between insurance, rainfall, land cover and urban flooding M. Leal et al. 10.1080/02626667.2019.1595625
51. Variation in physical characteristics of rainfall in Iran, determined using daily rainfall concentration index and monthly rainfall percentage index S. Kaboli et al. 10.1007/s00704-021-03553-9
52. Multivariate pluvial flood damage models L. Van Ootegem et al. 10.1016/j.eiar.2015.05.005
53. The robustness of flood insurance regimes given changing risk resulting from climate change J. Lamond & E. Penning-Rowsell 10.1016/j.crm.2014.03.001