281 citations as recorded by crossref.

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28. Flood detection using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage and extreme precipitation data J. Zhang et al. 10.5194/essd-15-521-2023
29. A Global Flood Risk Modeling Framework Built With Climate Models and Machine Learning D. Carozza & M. Boudreault 10.1029/2020MS002221
30. Satellite nighttime lights reveal increasing human exposure to floods worldwide S. Ceola et al. 10.1002/2014GL061859
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33. Upscaling urban data science for global climate solutions F. Creutzig et al. 10.1017/sus.2018.16
34. Enhancing local action planning through quantitative flood risk analysis: a case study in Spain J. Castillo-Rodríguez et al. 10.5194/nhess-16-1699-2016
35. Flooding Related Consequences of Climate Change on Canadian Cities and Flow Regulation Infrastructure A. Gaur et al. 10.3390/w11010063
36. Risks on global financial stability induced by climate change: the case of flood risks A. Mandel et al. 10.1007/s10584-021-03092-2
37. A Multi-Data Geospatial Approach for Understanding Flood Risk in the Coastal Plains of Tamil Nadu, India S. George et al. 10.3390/earth3010023
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47. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
48. Geomorphic flood hazard mapping: from floodplain delineation to flood hazard characterization A. Magnini et al. 10.1080/02626667.2023.2269909
49. Estimation of the effect of future changes in precipitation in Japan on pluvial flood damage and the damage reduction effect of mitigation/adaptation measures H. Yanagihara et al. 10.1371/journal.pclm.0000039
50. A methodology for flood susceptibility and vulnerability analysis in complex flood scenarios F. Dottori et al. 10.1111/jfr3.12234
51. A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China J. Yu et al. 10.1016/j.ejrh.2023.101434
52. Identification of flood‐prone areas with GeoFlood: Lessons learned from the Tiber River case study C. D'Angelo et al. 10.1111/jfr3.12795
53. Biases in national and continental flood risk assessments by ignoring spatial dependence V. Nguyen et al. 10.1038/s41598-020-76523-2
54. Estimates of present and future flood risk in the conterminous United States O. Wing et al. 10.1088/1748-9326/aaac65
55. Debates—Perspectives on socio‐hydrology: Capturing feedbacks between physical and social processes G. Di Baldassarre et al. 10.1002/2014WR016416
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57. Surface Water Extent Mapping in Denmark: Comparing Airborne Thermal Imagery and Satellite Earth Observation P. Bauer-Gottwein et al. 10.3390/w14223742
58. Optimisation of the two-dimensional hydraulic model LISFOOD-FP for CPU architecture J. Neal et al. 10.1016/j.envsoft.2018.05.011
59. Rising floodwaters: mapping impacts and perceptions of flooding in Indonesian Borneo J. Wells et al. 10.1088/1748-9326/11/6/064016
60. Improved building-specific flood risk assessment and implications of depth-damage function selection E. Gnan et al. 10.3389/frwa.2022.919726
61. Flood risk assessment of cultural heritage at large spatial scales: Framework and application to mainland Portugal R. Figueiredo et al. 10.1016/j.culher.2019.11.007
62. Adaptive risk management strategies for governments under future climate and socioeconomic change: An application to riverine flood risk at the global level S. Hochrainer-Stigler et al. 10.1016/j.envsci.2021.08.010
63. Mapping global non-floodplain wetlands C. Lane et al. 10.5194/essd-15-2927-2023
64. Urban flood vulnerability assessment in a densely urbanized city using multi-factor analysis and machine learning algorithms F. Parvin et al. 10.1007/s00704-022-04068-7
65. A Flood Risk Assessment Model for Companies and Criteria for Governmental Decision-Making to Minimize Hazards J. Ryu et al. 10.3390/su9112005
66. The Role of Global Data Sets for Riverine Flood Risk Management at National Scales M. Bernhofen et al. 10.1029/2021WR031555
67. Modelling the socio-economic impact of river floods in Europe L. Alfieri et al. 10.5194/nhess-16-1401-2016
68. Design with nature: Causation and avoidance of catastrophic flooding, Myanmar G. Brakenridge et al. 10.1016/j.earscirev.2016.12.009
69. Vulnerability assessment of drinking water supply under climate uncertainty using a river contamination risk (RANK) model F. Behzadi et al. 10.1016/j.envsoft.2021.105294
70. Flood risk assessments at different spatial scales H. de Moel et al. 10.1007/s11027-015-9654-z
71. Tree‐based flood damage modeling of companies: Damage processes and model performance T. Sieg et al. 10.1002/2017WR020784
72. A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam A. Couasnon et al. 10.1029/2021WR030002
73. Unpacking notions of residents' responsibility in flood risk governance K. Snel et al. 10.1002/eet.1985
74. Flood Risk Analysis and Assessment, Applications and Uncertainties: A Bibliometric Review A. Díez-Herrero & J. Garrote 10.3390/w12072050
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86. 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
87. The Effect of Reference Climatology on Global Flood Forecasting F. Hirpa et al. 10.1175/JHM-D-15-0044.1
88. Assessing the Economic Benefits of Flood Defenses: A Repeat‐Sales Approach A. Beltrán et al. 10.1111/risa.13136
89. An Effective Approach for Automatic River Features Extraction Using High-Resolution UAV Imagery M. La Salandra et al. 10.3390/drones7020070
90. Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2020.143559
91. A comparison of definitions of affordability for flood risk adaption measures: a case study of current and future risk-based flood insurance premiums in Europe P. Hudson 10.1007/s11027-017-9769-5
92. Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model S. Afshari et al. 10.1016/j.jhydrol.2017.11.036
93. Cost–benefit analysis of flood‐zoning policies: A review of current practice P. Hudson & W. Botzen 10.1002/wat2.1387
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97. A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas A. Couasnon et al. 10.3390/w10091190
98. Study on a Water-Level-Forecast Method Based on a Time Series Analysis of Urban River Basins—A Case Study of Shibuya River Basin in Tokyo N. Koyama et al. 10.3390/w15010161
99. Impact of compound flood event on coastal critical infrastructures considering current and future climate M. Khanam et al. 10.5194/nhess-21-587-2021
100. Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. 10.1007/s11430-014-5003-4
101. Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study J. Aerts et al. 10.5194/nhess-20-3245-2020
102. A New Automated Method for Improved Flood Defense Representation in Large‐Scale Hydraulic Models O. Wing et al. 10.1029/2019WR025957
103. Emergency risk management for landslide dam breaks in 2018 on the Yangtze River, China J. He et al. 10.1016/j.rcns.2022.10.003
104. Plant Physiological Responses to Rising CO2 Modify Simulated Daily Runoff Intensity With Implications for Global‐Scale Flood Risk Assessment G. Kooperman et al. 10.1029/2018GL079901
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106. A Faster and Economical Approach to Floodplain Mapping Using Soil Information N. Sangwan & V. Merwade 10.1111/1752-1688.12306
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108. Flood risk assessment of the European road network K. van Ginkel et al. 10.5194/nhess-21-1011-2021
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114. A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments Y. Zheng et al. 10.1029/2022WR033227
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