82 citations as recorded by crossref.

1. The influence of synthetic hyetograph parameters on simulation results of runoff from urban catchment K. Mazurkiewicz et al. https://doi.org/10.1051/e3sconf/20183001018
2. Design hydrograph estimation in small and ungauged watersheds: continuous simulation method versus event‐based approach S. Grimaldi et al. https://doi.org/10.1002/hyp.8384
3. Sensitivity analysis of SCHADEX extreme flood estimations to observed hydrometeorological variability P. Brigode et al. https://doi.org/10.1002/2013WR013687
4. On the role of the runoff coefficient in the mapping of rainfall to flood return periods A. Viglione et al. https://doi.org/10.5194/hess-13-577-2009
5. Comparison of Regionalisation Techniques for Peak Streamflow Estimation in Small Catchments in the Pilbara, Australia A. Flatley & I. Rutherfurd https://doi.org/10.3390/hydrology9100165
6. Decentralised water retention along the river channels in a mesoscale catchment in south-eastern Germany C. Reinhardt et al. https://doi.org/10.1016/j.pce.2011.01.012
7. The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada H. Yan et al. https://doi.org/10.1029/2023WR034496
8. A combined methodology for the hydraulic rehabilitation of urban drainage networks R. Gaudio et al. https://doi.org/10.1080/1573062X.2015.1012839
9. Effectiveness of Retention Ponds for Sustainable Urban Flood Mitigation across Range of Storm Depths in Northern Tehran, Iran E. Ahmadisharaf et al. https://doi.org/10.1061/JSWBAY.0000946
10. Monte Carlo simulation for design flood estimation: a review of Australian practice M. Loveridge & A. Rahman https://doi.org/10.1080/13241583.2018.1453979
11. Precipitation disaster hotspots depend on historical climate variability I. de Vries et al. https://doi.org/10.1038/s41467-025-66601-2
12. Fully Stochastic Distributed Methodology for Multivariate Flood Frequency Analysis I. Flores-Montoya et al. https://doi.org/10.3390/w8060225
13. Application of Monte Carlo simulation technique for flood estimation for two catchments in New South Wales, Australia W. Caballero & A. Rahman https://doi.org/10.1007/s11069-014-1251-z
14. Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2022.127866
15. Empirical models of rain-spells characteristics – A case study of a Mediterranean-arid climatic transect Y. Aviad et al. https://doi.org/10.1016/j.jaridenv.2013.05.015
16. Reliability assessment of water structures subject to data scarcity using the SCS-CN model A. Awadallah et al. https://doi.org/10.1080/02626667.2015.1027709
17. Assessing the Spatial and Temporal Patterns of Seasonal Precipitation Extremes and the Potential Influencing Factors in Dongting Lake Basin, China X. Zhang & M. Liu https://doi.org/10.3390/w8120558
18. Relationship of Rainfall and Flood Return Periods through Hydrologic and Hydraulic Modeling H. Vangelis et al. https://doi.org/10.3390/w14223618
19. Summer monsoon precipitation patterns and their relationship to flood probabilities across Pakistan M. Ullah et al. https://doi.org/10.1016/j.ejrh.2026.103485
20. Estimating the frequency of extreme rainfall using weather radar and stochastic storm transposition D. Wright et al. https://doi.org/10.1016/j.jhydrol.2013.03.003
21. Floods and climate: emerging perspectives for flood risk assessment and management B. Merz et al. https://doi.org/10.5194/nhess-14-1921-2014
22. Analysis of maximum flood records in the arid environment of Saudi Arabia H. Ewea et al. https://doi.org/10.1080/19475705.2020.1810783
23. Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2020.125664
24. Impacts of global climate change on floods in Pakistan with current trends challenges and future perspectives W. Khoso et al. https://doi.org/10.1007/s44274-025-00403-7
25. Influence of initial reservoir level and gate failure in dam safety analysis. Stochastic approach I. Gabriel-Martin et al. https://doi.org/10.1016/j.jhydrol.2017.05.032
26. A determination of the synthetic hyetograph parameters for flow capacity assessment concerning stormwater systems K. Mazurkiewicz et al. https://doi.org/10.1051/e3sconf/20184500053
27. Werden die Hochwasser größer? Ursachen, Trends und Handlungsoptionen G. Blöschl https://doi.org/10.1007/s00506-025-01165-5
28. Downsizing parameter ensembles for simulations of rare floods A. Sikorska-Senoner et al. https://doi.org/10.5194/nhess-20-3521-2020
29. Flood inundation mapping in small and ungauged basins: sensitivity analysis using the EBA4SUB and HEC-RAS modeling approach M. Vojtek et al. https://doi.org/10.2166/nh.2019.163
30. Flood design recipes vs. reality: can predictions for ungauged basins be trusted? A. Efstratiadis et al. https://doi.org/10.5194/nhess-14-1417-2014
31. Envelope curves for the specific discharge of extreme floods in Malaysia J. Abdullah et al. https://doi.org/10.1016/j.jher.2019.05.002
32. Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach I. Gabriel-Martin et al. https://doi.org/10.3390/w11091896
33. Development and evaluation of the modified and standardized rainfall anomaly indices for extreme variability analysis K. Ekpetere https://doi.org/10.1016/j.jenvman.2025.124160
34. Stochastic Hybrid Event Based and Continuous Approach to Derive Flood Frequency Curve A. Sordo-Ward et al. https://doi.org/10.3390/w13141931
35. Comparative analysis of flood and rainfall frequency in the ungauged sub-watersheds of Kakia and Esamburumbur in Narok town, Kenya, using the EBA4SUB rainfall-runoff model E. Houessou-Dossou et al. https://doi.org/10.4081/jae.2022.1307
36. Application of Monte Carlo Simulation Technique to Design Flood Estimation: A Case Study for North Johnstone River in Queensland, Australia J. Charalambous et al. https://doi.org/10.1007/s11269-013-0398-9
37. Process-based design flood estimation in ungauged basins by conditioning model parameters on regional hydrological signatures D. Biondi & D. De Luca https://doi.org/10.1007/s11069-015-1889-1
38. The influence of non-stationarity in extreme hydrological events on flood frequency estimation M. Šraj et al. https://doi.org/10.1515/johh-2016-0032
39. Estimate rainfall return period based on maximum pipe flow: A new framework to address mutual relationship Y. Liu et al. https://doi.org/10.1016/j.jclepro.2024.142599
40. Flood frequency analysis using mean daily flows vs. instantaneous peak flows A. Bartens et al. https://doi.org/10.5194/hess-28-1687-2024
41. A watershed-scale multi-approach assessment of design flood discharge estimates used in hydrologic risk analyses for forest road stream crossings and culverts S. Mukherjee et al. https://doi.org/10.1016/j.jhydrol.2024.130698
42. Understanding the relationship between rainfall and flood probabilities through combined intensity-duration-frequency analysis K. Breinl et al. https://doi.org/10.1016/j.jhydrol.2021.126759
43. A look at the links between drainage density and flood statistics B. Pallard et al. https://doi.org/10.5194/hess-13-1019-2009
44. Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia B. Gossweiler et al. https://doi.org/10.3390/w13040410
45. Three hypotheses on changing river flood hazards G. Blöschl https://doi.org/10.5194/hess-26-5015-2022
46. Importance of Reconstructed Daily Peak Flows for Enhanced Flood Frequency Analysis: An Application in the Contiguous United States Y. Bandara & G. Mascaro https://doi.org/10.1061/JHYEFF.HEENG-6486
47. Attribution of regional flood changes based on scaling fingerprints A. Viglione et al. https://doi.org/10.1002/2016WR019036
48. Assessing the copula selection for bivariate frequency analysis based on the tail dependence test D. Nguyen & K. Jayakumar https://doi.org/10.1007/s12040-018-0994-4
49. An event simulation approach to the assessment of flood level frequencies: risk maps for the Warsaw reach of the River Vistula R. Romanowicz & A. Kiczko https://doi.org/10.1002/hyp.10857
50. Revisiting Flood Hazard Assessment Practices under a Hybrid Stochastic Simulation Framework A. Efstratiadis et al. https://doi.org/10.3390/w14030457
51. Non-Monotonic Relationships between Return Periods of Precipitation Surface Hazard Intensity B. van den Bout et al. https://doi.org/10.3390/w14091348
52. Unraveling the Interactions between Flooding Dynamics and Agricultural Productivity in a Changing Climate T. Rupngam & A. Messiga https://doi.org/10.3390/su16146141
53. Flood mapping in ungauged basins using fully continuous hydrologic–hydraulic modeling S. Grimaldi et al. https://doi.org/10.1016/j.jhydrol.2013.02.023
54. The Impact of Rainfall Space‐Time Structure in Flood Frequency Analysis Z. Zhu et al. https://doi.org/10.1029/2018WR023550
55. Extreme flood abatement in large dams with fixed-crest spillways A. Sordo-Ward et al. https://doi.org/10.1016/j.jhydrol.2012.08.009
56. Assessment of the Impact of Climate Change on Dam Hydrological Safety by Using a Stochastic Rainfall Generator E. Soriano et al. https://doi.org/10.3390/hydrology12060153
57. Climate and hydrological variability: the catchment filtering role I. Andrés-Doménech et al. https://doi.org/10.5194/hess-19-379-2015
58. Stochastic framework reveals the controls of forest treatment – peakflow causal relations in rain environment H. Pham et al. https://doi.org/10.1016/j.jhydrol.2025.133704
59. Using the present to estimate the future: A simplified approach for the quantification of climate change effects on urban flooding by scenario analysis R. Padulano et al. https://doi.org/10.1002/hyp.14436
60. Runoff from an extensive green roof during extreme events: Insights from 15 years of observations K. Paus & B. Braskerud https://doi.org/10.1002/hyp.15220
61. How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large‐Sample Study for 671 Catchments Across the Contiguous USA L. Stein et al. https://doi.org/10.1029/2020WR028300
62. The application of Mike Urban model in drainage and waterlogging in Lincheng county, China Q. Luan et al. https://doi.org/10.5194/piahs-379-381-2018
63. Excess River Sedimentation at Bridges in the Raya Graben (Northern Ethiopia) B. Demissie et al. https://doi.org/10.1002/ldr.2572
64. The extreme runoff index for flood early warning in Europe L. Alfieri et al. https://doi.org/10.5194/nhess-14-1505-2014
65. A continuous modelling approach for design flood estimation on sub-daily time scale B. Winter et al. https://doi.org/10.1080/02626667.2019.1593419
66. Integrating rainfall return periods in MCDA-based flood risk mapping: a fuzzy-AHP case study in an ungauged watershed M. Syarifuddin et al. https://doi.org/10.1007/s00477-026-03211-4
67. How do the rain rates of sub‐event intervals such as the maximum 5‐ and 15‐min rates (I5orI30) relate to the properties of the enclosing rainfall event? D. Dunkerley https://doi.org/10.1002/hyp.7650
68. Process-based flood frequency analysis in an agricultural watershed exhibiting nonstationary flood seasonality G. Yu et al. https://doi.org/10.5194/hess-23-2225-2019
69. Quantifying the relative impact of hydrological and hydraulic modelling parameterizations on uncertainty of inundation maps A. Annis et al. https://doi.org/10.1080/02626667.2019.1709640
70. Integrated GIS-hydrologic-hydraulic modeling to assess combined flood drivers in coastal regions: a case study of Bonita Bay, Florida S. Tsegaye et al. https://doi.org/10.3389/frwa.2024.1468354
71. Changing of return periods of extreme rainfall using satellite observation in Java Island . Giarno et al. https://doi.org/10.1051/e3sconf/202346411005
72. Probabilistic nature of storage delay parameter of the hydrologic model RORB: a case study for the Cooper's Creek catchment in Australia H. Patel & A. Rahman https://doi.org/10.2166/nh.2014.172
73. A probabilistic framework to evaluate the uncertainty of design hydrograph: case study of Swannanoa River watershed E. Ahmadisharaf et al. https://doi.org/10.1080/02626667.2018.1525616
74. How Safe is Hydrologic Infrastructure Design? Analysis of Factors Affecting Extreme Flood Estimation Á. Sordo-Ward et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000981
75. A Comparison of Design Storms for Urban Drainage System Applications R. Balbastre-Soldevila et al. https://doi.org/10.3390/w11040757
76. Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows U. Haberlandt & I. Radtke https://doi.org/10.5194/hess-18-353-2014
77. Quantifying effects of catchments storage thresholds on step changes in the flood frequency curve M. Rogger et al. https://doi.org/10.1002/wrcr.20553
78. Extreme flood abatement in large dams with gate-controlled spillways A. Sordo-Ward et al. https://doi.org/10.1016/j.jhydrol.2013.06.010
79. Next-Generation Intensity–Duration–Frequency Curves to Reduce Errors in Peak Flood Design H. Yan et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001799
80. A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments Y. Zheng et al. https://doi.org/10.1029/2022WR033227
81. The Influence of the Annual Number of Storms on the Derivation of the Flood Frequency Curve through Event-Based Simulation A. Sordo-Ward et al. https://doi.org/10.3390/w8080335
82. Potential Implications of Implementing River Diversion Systems on Soil Productivity P. Pagliari https://doi.org/10.3390/agronomy15092208