141 citations as recorded by crossref.

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7. Nonparametric estimation of multivariate quantiles M. Coblenz et al. https://doi.org/10.1002/env.2488
8. Application of PSO Method for Archimedean Copula Parameter Estimation in Flood (Rain) and Tide Joint Distribution Analysis X. Yang https://doi.org/10.1061/(ASCE)HE.1943-5584.0002056
9. A non-stationary cost-benefit based bivariate extreme flood estimation approach W. Qi & J. Liu https://doi.org/10.1016/j.jhydrol.2017.12.045
10. Multivariate analysis of rainfall–runoff characteristics using copulas S. Moradzadeh Rahmatabadi et al. https://doi.org/10.1007/s12040-023-02105-1
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12. Estimation of synthetic flood design hydrographs using a distributed rainfall–runoff model coupled with a copula-based single storm rainfall generator A. Candela et al. https://doi.org/10.5194/nhess-14-1819-2014
13. Estimation of return period and its uncertainty for the recent 2013–2015 drought in the Han River watershed in South Korea J. Kim et al. https://doi.org/10.2166/nh.2018.146
14. Homogeneity testing of multivariate hydrological records, using multivariate copula L-moments I. Ben Nasr & F. Chebana https://doi.org/10.1016/j.advwatres.2019.103449
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20. Joint modelling of annual maximum drought severity and corresponding duration F. Tosunoglu & O. Kisi https://doi.org/10.1016/j.jhydrol.2016.10.018
21. On the prediction of extreme flood quantiles at ungauged locations with spatial copula M. Durocher et al. https://doi.org/10.1016/j.jhydrol.2015.12.029
22. Generation of Spatially Heterogeneous Flood Events in an Alpine Region—Adaptation and Application of a Multivariate Modelling Procedure K. Schneeberger & T. Steinberger https://doi.org/10.3390/hydrology5010005
23. Effect of Seasonality on the Quantiles Estimation of Maximum Floodwater Levels in a Reservoir and Maximum Outflows J. Aranda & R. García-Bartual https://doi.org/10.3390/w12020519
24. Extension of observed flood series by combining a distributed hydro-meteorological model and a copula-based model A. Requena et al. https://doi.org/10.1007/s00477-015-1138-x
25. A hybrid drought Index for assessing agricultural drought in arid and semi-arid coastal areas of Southern Iran Z. Azhdari & J. Bazrafshan https://doi.org/10.1007/s13762-022-04154-3
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28. Bivariate design flood quantile selection using copulas T. Li et al. https://doi.org/10.2166/nh.2016.049
29. Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events A. Folcher & J. Quessy https://doi.org/10.1002/env.70005
30. Pluvial flooding in urban areas: the role of surface drainage efficiency A. Palla et al. https://doi.org/10.1111/jfr3.12246
31. Comparative analysis of routed flood frequency for reservoirs in parallel incorporating bivariate flood frequency and reservoir operation T. Zhou & J. Jin https://doi.org/10.1111/jfr3.12705
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33. Structure-based framework for the design and risk assessment of hydraulic structures, with application to offline flood detention basins S. Cipollini et al. https://doi.org/10.1016/j.jhydrol.2021.126527
34. 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
35. Deriving Design Flood Hydrographs Based on Copula Function: A Case Study in Pakistan M. Rizwan et al. https://doi.org/10.3390/w11081531
36. A framework to evaluate the impact of a hazard chain and geographical covariates on spatial extreme water levels: A case study in the Pearl River Delta Z. She et al. https://doi.org/10.1016/j.scitotenv.2024.172066
37. Effect of catchment properties and flood generation regime on copula selection for bivariate flood frequency analysis V. Filipova et al. https://doi.org/10.1007/s11600-018-0113-6
38. Probabilistic assessment of concurrent tornado and storm‐related flash flood events Y. Ngui et al. https://doi.org/10.1002/joc.8084
39. Comparison of nonstationary models in analyzing bivariate flood frequency at the Three Gorges Dam X. Zhang et al. https://doi.org/10.1016/j.jhydrol.2019.124208
40. A multivariate copula‐based framework for dealing with hazard scenarios and failure probabilities G. Salvadori et al. https://doi.org/10.1002/2015WR017225
41. Multivariate missing data in hydrology – Review and applications M. Ben Aissia et al. https://doi.org/10.1016/j.advwatres.2017.10.002
42. Influence of data source and copula statistics on estimates of compound flood extremes in a river mouth environment K. Dubois et al. https://doi.org/10.5194/nhess-24-3245-2024
43. Copula‐Based Modeling of Flood Control Reservoirs M. Balistrocchi et al. https://doi.org/10.1002/2017WR021345
44. The effect of copulas on time-variant reliability involving time-continuous stochastic processes Á. Rózsás & Z. Mogyorósi https://doi.org/10.1016/j.strusafe.2017.02.004
45. Safety design for water-carrying Lake flood control based on copula function: A Case study of the Hongze Lake, China Y. Luo et al. https://doi.org/10.1016/j.jhydrol.2021.126188
46. Impact of Climate Change on Wind Power Generation Studied Using Multivariate Copula Downscaling: A Case Study in Northwestern China S. Wang et al. https://doi.org/10.3390/en18081963
47. An improved nonstationary model for flood frequency analysis and its implication for the Three Gorges Dam, China Q. Dong et al. https://doi.org/10.1080/02626667.2019.1596274
48. Mixture copula parameter estimation with metaheuristic algorithms, comparative study under hydrological context E. Gontara & F. Chebana https://doi.org/10.1007/s00477-025-02914-4
49. An update on multivariate return periods in hydrology B. Gräler et al. https://doi.org/10.5194/piahs-373-175-2016
50. Bivariate Seasonal Design Flood Estimation Based on Copulas J. Yin et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001594
51. Uncertainty quantification and partition for multivariate risk inferences through a factorial multimodel Bayesian copula (FMBC) system Y. Fan et al. https://doi.org/10.1016/j.jhydrol.2021.126406
52. Uncertainty Analysis of Bivariate Design Flood Estimation and its Impacts on Reservoir Routing J. Yin et al. https://doi.org/10.1007/s11269-018-1904-x
53. Nonstationary flood coincidence risk analysis using time-varying copula functions Y. Feng et al. https://doi.org/10.1038/s41598-020-60264-3
54. Bivariate Nonstationary Extreme Flood Risk Estimation Using Mixture Distribution and Copula Function for the Longmen Reservoir, North China Q. Li et al. https://doi.org/10.3390/w14040604
55. Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice C. Jiang et al. https://doi.org/10.5194/hess-23-1683-2019
56. A data-driven spatial approach to characterize the flood hazard R. Mostafiz et al. https://doi.org/10.3389/fdata.2022.1022900
57. Probable maximum precipitation in a warming climate over North America in CanRCM4 and CRCM5 M. Ben Alaya et al. https://doi.org/10.1007/s10584-019-02591-7
58. Analysis of the Effects of Reservoir Operating Scenarios on Downstream Flood Damage Risk Using an Integrated Monte Carlo Modelling Approach G. Brigandì et al. https://doi.org/10.3390/w15030550
59. A copula‐based nonstationary frequency analysis for the 2012–2015 drought in California H. Kwon & U. Lall https://doi.org/10.1002/2016WR018959
60. Multivariate Modeling of Annual Instantaneous Maximum Flows Using Copulas F. Tosunoglu & V. Singh https://doi.org/10.1061/(ASCE)HE.1943-5584.0001644
61. Archimedean copula-based bivariate flood-frequency analysis on Sukkur, Pakistan S. Naz et al. https://doi.org/10.1007/s12517-020-5223-1
62. Safety design for rivers-connected lake flood control based on Copula function: A case study of Lake Hongze L. Yun et al. https://doi.org/10.18307/2021.0320
63. Extreme Flood Flow Routing for Panchet and Maithan Reservoirs of India Using Modified Puls Technique M. Dasgupta & S. Das https://doi.org/10.3390/w16050663
64. Análisis de frecuencias de crecientes trivariados con dependencia regional y funciones Cópula D. Campos-Aranda https://doi.org/10.24850/j-tyca-2025-01-08
65. Trivariate flood frequency analysis using copula functions: assessing non-stationary hydrological risks under climate change S. Soltaninia & M. Eskandaripour https://doi.org/10.2166/wcc.2025.068
66. Multivariate hydrological risk under heterogeneous conditions E. Gontara & F. Chebana https://doi.org/10.1016/j.jhydrol.2025.134588
67. Estimation method for mixture copula models in hydrological context I. Ben Nasr & F. Chebana https://doi.org/10.1016/j.jhydrol.2022.128603
68. Bivariate Risk Analysis of Droughts Using a Nonparametric Multivariate Standardized Drought Index and Copulas S. Vazifehkhah et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001775
69. Criterios gasto prioridad y volumen prioridad para la estimación de hidrogramas de avenidas mediante cópulas E. Copca Maya et al. https://doi.org/10.4995/ia.23895
70. WITHDRAWN: Modelling the long-term suspended sedimentological effects on stormwater pond performance in an urban catchment S. Ahilan et al. https://doi.org/10.1016/j.hydroa.2019.100022
71. Spatio‐temporal drought patterns of multiple drought indices based on precipitation and soil moisture: A case study in South Korea M. Kwon et al. https://doi.org/10.1002/joc.6094
72. Multivariate L-moment based tests for copula selection, with hydrometeorological applications I. Ben Nasr & F. Chebana https://doi.org/10.1016/j.jhydrol.2019.124151
73. A process-based analysis of the suitability of copula types for peak-volume flood relationships J. Szolgay et al. https://doi.org/10.5194/piahs-370-183-2015
74. Hydrological risk analysis of dam overtopping using bivariate statistical approach: a case study from Geheyan Reservoir, China Z. Liu et al. https://doi.org/10.1007/s00477-018-1550-0
75. Univariate and Bivariate Hydrological Drought Frequency Analysis by Copula Functions I. Deger et al. https://doi.org/10.1007/s11269-023-03586-x
76. Inconsistent variation of return periods of temperature extremum in China and its projection based on CMIP6 results X. Kuang et al. https://doi.org/10.1007/s42452-021-04863-3
77. Probabilistic dependence between streamflow and hydroclimatic variables and the possible linkages to large-scale atmospheric circulation: A case study in Baden-Württemberg, Southwest Germany Z. Liu & L. Menzel https://doi.org/10.1016/j.jhydrol.2018.08.054
78. Review article: Climate change impacts on dam safety J. Fluixá-Sanmartín et al. https://doi.org/10.5194/nhess-18-2471-2018
79. Comprehensive groundwater safety assessment under potential shale gas contamination based on integrated analysis of reliability–resilience–vulnerability and gas migration index H. Lu et al. https://doi.org/10.1016/j.jhydrol.2019.124072
80. Upper tail dependence in rainfall extremes: would we know it if we saw it? F. Serinaldi et al. https://doi.org/10.1007/s00477-014-0946-8
81. Bivariate return periods and their importance for flood peak and volume estimation M. Brunner et al. https://doi.org/10.1002/wat2.1173
82. Joint Failure Probability of Dams Based on Probabilistic Flood Hazard Analysis M. Montgomery et al. https://doi.org/10.3390/w16060865
83. Copula-Based Joint Flood Frequency Analysis: The Case of Guder River, Upper Blue Nile Basin, Ethiopia M. Haile et al. https://doi.org/10.1155/2023/7637884
84. A meta-heuristic approach for multivariate design flood quantile estimation incorporating historical information J. Yin et al. https://doi.org/10.2166/nh.2018.060
85. Dealing with uncertainty in the probability of overtopping of a flood mitigation dam E. Michailidi & B. Bacchi https://doi.org/10.5194/hess-21-2497-2017
86. Copula-based modeling of hydraulic structures using a nonlinear reservoir model Q. Tan et al. https://doi.org/10.2166/nh.2021.178
87. Probable maximum precipitation estimation over western Iran based on remote sensing observations: comparing deterministic and probabilistic approaches M. Merrikhpour et al. https://doi.org/10.1080/02626667.2020.1853133
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120. Compound Flooding from Cyclones in Coastal Regions of the Southeastern United States R. Yaddanapudi et al. https://doi.org/10.1061/JHYEFF.HEENG-6536
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134. A methodology to derive Synthetic Design Hydrographs for river flood management M. Tomirotti & P. Mignosa https://doi.org/10.1016/j.jhydrol.2017.10.036
135. Process-based selection of copula types for flood peak-volume relationships in Northwest Austria: a case study S. Kohnová et al. https://doi.org/10.1515/congeo-2016-0015
136. Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods M. Brunner et al. https://doi.org/10.1007/s00477-018-1523-3
137. Trivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India R. Datta & M. Reddy https://doi.org/10.1007/s00477-023-02484-3
138. Copula-Based Multivariate Simulation Approach for Flood Risk Transfer of Multi-Reservoirs in the Weihe River, China S. Wang et al. https://doi.org/10.3390/w14172676
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140. Failure Probability Analysis of Levees Affected by Mammal Bioerosion M. Balistrocchi et al. https://doi.org/10.1029/2021WR030559
141. Multivariate analysis of factors influencing the peak flow and runoff volume in the Cerrado and Atlantic Forest biomes in Brazil L. de Almeida et al. https://doi.org/10.1007/s10661-021-09408-0