271 citations as recorded by crossref.

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30. Amplification of Flood Risks by the Compound Effects of Precipitation and Storm Tides Under the Nonstationary Scenario in the Coastal City of Haikou, China H. Xu et al. 10.1007/s13753-022-00429-y
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34. A Bayesian copula-based nonstationary framework for compound flood risk assessment along US coastlines K. Naseri & M. Hummel 10.1016/j.jhydrol.2022.128005
35. The Devil Is in the Tail Dependence: An Assessment of Multivariate Copula‐Based Frameworks and Dependence Concepts for Coastal Compound Flood Dynamics R. Phillips et al. 10.1029/2022EF002705
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41. Projected regional responses of precipitation extremes and their joint probabilistic behaviors to climate change in the upper and middle reaches of Huaihe River Basin, China S. Mou et al. 10.1016/j.atmosres.2020.104942
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47. A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar T. Nguyen-Huy et al. 10.1016/j.rsase.2022.100733
48. High-resolution marine flood modelling coupling overflow and overtopping processes: framing the hazard based on historical and statistical approaches A. Nicolae Lerma et al. 10.5194/nhess-18-207-2018
49. Weakening flood, intensifying hydrological drought severity and decreasing drought probability in Northeast China W. Qi et al. 10.1016/j.ejrh.2021.100941
50. Bivariate hydrologic risk analysis for the Xiangxi River in Three Gorges Reservoir Area, China Y. Fan 10.1186/s40068-022-00264-6
51. Quantifying hazard of drought and heat compound extreme events during maize (Zea mays L.) growing season using Magnitude Index and Copula Y. Guo et al. 10.1016/j.wace.2023.100566
52. Critical rainfall statistics for predicting watershed flood responses: rethinking the design storm concept J. Knighton & M. Walter 10.1002/hyp.10888
53. Multihazard Scenarios for Analysis of Compound Extreme Events M. Sadegh et al. 10.1029/2018GL077317
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55. Evaluation of Vector Hazard for Conditional Mean Spectrum with Different Definitions of Multivariate Exceedance Rate K. Ji et al. 10.1080/13632469.2022.2090462
56. Copula-Based Bivariate Flood Risk Assessment on Tarbela Dam, Pakistan S. Naz et al. 10.3390/hydrology6030079
57. Design Combination Optimized Approach for Urban Stormwater and Drainage Systems Using Copula-Based Method Y. Zhong et al. 10.3390/w14111717
58. Risk variation of reservoir regulation during flood season based on bivariate statistical approach under climate change: a case study in the Chengbihe reservoir, China D. Wang et al. 10.1007/s11069-021-04746-1
59. Investigating Flood Risks of Rainfall and Storm Tides Affected by the Parameter Estimation Coupling Bivariate Statistics and Hydrodynamic Models in the Coastal City H. Xu et al. 10.3390/ijerph191912592
60. A Framework for Exploring Joint Effects of Conditional Factors on Compound Floods Z. Liu et al. 10.1002/2017WR021662
61. Joint distribution of design precipitation and tide and impact of sampling in a coastal area X. Tu et al. 10.1002/joc.5368
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63. A non-stationary cost-benefit based bivariate extreme flood estimation approach W. Qi & J. Liu 10.1016/j.jhydrol.2017.12.045
64. An update on multivariate return periods in hydrology B. Gräler et al. 10.5194/piahs-373-175-2016
65. Spatially distributed bivariate meteorological drought analysis using copula technique in a semi-arid river basin of West Bengal, India S. Aon & S. Biswas 10.1007/s00704-023-04790-w
66. Integrated meteorological and hydrological drought model: A management tool for proactive water resources planning of semi-arid regions A. Rad et al. 10.1016/j.advwatres.2017.07.007
67. A copula-based analysis of projected climate changes to bivariate flood quantiles J. Yin et al. 10.1016/j.jhydrol.2018.08.053
68. Clustering Simultaneous Occurrences of the Extreme Floods in the Neckar Catchment E. Modiri & A. Bárdossy 10.3390/w13040399
69. Modeling flood event characteristics using D-vine structures M. Shafaei et al. 10.1007/s00704-016-1911-x
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91. Coincidence probability analysis of hydrologic low-flow under the changing environment in the Wei River Basin J. Yang et al. 10.1007/s11069-020-04051-3
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