75 citations as recorded by crossref.

1. Evaluation of flood risk due to rainfall under the impact of climate change in Antalya region H. Babacan https://doi.org/10.1080/1573062X.2025.2559277
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3. Tailored calibration of stochastic weather generators for enhanced hydrological system evaluation D. McInerney et al. https://doi.org/10.1016/j.jhydrol.2025.134894
4. A dataset of gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau Z. Ren et al. https://doi.org/10.1038/s41597-024-04362-1
5. Downscaling the probability of heavy rainfall over the Nordic countries R. Benestad et al. https://doi.org/10.5194/hess-29-45-2025
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8. Statistical Modeling of RPCA-FCM in Spatiotemporal Rainfall Patterns Recognition S. Che Mat Nor et al. https://doi.org/10.3390/atmos13010145
9. Spatio-Temporal Rainfall Distribution and Markov Chain Analogue Year Stochastic Daily Rainfall Model in Ethiopia N. Shibabaw et al. https://doi.org/10.5814/j.issn.1674-764x.2022.02.004
10. Comparative frequency analysis of daily maximum rainfall and its probability in Northern region of Saudi Arabia M. Alhumimidi https://doi.org/10.1007/s12517-021-08370-y
11. Developing the Actual Precipitation Probability Distribution Based on the Complete Daily Series W. Zhai et al. https://doi.org/10.3390/su151713136
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13. Evaluation of Seven Near-Real-Time Satellite-Based Precipitation Products for Wet Seasons in the Nierji Basin, China Y. Dou et al. https://doi.org/10.3390/rs13224552
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16. Assessment of Subseasonal-to-Seasonal (S2S) Precipitation Forecast Skill for Reservoir Operation in the Yaque Del Norte River, Dominican Republic N. Pelak et al. https://doi.org/10.3390/w16142032
17. The impact of using different probability representations in application of equidistant quantile matching for bias adjustment of daily precipitation over the Daqing River Basin, North China M. Lv et al. https://doi.org/10.1002/joc.7272
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19. Precipitation Regime Shift Associated with the Pacific Decadal Oscillation in the Maritime Continent V. Kokorev et al. https://doi.org/10.4236/ajcc.2020.92009
20. Application of Nonlinear Time Series and Machine Learning Algorithms for Forecasting Groundwater Flooding in a Lowland Karst Area B. Basu et al. https://doi.org/10.1029/2021WR029576
21. Design Combination Optimized Approach for Urban Stormwater and Drainage Systems Using Copula-Based Method Y. Zhong et al. https://doi.org/10.3390/w14111717
22. Non-parametric kernel-based estimation and simulation of precipitation amount A. Pavlides et al. https://doi.org/10.1016/j.jhydrol.2022.127988
23. Projected Changes in Southeast Asian Sea Surface Characteristics Using CMIP6 GCMs O. Salehie et al. https://doi.org/10.1007/s41748-024-00480-3
24. Probability Distributions for a Quantile Mapping Technique for a Bias Correction of Precipitation Data: A Case Study to Precipitation Data Under Climate Change J. Heo et al. https://doi.org/10.3390/w11071475
25. Advanced statistical analyses of urbanization impacts on heavy rainfall in the Beijing metropolitan area C. Chang et al. https://doi.org/10.1016/j.uclim.2021.100987
26. Improved Extreme Rainfall Frequency Analysis Using a Two‐Step Kappa Approach D. O’Shea et al. https://doi.org/10.1029/2021WR031854
27. Statistical modeling of monthly rainfall variability in Soummam watershed of Algeria, between 1967 and 2018 A. Aieb et al. https://doi.org/10.1111/nrm.12288
28. An improved meta-Gaussian distribution model for post-processing of precipitation forecasts by censored maximum likelihood estimation W. Li et al. https://doi.org/10.1016/j.jhydrol.2019.04.073
29. Determining the percentile threshold of daily extreme precipitation, methods evaluation L. Ricetti et al. https://doi.org/10.1007/s00477-025-02998-y
30. Combined predictive and descriptive tests for extreme rainfall probability distribution selection A. Ballarin et al. https://doi.org/10.1080/02626667.2022.2063725
31. An In-Depth Statistical Analysis of the Pearson Type III Distribution Behavior in Modeling Extreme and Rare Events C. Anghel & D. Ianculescu https://doi.org/10.3390/w17101539
32. Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula A. Alcantara & K. Ahn https://doi.org/10.3390/w12041214
33. A comprehensive implementation of the log, Box-Cox and log-sinh transformations for skewed and censored precipitation data Z. Huang et al. https://doi.org/10.1016/j.jhydrol.2023.129347
34. Estimating Flood Inundation Depth Along the Arterial Road Based on the Rainfall Intensity A. Suharyanto https://doi.org/10.2478/cee-2021-0008
35. Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models K. Shi et al. https://doi.org/10.1016/j.pdisas.2023.100301
36. On the effect of reference periods on trends in percentile-based extreme temperature indices R. Dunn & C. Morice https://doi.org/10.1088/1748-9326/ac52c8
37. A comprehensive investigation of event-based rainfall analysis in arid and semi-arid climates: An integration of innovative storm volume-duration-frequency (SVDF) schemes and event-based dimensionless hyetographs (EDH) M. Elkollaly et al. https://doi.org/10.1016/j.jhydrol.2025.132959
38. Cumulative distribution function of daily rainfall in the Tocantins–Araguaia hydrographic region, Amazon, Brazil M. Progênio & C. Blanco https://doi.org/10.1111/nrm.12264
39. The tales that the distribution tails of non-Gaussian autocorrelated processes tell: efficient methods for the estimation of the k -length block-maxima distribution I. Tsoukalas https://doi.org/10.1080/02626667.2021.2014056
40. A framework for merging precipitation retrievals and gauge-based observations based on a novel concept namely virtual gauges Y. Dou et al. https://doi.org/10.1016/j.jhydrol.2023.129506
41. Mitigating against the between‐ensemble‐member precipitation bias in a lagged sub‐seasonal ensemble M. Mittermaier et al. https://doi.org/10.1002/met.2197
42. The case of Tehran's urban heat island, Iran: Impacts of urban ‘lockdown’ associated with the COVID-19 pandemic G. Roshan et al. https://doi.org/10.1016/j.scs.2021.103263
43. A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis M. Khan et al. https://doi.org/10.1038/s41598-024-84056-1
44. Reliability of Ensemble Climatological Forecasts Z. Huang et al. https://doi.org/10.1029/2023WR034942
45. Optimization of Probability Density Functions Applicable for Hourly Rainfall T. Shen & Y. Xiang https://doi.org/10.3390/atmos14071100
46. Statistical Analysis of Extreme Events in Precipitation, Stream Discharge, and Groundwater Head Fluctuation: Distribution, Memory, and Correlation S. Dawley et al. https://doi.org/10.3390/w11040707
47. A spatial recursion framework for nonstationary flood frequency analysis considering river network dependence and reservoir routing C. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.135897
48. Cross-field microclimate variability and coupling across museum, excavation and buried heritage settings Z. Lu et al. https://doi.org/10.1038/s40494-026-02652-y
49. A seven-parameter Bernoulli-Gamma-Gaussian model to calibrate subseasonal to seasonal precipitation forecasts Z. Huang et al. https://doi.org/10.1016/j.jhydrol.2022.127896
50. Rainfall as a driver of post-wildfire flooding and debris flows: A review and synthesis N. Collar et al. https://doi.org/10.1016/j.earscirev.2024.104990
51. The New Bias Correction Method for Daily Extremes Precipitation over South Korea using CMIP6 GCMs Y. Song et al. https://doi.org/10.1007/s11269-022-03338-3
52. Determining optimal probability distributions for gridded precipitation data based on L-moments M. Li et al. https://doi.org/10.1016/j.scitotenv.2023.163528
53. Domain-knowledge-guided deep learning for probabilistic precipitation downscaling over southeastern Tibetan Plateau D. Li et al. https://doi.org/10.1016/j.jhydrol.2026.136242
54. Applying the Meta-statistical Approach to Assessing the Accuracy of Return Level of Daily Rainfall Across Japan K. SAKIKAWA et al. https://doi.org/10.3178/jjshwr.38.1844
55. A Global-Scale Investigation of Stochastic Similarities in Marginal Distribution and Dependence Structure of Key Hydrological-Cycle Processes P. Dimitriadis et al. https://doi.org/10.3390/hydrology8020059
56. A New Framework for Comprehensive Flood Risk Assessment Under Non-Stationary Conditions Using GIS-Based MCDM Modeling R. Gün & M. Yılmaz https://doi.org/10.3390/atmos17010062
57. Quantifying the influence of climate change on pesticide risks in drinking water J. Harmon O'Driscoll et al. https://doi.org/10.1016/j.scitotenv.2025.179090
58. Assessment and characterization of the monthly probabilities of rainfall in Midwest Brazil using different goodness-of-fit tests as probability density functions selection criteria M. Abreu et al. https://doi.org/10.1007/s00704-022-04286-z
59. The characterization of droughts and dry spells in Northern Tunisia based on the analysis of daily rainfall series M. Majid & L. Fethi https://doi.org/10.1016/j.ejrh.2024.102047
60. Implementing Weather Generators for Prediction of Future Climate Changes: A Review Paper M. Dheyaa et al. https://doi.org/10.25130/tjes.32.4.14
61. Best-fit probability distribution models for monthly rainfall of Northeastern Brazil P. Ximenes et al. https://doi.org/10.2166/wst.2021.304
62. A gamma tail statistic and its asymptotics T. Iwashita & B. Klar https://doi.org/10.1111/stan.12316
63. Pyenspp: A Python package for ensemble precipitation forecast post-processing using a hybrid KAN–CSGD model F. Jiang et al. https://doi.org/10.1016/j.envsoft.2026.107012
64. Assessment of blue water-green water interchange under extreme warm and dry events across different ecohydrological regions of western Canada P. Khalili et al. https://doi.org/10.1016/j.jhydrol.2023.130105
65. Comparative performance of different probability distribution functions for maximum rainfall estimation at different time scales T. Bajirao https://doi.org/10.1007/s12517-021-08580-4
66. An extension of the logistic function to account for nonstationary drought losses T. Zhao et al. https://doi.org/10.5194/hess-29-2429-2025
67. AI-Driven Identification of Optimal Distribution Models for Extreme Precipitation Data in China J. Yan et al. https://doi.org/10.1142/S0129156425406333
68. A comprehensive analysis of regional disaggregation coefficients and intensity-duration-frequency curves for the Itacaiúnas watershed in the eastern Brazilian Amazon P. de Bodas Terassi et al. https://doi.org/10.1007/s00704-023-04591-1
69. Relating precipitation extremes to streamflow peaks using percentile-based correspondence and interpretable machine learning T. Zhao & X. Li https://doi.org/10.1016/j.jhydrol.2026.136647
70. Assessment of rainfall trends and extremes in the southeastern Chittagong region of Bangladesh using multiple statistical approaches M. Rahman et al. https://doi.org/10.1007/s43621-025-01624-9
71. Improving categorical and continuous accuracy of precipitation forecasts by integrating Empirical Quantile Mapping and Bernoulli-Gamma-Gaussian distribution L. Li et al. https://doi.org/10.1016/j.atmosres.2023.107133
72. Identification of the Optimum Rain Gauge Network Density for Hydrological Modelling Based on Radar Rainfall Analysis Y. Gyasi-Agyei https://doi.org/10.3390/w12071906
73. Urban stormwater management under various runoff conditions for Arba Minch town of southern Ethiopia B. Ayda et al. https://doi.org/10.1016/j.nhres.2024.02.003
74. Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes V. Agou et al. https://doi.org/10.3390/e24030321
75. Modeling climate extremes using the four-parameter kappa distribution for r-largest order statistics Y. Shin & J. Park https://doi.org/10.1016/j.wace.2022.100533