91 citations as recorded by crossref.

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3. Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves? P. Ganguli & P. Coulibaly https://doi.org/10.5194/hess-21-6461-2017
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5. Multivariate non-parametric Euclidean distance model for hourly disaggregation of daily climate data C. Görner et al. https://doi.org/10.1007/s00704-020-03426-7
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7. Revisiting the Statistical Scaling of Annual Discharge Maxima at Daily Resolution with Respect to the Basin Size in the Light of Rainfall Climatology A. Perdios & A. Langousis https://doi.org/10.3390/w12020610
8. Recent changes to the hydrological cycle of an Arctic basin at the tundra–taiga transition S. Krogh & J. Pomeroy https://doi.org/10.5194/hess-22-3993-2018
9. Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy https://doi.org/10.5194/hess-24-169-2020
10. Incorporation of weather parameters in MMRC-K model for rainfall disaggregation D. Chowdhury et al. https://doi.org/10.1007/s00477-024-02863-4
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19. Statistical framework to simulate daily rainfall series conditional on upper-air predictor variables A. Langousis & V. Kaleris https://doi.org/10.1002/2013WR014936
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23. Variability in the scale properties of high‐resolution precipitation data in the Alpine climate of Switzerland P. Molnar & P. Burlando https://doi.org/10.1029/2007WR006142
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25. Evaluating changes and estimating seasonal precipitation for the Colorado River Basin using a stochastic nonparametric disaggregation technique A. Kalra & S. Ahmad https://doi.org/10.1029/2010WR009118
26. Temporal Rainfall Disaggregation with a Cascade Model: From Single-Station Disaggregation to Spatial Rainfall H. Müller & U. Haberlandt https://doi.org/10.1061/(ASCE)HE.1943-5584.0001195
27. Temperature-Driven Rise in Extreme Sub-Hourly Rainfall G. Bürger et al. https://doi.org/10.1175/JCLI-D-19-0136.1
28. Stochastic temporal disaggregation of monthly precipitation for regional gridded data sets S. Thober et al. https://doi.org/10.1002/2014WR015930
29. Obtaining daily precipitation parameters from meteorological yearbooks F. Meza https://doi.org/10.1016/j.agrformet.2006.04.007
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31. Circulation pattern based parameterization of a multiplicative random cascade for disaggregation of observed and projected daily rainfall time series D. Lisniak et al. https://doi.org/10.5194/hess-17-2487-2013
32. Assessing the short, medium, and long-term impacts of climate change on crop water availability of maize and paddy A. Bashir et al. https://doi.org/10.1007/s12040-026-02801-8
33. The impact of tipping‐bucket raingauge measurement errors on design rainfall for urban‐scale applications A. Molini et al. https://doi.org/10.1002/hyp.5646
34. Estimation of instantaneous peak flows from maximum mean daily flows using the HBV hydrological model J. Ding et al. https://doi.org/10.1002/hyp.10725
35. Suction Stress–Based Rainfall Intensity–Duration Method for Slope Instability Prediction N. Lu et al. https://doi.org/10.1061/JGGEFK.GTENG-12597
36. Rainfall Generation Revisited: Introducing CoSMoS‐2s and Advancing Copula‐Based Intermittent Time Series Modeling S. Papalexiou https://doi.org/10.1029/2021WR031641
37. Quantitative assessment of annual maxima, peaks-over-threshold and multifractal parametric approaches in estimating intensity-duration-frequency curves from short rainfall records S. Emmanouil et al. https://doi.org/10.1016/j.jhydrol.2020.125151
38. Estimation of intensity–duration–frequency curves using max-stable processes H. Tyralis & A. Langousis https://doi.org/10.1007/s00477-018-1577-2
39. Intra‐event intermittency of rainfall: an analysis of the metrics of rain and no‐rain periods D. Dunkerley https://doi.org/10.1002/hyp.10454
40. Flood hazard mapping using FLO-2D and local management strategies of Dire Dawa city, Ethiopia S. Erena et al. https://doi.org/10.1016/j.ejrh.2018.09.005
41. Assessing the performance of daily to subdaily temporal disaggregation methods for the IDF curve generation under climate change F. Alzahrani et al. https://doi.org/10.2166/wcc.2023.507
42. The global space–time cascade structure of precipitation: Satellites, gridded gauges and reanalyses S. Lovejoy et al. https://doi.org/10.1016/j.advwatres.2012.03.024
43. Sustainable Development of Storm-water Systems in African Cities Considering Climate Change F. De Paola et al. https://doi.org/10.1016/j.proeng.2015.08.970
44. Analysis and modelling of rainfall fields at different resolutions in southern Italy D. De Luca https://doi.org/10.1080/02626667.2014.926013
45. Improving the accuracy of tipping-bucket rain records using disaggregation techniques A. Molini et al. https://doi.org/10.1016/j.atmosres.2004.12.013
46. Intensity-Duration-Frequency (IDF) rainfall curves, for data series and climate projection in African cities F. De Paola et al. https://doi.org/10.1186/2193-1801-3-133
47. An open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST v0.1.1) K. Förster et al. https://doi.org/10.5194/gmd-9-2315-2016
48. Precipitation variability within an urban monitoring network via microcanonical cascade generators P. Licznar et al. https://doi.org/10.5194/hess-19-485-2015
49. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al. https://doi.org/10.5194/npg-22-383-2015
50. Incorporating parameter dependencies into temporal downscaling of extreme rainfall using a random cascade approach N. McIntyre et al. https://doi.org/10.1016/j.jhydrol.2016.09.057
51. Assessing the Effect of Bias Correction Methods on the Development of Intensity–Duration–Frequency Curves Based on Projections from the CORDEX Central America GCM-RCM Multimodel-Ensemble M. Mendez et al. https://doi.org/10.3390/w16233473
52. Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling J. Sheffield et al. https://doi.org/10.1175/JCLI3790.1
53. Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation D. Rupp et al. https://doi.org/10.1029/2008WR007321
54. Assessment of future changes in intensity-duration-frequency curves for Southern Ontario using North American (NA)-CORDEX models with nonstationary methods P. Ganguli & P. Coulibaly https://doi.org/10.1016/j.ejrh.2018.12.007
55. Diagnosis of the hydrology of a small Arctic basin at the tundra-taiga transition using a physically based hydrological model S. Krogh et al. https://doi.org/10.1016/j.jhydrol.2017.05.042
56. Temporal Disaggregation of Rainfall Based on Microcanonical Cascade Model (A Software Development and Case Study) M. Ghorbani et al. https://doi.org/10.29252/jwmr.9.17.96
57. Interactions between soil structure dynamics, hydrological processes, and organic matter cycling: A new soil‐crop model N. Jarvis et al. https://doi.org/10.1111/ejss.13455
58. A stochastic model for daily rainfall disaggregation into fine time scale for a large region Y. Gyasi-Agyei & S. Mahbub https://doi.org/10.1016/j.jhydrol.2007.09.047
59. Preservation of rainfall properties in stochastic disaggregation by a simple random cascade model P. Molnar & P. Burlando https://doi.org/10.1016/j.atmosres.2004.10.024
60. Identification of hydrological models for operational flood forecasting in St. John’s, Newfoundland, Canada D. Wijayarathne & P. Coulibaly https://doi.org/10.1016/j.ejrh.2019.100646
61. On temporal stochastic modeling of precipitation, nesting models across scales A. Paschalis et al. https://doi.org/10.1016/j.advwatres.2013.11.006
62. GEV Parameter Estimation and Stationary vs. Non-Stationary Analysis of Extreme Rainfall in African Test Cities F. De Paola et al. https://doi.org/10.3390/hydrology5020028
63. Generating hourly mean areal precipitation times series with an at-site weather generator in Switzerland K. Maloku et al. https://doi.org/10.1007/s00477-024-02757-5
64. A Multi criteria Decision Making based nonparametric method of fragments to disaggregate daily precipitation V. Manikanta et al. https://doi.org/10.1016/j.jhydrol.2022.128994
65. Nordic contributions to stochastic methods in hydrology D. Rosbjerg et al. https://doi.org/10.2166/nh.2022.137
66. 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
67. Use of observed scaled daily storm profiles in a copula based rainfall disaggregation model Y. Gyasi-Agyei https://doi.org/10.1016/j.advwatres.2011.11.003
68. Applicability of statistical and deep-learning models for rainfall disaggregation at metropolitan stations in India D. Bhattacharyya et al. https://doi.org/10.1016/j.ejrh.2023.101616
69. Temporal downscaling rainfall and streamflow records through a deterministic fractal geometric approach M. Maskey et al. https://doi.org/10.1016/j.jhydrol.2018.09.014
70. Coupling Poisson rectangular pulse and multiplicative microcanonical random cascade models to generate sub-daily precipitation timeseries I. Pohle et al. https://doi.org/10.1016/j.jhydrol.2018.04.063
71. Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm D. Chowdhury & U. Saha https://doi.org/10.1007/s12145-024-01309-3
72. Long‐Term Effects of No‐Till Systems on Soil Structure and Function Under Climate Change: An Exploratory Modelling Study M. Feifel et al. https://doi.org/10.1111/ejss.70259
73. Stochastic disaggregation of daily rainfall into one-hour time scale Y. Gyasi-Agyei https://doi.org/10.1016/j.jhydrol.2004.11.018
74. Modern proposal of methodology for retrieval of characteristic synthetic rainfall hyetographs P. Licznar et al. https://doi.org/10.1051/e3sconf/20172200104
75. Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data N. Ebers et al. https://doi.org/10.5194/nhess-24-2025-2024
76. Statistical performances of various deterministic and stochastic models for rainfall series disaggregation B. Hingray & M. Ben Haha https://doi.org/10.1016/j.atmosres.2004.10.023
77. Rainfall stochastic disaggregation models: Calibration and validation of a multiplicative cascade model E. Gaume et al. https://doi.org/10.1016/j.advwatres.2006.11.007
78. Current Awareness https://doi.org/10.1002/hyp.538
79. A methodology for temporal disaggregation of daily rain gauge data using satellite precipitation product for improved accuracy in hydrologic simulation N. Kachhawa & P. Agnihotri https://doi.org/10.2166/wpt.2023.199
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81. Sub-daily rainfall simulation using multifractal canonical disaggregation: a parsimonious calibration strategy based on intensity-duration-frequency curves F. Cappelli et al. https://doi.org/10.1007/s00477-024-02827-8
82. 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
83. Stochastic Space–Time Disaggregation of Rainfall into DSD fields M. Schleiss & A. Berne https://doi.org/10.1175/JHM-D-12-013.1
84. A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss https://doi.org/10.5194/hess-24-3699-2020
85. Stochastic disaggregation of daily to hourly rainfall data in Subtropical regions of Bihar, India A. Prajapati & T. Roshni https://doi.org/10.1016/j.pce.2026.104612
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