150 citations as recorded by crossref.

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39. A long short-term memory model for sub-hourly temporal disaggregation of precipitation H. Oates et al. https://doi.org/10.1007/s00477-025-02996-0
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49. Stochastic Space‐Time Downscaling of Rainfall Using Event‐Based Multiplicative Cascade Simulations B. Raut et al. https://doi.org/10.1029/2018JD029343
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51. Reproduction of temporal scaling by a rectangular pulses rainfall model J. Olsson & P. Burlando https://doi.org/10.1002/hyp.307
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53. 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
54. Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition S. Kim et al. https://doi.org/10.2166/nh.2016.314
55. 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
56. Assessing the Impact of Urban Development and On-Site Stormwater Detention on Regional Hydrology Using Monte Carlo Simulated Rainfall R. Ronalds & H. Zhang https://doi.org/10.1007/s11269-019-02275-y
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70. Estimation of intensity–duration–frequency curves using max-stable processes H. Tyralis & A. Langousis https://doi.org/10.1007/s00477-018-1577-2
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73. 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
74. Efficacy of coupled stochastic disaggregation algorithms with Random Forests in simulating hourly rainfall across Indian cities D. Vinod & V. Jothiprakash https://doi.org/10.1016/j.uclim.2026.103106
75. Analysis and modelling of rainfall fields at different resolutions in southern Italy D. De Luca https://doi.org/10.1080/02626667.2014.926013
76. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al. https://doi.org/10.5194/npg-22-383-2015
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78. 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
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83. Uncertainty of Rainfall Products: Impact on Modelling Household Nutrition from Rain-Fed Agriculture in Southern Africa R. Luetkemeier et al. https://doi.org/10.3390/w10040499
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89. Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany B. Shehu et al. https://doi.org/10.5194/hess-27-1109-2023
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118. Assessing hydrological impacts of climate change using bias‐corrected downscaled precipitation in Mae Klong basin of Thailand D. Sharma & M. Babel https://doi.org/10.1002/met.1706
119. Incorporating daily rainfalls to derive rainfall DDF relationships at ungauged sites in Hong Kong and quantifying their uncertainty P. Jiang & Y. Tung https://doi.org/10.1007/s00477-014-0915-2
120. Direct and indirect effects of climate change on herbicide leaching — A regional scale assessment in Sweden K. Steffens et al. https://doi.org/10.1016/j.scitotenv.2014.12.049
121. A novel approach for bridging the gap between climate change scenarios and avalanche hazard indication mapping G. Ortner et al. https://doi.org/10.1016/j.coldregions.2024.104355
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125. Estimating annual precipitation for the Colorado River Basin using oceanic‐atmospheric oscillations A. Kalra & S. Ahmad https://doi.org/10.1029/2011WR010667
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127. Future Projection of Extreme Rainfall for Flood Management due to Climate Change in an Urban Area S. Halder & U. Saha https://doi.org/10.1061/JSWBAY.0000954
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131. 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
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133. Multisite multivariate disaggregation of climate parameters using multiplicative random cascades A. Gaur & M. Lacasse https://doi.org/10.1016/j.uclim.2018.08.010
134. Local-scale regionalisation of climate change effects on rainfall pattern: application to Alicante City (Spain) L. Cutillas-Lozano et al. https://doi.org/10.1007/s00704-023-04565-3
135. 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
136. 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
137. A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss https://doi.org/10.5194/hess-24-3699-2020
138. Introduction of k-means clustering into random cascade model for disaggregation of rainfall from daily to 1-hour resolution with improved preservation of extreme rainfall P. Deka & U. Saha https://doi.org/10.1016/j.jhydrol.2023.129478
139. A multisite daily rainfall generator driven by bivariate copula‐based mixed distributions F. Serinaldi https://doi.org/10.1029/2008JD011258
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141. Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model K. Maloku et al. https://doi.org/10.5194/hess-27-3643-2023
142. Spatial disaggregation of bias-corrected GCM precipitation for improved hydrologic simulation: Ping River Basin, Thailand D. Sharma et al. https://doi.org/10.5194/hess-11-1373-2007
143. An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability J. Leach & P. Coulibaly https://doi.org/10.1016/j.advwatres.2019.103443
144. 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
145. Disaggregating daily precipitations into hourly values with a transformed censored latent Gaussian process D. Allard & M. Bourotte https://doi.org/10.1007/s00477-014-0913-4
146. Does the complexity in temporal precipitation disaggregation matter for a lumped hydrological model? H. Müller-Thomy & A. Sikorska-Senoner https://doi.org/10.1080/02626667.2019.1638926
147. Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models S. Kim & V. Singh https://doi.org/10.3390/w7062707
148. Stochastic Models of Rainfall P. Northrop https://doi.org/10.1146/annurev-statistics-040622-023838
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150. 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