152 citations as recorded by crossref.

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48. Temperature-Driven Rise in Extreme Sub-Hourly Rainfall G. Bürger et al. https://doi.org/10.1175/JCLI-D-19-0136.1
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50. 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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54. 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
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57. 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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135. Multisite multivariate disaggregation of climate parameters using multiplicative random cascades A. Gaur & M. Lacasse https://doi.org/10.1016/j.uclim.2018.08.010
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137. 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
138. 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
139. A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss https://doi.org/10.5194/hess-24-3699-2020
140. 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
141. A multisite daily rainfall generator driven by bivariate copula‐based mixed distributions F. Serinaldi https://doi.org/10.1029/2008JD011258
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144. 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
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146. 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
147. 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
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149. Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models S. Kim & V. Singh https://doi.org/10.3390/w7062707
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