146 citations as recorded by crossref.

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50. Reproduction of temporal scaling by a rectangular pulses rainfall model J. Olsson & P. Burlando https://doi.org/10.1002/hyp.307
51. 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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54. 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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71. 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
72. Analysis and modelling of rainfall fields at different resolutions in southern Italy D. De Luca https://doi.org/10.1080/02626667.2014.926013
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75. 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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80. 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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115. 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
116. 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
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118. 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
119. 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
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122. Estimating annual precipitation for the Colorado River Basin using oceanic‐atmospheric oscillations A. Kalra & S. Ahmad https://doi.org/10.1029/2011WR010667
123. Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall N. McIntyre & A. Bárdossy https://doi.org/10.3390/w9070496
124. 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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127. Spatiotemporal assessment of the PERSIANN family of satellite precipitation data over Fars Province, Iran N. Salmani-Dehaghi & N. Samani https://doi.org/10.1007/s00704-019-02872-2
128. 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
129. Modelling pesticide leaching under climate change: parameter vs. climate input uncertainty K. Steffens et al. https://doi.org/10.5194/hess-18-479-2014
130. Multisite multivariate disaggregation of climate parameters using multiplicative random cascades A. Gaur & M. Lacasse https://doi.org/10.1016/j.uclim.2018.08.010
131. 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
132. 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
133. A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss https://doi.org/10.5194/hess-24-3699-2020
134. 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
135. A multisite daily rainfall generator driven by bivariate copula‐based mixed distributions F. Serinaldi https://doi.org/10.1029/2008JD011258
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137. Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model K. Maloku et al. https://doi.org/10.5194/hess-27-3643-2023
138. 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
139. 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
140. 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
141. 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
142. 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
143. Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models S. Kim & V. Singh https://doi.org/10.3390/w7062707
144. Stochastic Models of Rainfall P. Northrop https://doi.org/10.1146/annurev-statistics-040622-023838
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146. 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