149 citations as recorded by crossref.

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4. A web-based pesticide risk assessment tool for drinking water protection zones in Sweden A. Lindahl et al. https://doi.org/10.1016/j.jenvman.2024.120700
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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
50. 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
51. Reproduction of temporal scaling by a rectangular pulses rainfall model J. Olsson & P. Burlando https://doi.org/10.1002/hyp.307
52. Capturing the extremes: a quasi-comonotonicity-based algorithm for disaggregating daily to hourly rainfall C. Correa et al. https://doi.org/10.5194/hess-30-4457-2026
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. Analysis and modelling of rainfall fields at different resolutions in southern Italy D. De Luca https://doi.org/10.1080/02626667.2014.926013
75. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al. https://doi.org/10.5194/npg-22-383-2015
76. 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
77. 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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82. 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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88. 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. 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
119. 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
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124. 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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126. 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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130. 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
131. Modelling pesticide leaching under climate change: parameter vs. climate input uncertainty K. Steffens et al. https://doi.org/10.5194/hess-18-479-2014
132. Multisite multivariate disaggregation of climate parameters using multiplicative random cascades A. Gaur & M. Lacasse https://doi.org/10.1016/j.uclim.2018.08.010
133. 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
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135. 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
136. A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss https://doi.org/10.5194/hess-24-3699-2020
137. 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
138. 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. 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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143. 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
144. 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
145. 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
146. Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models S. Kim & V. Singh https://doi.org/10.3390/w7062707
147. Stochastic Models of Rainfall P. Northrop https://doi.org/10.1146/annurev-statistics-040622-023838
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149. 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