22 citations as recorded by crossref.

1. A new discrete multiplicative random cascade model for downscaling intermittent rainfall fields M. Schleiss 10.5194/hess-24-3699-2020
2. Multifractal Properties of Temporal Rainfall Series in Peninsular Malaysia S. Mariam Saad & N. Ismail 10.1088/1755-1315/616/1/012014
3. Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany B. Shehu et al. 10.5194/hess-27-1109-2023
4. 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 10.1016/j.jhydrol.2023.129478
5. The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data Q. Yang et al. 10.1016/j.catena.2025.108831
6. Precipitation Type Specific Radar Reflectivity-rain Rate Relationships for Warsaw, Poland P. Licznar & W. Krajewski 10.1515/acgeo-2016-0071
7. Future Projection of Extreme Rainfall for Flood Management due to Climate Change in an Urban Area S. Halder & U. Saha 10.1061/JSWBAY.0000954
8. Incorporating parameter dependencies into temporal downscaling of extreme rainfall using a random cascade approach N. McIntyre et al. 10.1016/j.jhydrol.2016.09.057
9. Improvement of extreme rainfall characteristics for disaggregation of rainfall using MMRC with machine learning based DBSCAN clustering algorithm D. Chowdhury & U. Saha 10.1007/s12145-024-01309-3
10. Evaluating the reliability of stormwater treatment systems under various future climate conditions K. Zhang et al. 10.1016/j.jhydrol.2018.10.056
11. Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation H. Müller-Thomy 10.5194/hess-24-169-2020
12. Unravelling spatiotemporal patterns of event-based surface rainfall-runoff response using a cellular automata approach L. Zhang et al. 10.1016/j.envsoft.2025.106623
13. Application of logistic regression to simulate the influence of rainfall genesis on storm overflow operations: a probabilistic approach B. Szeląg et al. 10.5194/hess-24-595-2020
14. Applicability of statistical and deep-learning models for rainfall disaggregation at metropolitan stations in India D. Bhattacharyya et al. 10.1016/j.ejrh.2023.101616
15. Using Probable Maximum Precipitation to Bound the Disaggregation of Rainfall N. McIntyre & A. Bárdossy 10.3390/w9070496
16. Development of cluster analysis methodology for identification of model rainfall hyetographs and its application at an urban precipitation field scale K. Mikołajewski et al. 10.1016/j.scitotenv.2022.154588
17. Disaggregation of rainfall from daily to 1-hour scale through integrated MMRC-copula modelling P. Biswas & U. Saha 10.1016/j.jhydrol.2024.132338
18. Temporal rainfall disaggregation using a multiplicative cascade model for spatial application in urban hydrology H. Müller & U. Haberlandt 10.1016/j.jhydrol.2016.01.031
19. Coupling Poisson rectangular pulse and multiplicative microcanonical random cascade models to generate sub-daily precipitation timeseries I. Pohle et al. 10.1016/j.jhydrol.2018.04.063
20. Prioritizing neighborhoods for intervention to mitigate urban small disasters triggered by rainfall C. Canon-Barriga et al. 10.1080/1573062X.2022.2026981
21. Rainfall Generation Revisited: Introducing CoSMoS‐2s and Advancing Copula‐Based Intermittent Time Series Modeling S. Papalexiou 10.1029/2021WR031641
22. Scaling and intermittency in time of urban precipitation in Warsaw, Poland D. Dżugaj et al. 10.1016/j.ejrh.2023.101440