10 citations as recorded by crossref.

1. Development of intensity–duration–frequency curves using sub-daily disaggregated rainfall data for flood-prone and data-scarce regions S. Nair et al. https://doi.org/10.1080/02626667.2026.2661095
2. 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
3. Rainfall simulation based on parsimonious calibration of a multifractal canonical disaggregation scheme in the Arno river basin, Italy F. Cappelli et al. https://doi.org/10.1016/j.ejrh.2025.102447
4. 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
5. Sub-daily rainfall simulation using multifractal canonical disaggregation: a parsimonious calibration strategy based on intensity-duration-frequency curves F. Cappelli et al. https://doi.org/10.1007/s00477-024-02827-8
6. Impact of different weather generator scenarios on extreme flood estimates in Switzerland E. Kritidou et al. https://doi.org/10.1007/s00477-024-02843-8
7. 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
8. Regionalization of parameters of random multiplicative cascade model for rainfall disaggregation A. Regasa & S. Tripathi https://doi.org/10.1007/s00477-026-03360-6
9. Generation of sub-daily precipitation time series anywhere in Switzerland by mapping the parameters of GWEX-MRC, an at-site weather generator K. Maloku et al. https://doi.org/10.1016/j.ejrh.2025.102454
10. Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data N. Ebers et al. https://doi.org/10.5194/nhess-24-2025-2024