Articles | Volume 19, issue 19
https://doi.org/10.5194/gmd-19-9489-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
07 Oct 2026
Development and technical paper |
| 07 Oct 2026
| 07 Oct 2026
Virtual Rain v1.0: a unified toolkit for high-resolution rainfall simulation and disaggregation
Related authors
Proc. IAHS, 385, 501–511, 2025
Cited articles
Cappelli, F. and Grimaldi, S.: Methodological developments of the CoSMoS framework for the statistical modeling of precipitation time series, in: Statistical Science: From Theory to Applied Research II, edited by: Martella, F., Arima, S., Marino, M. F., and Mollica, C., Italian Statistical Society Series on Advances in Statistics, Springer, Cham, https://doi.org/10.1007/978-3-032-30877-1_75, 2026.
Cappelli, F., Papalexiou, S. M., Markonis, Y., and Grimaldi, S.: PyCoSMoS: An advanced toolbox for simulating real-world hydroclimatic data, Environ. Model. Softw., 178, 106076, https://doi.org/10.1016/j.envsoft.2024.106076, 2024.
Cappelli, F., Volpi, E., Langousis, A., Deidda, R., Perdios, A., Furcolo, P., and Grimaldi, S.: Sub-daily rainfall simulation using multifractal canonical disaggregation: A parsimonious calibration strategy based on intensity–duration–frequency curves, Stoch. Environ. Res. Risk Assess., 39, 1–19, https://doi.org/10.1007/s00477-024-02827-8, 2025a.
Cappelli, F., Volpi, E., Langousis, A., Deidda, R., Perdios, A., and Grimaldi, S.: Rainfall simulation based on parsimonious calibration of a multifractal canonical disaggregation scheme in the Arno River Basin, Italy, J. Hydrol. Reg. Stud., 59, 102447, https://doi.org/10.1016/j.ejrh.2025.102447, 2025b.
Cappelli, F., Volpi, E., Langousis, A., Papalexiou, S. M., Deidda, R., Perdios, A., and Grimaldi, S.: Simulating sub-daily rainfall time series in the absence of sub-daily observations, J. Hydrol., 675, 135660, https://doi.org/10.1016/j.jhydrol.2026.135660, 2026a.
