Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6477-2022
https://doi.org/10.5194/hess-26-6477-2022
Research article
 | 
22 Dec 2022
Research article |  | 22 Dec 2022

Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach

Arun Ramanathan, Pierre-Antoine Versini, Daniel Schertzer, Remi Perrin, Lionel Sindt, and Ioulia Tchiguirinskaia

Viewed

Total article views: 4,527 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,368 2,114 45 4,527 50 27 30
  • HTML: 2,368
  • PDF: 2,114
  • XML: 45
  • Total: 4,527
  • Supplement: 50
  • BibTeX: 27
  • EndNote: 30
Views and downloads (calculated since 22 Nov 2021)
Cumulative views and downloads (calculated since 22 Nov 2021)

Viewed (geographical distribution)

Total article views: 4,527 (including HTML, PDF, and XML) Thereof 4,294 with geography defined and 233 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Reference rainfall scenarios are indispensable for hydrological applications such as designing storm-water management infrastructure, including green roofs. Therefore, a new method is suggested for simulating rainfall scenarios of specified intensity, duration, and frequency, with realistic intermittency. Furthermore, novel comparison metrics are proposed to quantify the effectiveness of the presented simulation procedure.