Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 24
Articles | Volume 26, issue 24
https://doi.org/10.5194/hess-26-6477-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-6477-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 24
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: 4,389 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,277 2,074 38 4,389 46 20 19
  • HTML: 2,277
  • PDF: 2,074
  • XML: 38
  • Total: 4,389
  • Supplement: 46
  • BibTeX: 20
  • EndNote: 19
Views and downloads (calculated since 22 Nov 2021)
Cumulative views and downloads (calculated since 22 Nov 2021)

Viewed (geographical distribution)

Total article views: 4,389 (including HTML, PDF, and XML) Thereof 4,160 with geography defined and 229 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 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.
Read more