Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 20
Articles | Volume 27, issue 20
https://doi.org/10.5194/hess-27-3643-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3643-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 20
Research article
 | 
18 Oct 2023
Research article |  | 18 Oct 2023

Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model

Kaltrina Maloku, Benoit Hingray, and Guillaume Evin

Viewed

Total article views: 3,682 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,768 775 139 3,682 355 170 246
  • HTML: 2,768
  • PDF: 775
  • XML: 139
  • Total: 3,682
  • Supplement: 355
  • BibTeX: 170
  • EndNote: 246
Views and downloads (calculated since 05 Apr 2023)
Cumulative views and downloads (calculated since 05 Apr 2023)

Viewed (geographical distribution)

Total article views: 3,682 (including HTML, PDF, and XML) Thereof 3,678 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 May 2026
Download
Short summary
High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Read more
Share