Articles | Volume 30, issue 14
https://doi.org/10.5194/hess-30-4457-2026
https://doi.org/10.5194/hess-30-4457-2026
Research article
 | 
17 Jul 2026
Research article |  | 17 Jul 2026

Capturing the extremes: a quasi-comonotonicity-based algorithm for disaggregating daily to hourly rainfall

Carlos Correa, Alfonso Hernanz, Iván San-Felipe, and Esteban Rodríguez-Guisado

Viewed

Total article views: 3,201 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,143 818 240 3,201 631 703
  • HTML: 2,143
  • PDF: 818
  • XML: 240
  • Total: 3,201
  • BibTeX: 631
  • EndNote: 703
Views and downloads (calculated since 17 Nov 2025)
Cumulative views and downloads (calculated since 17 Nov 2025)

Viewed (geographical distribution)

Total article views: 3,201 (including HTML, PDF, and XML) Thereof 3,201 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jul 2026
Download
Short summary
Heavy rainfall over short periods can cause floods and damage in cities, yet rainfall is often only measured daily. We developed a new method to generate realistic hourly rainfall data from daily values, using information from many weather stations in Spain and the United States. Our approach reproduces extreme rainfall more accurately than existing methods, helping to improve flood risk studies, infrastructure design, and climate impact assessments.
Share