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

Data sets

Dataset and scripts to reproduce the results presented in the paper "Capturing the extremes: a quasi-comonotonicity-based algorithm for disaggregating daily to hourly rainfall" Carlos Correa https://doi.org/10.5281/zenodo.20926916

Model code and software

pyqcoda: v1.0.4 Carlos Correa https://doi.org/10.5281/zenodo.19819042

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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.
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