Articles | Volume 28, issue 2
https://doi.org/10.5194/hess-28-391-2024
https://doi.org/10.5194/hess-28-391-2024
Research article
 | 
31 Jan 2024
Research article |  | 31 Jan 2024

Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models: case studies from Germany and South Korea

Ivan Vorobevskii, Jeongha Park, Dongkyun Kim, Klemens Barfus, and Rico Kronenberg

Data sets

Supplement materials for publication: Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models - case studies from Germany and South Korea I. Vorobevskii https://doi.org/10.4211/hs.9322e1ef25e04822a759c515795642e1

Model code and software

WayDown source code I. Vorobevskii https://doi.org/10.5281/zenodo.10559432

Let It Rain Desktop 1.0 D. Kim https://doi.org/10.5281/zenodo.10560108

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Short summary
High-resolution precipitation data are often a “must” as input for hydrological and hydraulic models (i.e. urban drainage modelling). However, station or climate projection data usually do not provide the required (e.g. sub-hourly)  resolution. In the work, we present two new statistical models of different types to disaggregate precipitation from a daily to a 10  min scale. Both models were validated using radar data and then applied to climate models for 10 stations in Germany and South Korea.