Articles | Volume 28, issue 2
https://doi.org/10.5194/hess-28-391-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-391-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2024
Research article |
| 31 Jan 2024
| 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
CORRESPONDING AUTHOR
Chair of Meteorology, Institute of Hydrology and Meteorology, Faculty of Environmental Sciences, TUD Dresden University of Technology, Tharandt, 01737, Germany
Jeongha Park
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Hongik University, Seoul 04066, South Korea
Dongkyun Kim
Department of Civil and Environmental Engineering, Hongik University, Seoul 04066, South Korea
Klemens Barfus
Chair of Meteorology, Institute of Hydrology and Meteorology, Faculty of Environmental Sciences, TUD Dresden University of Technology, Tharandt, 01737, Germany
Rico Kronenberg
Chair of Meteorology, Institute of Hydrology and Meteorology, Faculty of Environmental Sciences, TUD Dresden University of Technology, Tharandt, 01737, Germany
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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.
High-resolution precipitation data are often a “must” as input for hydrological and hydraulic...
