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
Chair of Meteorology, Institute of Hydrology and Meteorology, Faculty of Environmental Sciences, TUD Dresden University of Technology, Tharandt, 01737, Germany
Chair of Meteorology, Institute of Hydrology and Meteorology, Faculty of Environmental Sciences, TUD Dresden University of Technology, Tharandt, 01737, Germany
Chair of Meteorology, Institute of Hydrology and Meteorology, Faculty of Environmental Sciences, TUD Dresden University of Technology, Tharandt, 01737, Germany
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Total article views: 4,013 (including HTML, PDF, and XML)
Thereof 3,878 with geography defined
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Total article views: 2,828 (including HTML, PDF, and XML)
Thereof 2,760 with geography defined
and 68 with unknown origin.
Total article views: 1,185 (including HTML, PDF, and XML)
Thereof 1,118 with geography defined
and 67 with unknown origin.
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...
