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

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Cited articles

Alfieri, L., Claps, P., and Laio, F.: Time-dependent Z-R relationships for estimating rainfall fields from radar measurements, Nat. Hazards Earth Syst. Sci., 10, 149–158, https://doi.org/10.5194/nhess-10-149-2010, 2010. 
Arora, V. K., Scinocca, J. F., Boer, G. J., Christian, J. R., Denman, K. L., Flato, G. M., Kharin, V. V., Lee, W. G., and Merryfield, W. J.: Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases, Geophys. Res. Lett., 38, L05805, https://doi.org/10.1029/2010GL046270, 2011. 
Barnes, S. L.: A Technique for Maximizing Details in Numerical Weather Map Analysis, J. Appl. Meteorol. Clim., 3, 396–409, https://doi.org/10.1175/1520-0450(1964)003<0396:ATFMDI>2.0.CO;2, 1964. 
Berne, A., Delrieu, G., Creutin, J.-D., and Obled, C.: Temporal and spatial resolution of rainfall measurements required for urban hydrology, J. Hydrol., 299, 166–179, https://doi.org/10.1016/j.jhydrol.2004.08.002, 2004. 
Chan, S. C., Kendon, E. J., Roberts, N. M., Fowler, H. J., and Blenkinsop, S.: The characteristics of summer sub-hourly rainfall over the southern UK in a high-resolution convective permitting model, Environ. Res. Lett., 11, 094024, https://doi.org/10.1088/1748-9326/11/9/094024, 2016. 
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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.
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