Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 2
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.
https://doi.org/10.5194/hess-28-391-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 2
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

Viewed

Total article views: 1,564 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,099 409 56 1,564 42 54
  • HTML: 1,099
  • PDF: 409
  • XML: 56
  • Total: 1,564
  • BibTeX: 42
  • EndNote: 54
Views and downloads (calculated since 26 May 2023)
Cumulative views and downloads (calculated since 26 May 2023)

Viewed (geographical distribution)

Total article views: 1,564 (including HTML, PDF, and XML) Thereof 1,483 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
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.
Read more