Articles | Volume 20, issue 4
Hydrol. Earth Syst. Sci., 20, 1387–1403, 2016
https://doi.org/10.5194/hess-20-1387-2016
Hydrol. Earth Syst. Sci., 20, 1387–1403, 2016
https://doi.org/10.5194/hess-20-1387-2016
Research article
08 Apr 2016
Research article | 08 Apr 2016

Downscaling future precipitation extremes to urban hydrology scales using a spatio-temporal Neyman–Scott weather generator

Hjalte Jomo Danielsen Sørup et al.

Viewed

Total article views: 2,755 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,379 1,109 267 2,755 257 82 93
  • HTML: 1,379
  • PDF: 1,109
  • XML: 267
  • Total: 2,755
  • Supplement: 257
  • BibTeX: 82
  • EndNote: 93
Views and downloads (calculated since 27 Feb 2015)
Cumulative views and downloads (calculated since 27 Feb 2015)

Cited

Saved (preprint)

Latest update: 09 Aug 2022
Download
Short summary
Fine-resolution spatio-temporal precipitation data are important as input to urban hydrological models to assess performance issues under all possible conditions. In the present study synthetic data at very fine spatial and temporal resolution are generated using a stochastic model. Data are generated for both present and future climate conditions. The results show that it is possible to generate spatially distributed data at resolutions relevant for urban hydrology.