Articles | Volume 24, issue 8
Hydrol. Earth Syst. Sci., 24, 3967–3982, 2020
https://doi.org/10.5194/hess-24-3967-2020
Hydrol. Earth Syst. Sci., 24, 3967–3982, 2020
https://doi.org/10.5194/hess-24-3967-2020

Research article 12 Aug 2020

Research article | 12 Aug 2020

Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach

Manuela I. Brunner and Eric Gilleland

Viewed

Total article views: 2,474 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,797 652 25 2,474 32 33
  • HTML: 1,797
  • PDF: 652
  • XML: 25
  • Total: 2,474
  • BibTeX: 32
  • EndNote: 33
Views and downloads (calculated since 14 Jan 2020)
Cumulative views and downloads (calculated since 14 Jan 2020)

Viewed (geographical distribution)

Total article views: 1,951 (including HTML, PDF, and XML) Thereof 1,902 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Dec 2021
Download
Short summary
Stochastically generated streamflow time series are used for various water management and hazard estimation applications. They provide realizations of plausible but yet unobserved streamflow time series with the same characteristics as the observed data. We propose a stochastic simulation approach in the frequency domain instead of the time domain. Our evaluation results suggest that the flexible, continuous simulation approach is valuable for a diverse range of water management applications.