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

Data sets

PRSim: Stochastic Simulation of Streamflow Time Series using Phase Randomization M. I. Brunner and R. Furrer https://cran.r-project.org/web/packages/PRSim/index.html

USGS Water Data for the Nation, Natl. Water Inf. Syst. Web Interface USGS https://waterdata.usgs.gov/nwis

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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.