PRSim: Stochastic Simulation of Streamflow Time Series using Phase Randomization

Provides a simulation framework to simulate streamflow time series with similar main characteristics as observed data. These characteristics include the distribution of daily streamflow values and their temporal correlation as expressed by short- and long-range dependence. The approach is based on the randomization of the phases of the Fourier transform. We further use the flexible four-parameter Kappa distribution, which allows for the extrapolation to yet unobserved low and high flows.

Package details

AuthorManuela Brunner [aut, cre] (<>), Reinhard Furrer [aut] (<>)
MaintainerManuela Brunner <[email protected]>
Package repositoryView on CRAN
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PRSim documentation built on May 2, 2019, 1:40 p.m.