Commit 752181b9 authored by Manuela's avatar Manuela

update references

parent a22a1941
......@@ -26,7 +26,7 @@ Description: Provides a simulation framework to simulate streamflow time series
A detailed description of the simulation approach for single sites
and an application example can be found in <https://www.hydrol-earth-syst-sci.net/23/3175/2019/>.
A detailed description and evaluation of the wavelet-based multi-site approach
can be found in <https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-658/>.
can be found in <https://doi.org/10.5194/hess-24-3967-2020>.
URL: https://git.math.uzh.ch/reinhard.furrer/PRSim-devel
BugReports: https://git.math.uzh.ch/reinhard.furrer/PRSim-devel
License: GPL-3
......
......@@ -26,9 +26,9 @@ prsim.wave: Simulation in the frequency domain based on the randomization of the
Maintainer: \packageMaintainer{PRSim}
}
\references{
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, doi:10.5194/hess-23-3175-2019
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, https://doi.org/10.5194/hess-23-3175-2019.
Brunner, M. I., and E. Gilleland (2020), Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrology and Earth System Sciences Discussion, https://doi.org/10.5194/hess-2019-658, in review, 2020.
Brunner, M. I., and E. Gilleland (2020). Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-24-3967-2020.
}
\keyword{ package }
\examples{
......
......@@ -44,7 +44,7 @@ When using the kappa distribution, the AD test can for certain values of the par
\item{p_val}{A vector containing the p-values of \code{ks.test} or \code{ad.test} applied to the daily detrended data (if \code{GoFtest} is not NULL)}
}
\references{
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, doi:10.5194/hess-23-3175-2019.
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, https://doi.org/10.5194/hess-23-3175-2019.
}
\author{
Manuela Brunner
......
......@@ -46,7 +46,7 @@ When using the kappa distribution, the AD test can for certain values of the par
\item{p_val}{A vector containing the p-values of \code{ks.test} or \code{ad.test} applied to the daily detrended data (if \code{GoFtest} is not NULL)}
}
\references{
Brunner, M. I., and E. Gilleland (2020), Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrology and Earth System Sciences Discussion, https://doi.org/10.5194/hess-2019-658, in review, 2020.}
Brunner, M. I., and E. Gilleland (2020). Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-24-3967-2020.}
\author{
Manuela Brunner
}
......
......@@ -26,7 +26,7 @@ The actual discharge data can be ordered from
\url{http://www.bafu.admin.ch/wasser/13462/13494/15076/index}.
}
\references{
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, doi:10.5194/hess-23-3175-2019
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, https://doi.org/10.5194/hess-23-3175-2019.
}
\examples{
data(runoff)
......
......@@ -26,7 +26,7 @@ The actual discharge data were downloaded from
\url{https://waterdata.usgs.gov/nwis}.
}
\references{
Brunner, M. I., and E. Gilleland (2020), Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrology and Earth System Sciences Discussion, https://doi.org/10.5194/hess-2019-658, in review, 2020.
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, https://doi.org/10.5194/hess-23-3175-2019.
}
\examples{
data(runoff_multi_sites)
......
......@@ -35,7 +35,7 @@ The data has been generated with
(default values for all other arguments).
}
\references{
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, doi:10.5194/hess-23-3175-2019
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, https://doi.org/10.5194/hess-23-3175-2019.
}
\examples{
data(simulations)
......
......@@ -33,7 +33,7 @@ The data has been generated with
(default values for all other arguments).
}
\references{
Brunner, M. I., and E. Gilleland (2020), Stochastic simulation of streamflow and spatial extremes: a continuous, wavelet-based approach, Hydrology and Earth System Sciences Discussion, https://doi.org/10.5194/hess-2019-658, in review, 2020.
Brunner, M. I., A. Bárdossy, and R. Furrer (2019). Technical note: Stochastic simulation of streamflow time series using phase randomization. Hydrology and Earth System Sciences, 23, 3175-3187, https://doi.org/10.5194/hess-23-3175-2019.
}
\examples{
### greys
......
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