runoff: Sample runoff of a catchment
In PRSim: Stochastic Simulation of Streamflow Time Series using Phase Randomization

runoff

R Documentation

Sample runoff of a catchment

Description

Artifical runoff data based on actual and simulated observations.

Usage

data("runoff")

Format

A data frame with 15695 observations of the following 4 variables.

YYYY: a numeric vector, year
MM: a numeric vector, month
DD: a numeric vector, day
Qobs: a numeric vector, synthetic observed runoff

Details

The data mimiks the runoff of the river Plessur at the gauging station Chur, Switzerland. The the flow regime of the river is melt dominated. More information is given in the reference below.

Source

The provided data is a weighted average of the acutually observed values and a particular simulated runoff. The actual discharge data can be ordered from 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, https://doi.org/10.5194/hess-23-3175-2019.

Examples

data(runoff)
str(runoff) 
runoff$timestamp <- paste(runoff$YYYY, runoff$MM, runoff$DD, sep=" ")
runoff$timestamp <- as.POSIXct(strptime(runoff$timestamp,
                                 format="%Y %m %d", tz="GMT"))
plot(runoff$timestamp[1:1000], runoff$Qobs[1:1000], type="l", 
  xlab="Time [d]", ylab=expression(paste("Discharge [m"^3,"/s]")))

PRSim documentation built on Sept. 19, 2023, 5:07 p.m.