runoff_multi_site_T: Sample runoff and temperature data of two catchments with a...

In PRSim: Stochastic Simulation of Streamflow Time Series using Phase Randomization

Sample runoff and temperature data of two catchments with a similar discharge regime

Description

Observed runoff data from two catchments in Switzerland.

Usage

data("runoff_multi_site_T")

Format

A list of two data frames (one list per station) of the following 5 variables.

YYYY

a numeric vector, year

MM

a numeric vector, month

DD

a numeric vector, day

Qobs

a numeric vector, observed runoff

T

a numeric vector, average temperature

Details

The data contains runoff for two Swiss gages: (i) Thur Andelfingen (FOEN 2044) and (ii) Alpbach Erstfeld (FOEN 2299).

Source

The actual discharge data were ordered from https://www.bafu.admin.ch/bafu/en/home/topics/water/state/data/obtaining-monitoring-data-on-the-topic-of-water/hydrological-data-service-for-watercourses-and-lakes.html. Temperature averages were computed from E-OBS (https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-gridded-observations-europe?tab=overview).

References

Brunner, M. I. and Eric Gilleland in preparation.

Examples

data(runoff_multi_site_T)
str(runoff_multi_site_T) 
runoff_multi_site_T[[1]]$timestamp <- paste(runoff_multi_site_T[[1]]$YYYY, 
runoff_multi_site_T[[1]]$MM, runoff_multi_site_T[[1]]$DD, sep=" ")
runoff_multi_site_T[[1]]$timestamp <- 
as.POSIXct(strptime(runoff_multi_site_T[[1]]$timestamp,format="%Y %m %d", tz="GMT"))
plot(runoff_multi_site_T[[1]]$timestamp[1:1000], runoff_multi_site_T[[1]]$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.