test_catchment: Stream water temperature, discharge and meteorological data...

In MoritzFeigl/wateRtemp: Water temperature prediction modelling

Description

A synthetic dataset for mean daily stream water temperature prediction. This data sets is made for testing all wateRtemp functionalities and has characteristics mimicking real world data.

Usage

data(test_catchment)

Format

A data frame with 6851 rows and 10 variables:

year

Years as integer.

month

Months as integer.

day

Days as integer.

Q

Daily mean discharge in m³/s at the gauging station of the test catchment.

P

Daily precipitation sums in mm, averaged over the whole catchment.

Ta_min

Daily minimum air temperature °C, averaged over the whole catchment.

Ta_max

Daily maximum air temperature °C, averaged over the whole catchment.

Ta

Daily mean air temperature °C, averaged over the whole catchment.

wt

Daily mean stream water temperature in °C at the gauging station of the test catchment.

GL

Daily mean global radiation in W/m², averaged over the whole catchment.

Source

Feigl, M., Lebidzinski, K., Herrnegger, M. and Schulz, K.: Machine learning methods for stream water temperature prediction

References

Feigl, M., Lebidzinski, K., Herrnegger, M. and Schulz, K.: Machine learning methods for stream water temperature prediction

Examples

data(test_catchment)
summary(test_catchment)

MoritzFeigl/wateRtemp documentation built on Sept. 6, 2021, 6:58 a.m.