calibrationQuality-RPhosFate-method function

Calibration quality

Assesses the model's calibration quality with the help of the pairwise complete modelled as well as observed loads and the following metrics:

• NSE: Nash-Sutcliffe Efficiency
• mNSE: Modified Nash-Sutcliffe Efficiency (j = 1)
• KGE: Modified Kling-Gupta Efficiency
• RMSE: Root Mean Square Error
• PBIAS: Percent Bias
• RSR: Ratio of the RMSE to the standard deviation of the observations
• RCV: Ratio of the coefficients of variation
• GMRAE: Geometric Mean Relative Absolute Error
• MdRAE: Median Relative Absolute Error

In addition, a scatter plot with the observed river loads on the x- and the modelled river loads on the y-axis is displayed and provides a visual impression of the model performance. Other elements of this plot are an identity line (solid) and plus/minus 30% deviation lines (dashed).

## S4 method for signature 'RPhosFate'
calibrationQuality(x, substance, col)

Arguments

• x: An S4 RPhosFate river catchment object.
• substance: A character string specifying the substance to calculate.
• col: A character string specifying the calibration data column with the respective substance river loads.

Returns

A named numeric vector containing the assessed metrics along with the in-channel retention ratio (one minus sum of xxt at catchment outlet(s) divided by sum of xxt_inp).

Examples

# temporary demonstration project copy
cv_dir <- demoProject()
# load temporary demonstration project
x <- RPhosFate(
  cv_dir = cv_dir,
  ls_ini = TRUE
)
# presupposed method calls
x <- firstRun(x, "SS")
x <- snapGauges(x)

calibrationQuality(x, "SS", "SS_load")

References

Nash, J.E., Sutcliffe, J.V., 1970. River flow forecasting throughconceptual models part I – a discussion of principles. Journal ofHydrology 10, 282–290. https://doi.org/10.1016/0022-1694(70)90255-6

Legates, D.R., McCabe Jr., G.J., 1999. Evaluating the use of“goodness-of-fit” measures in hydrologic and hydroclimatic modelvalidation. Water Resources Research 35, 233–241.https://doi.org/10.1029/1998WR900018

Kling, H., Fuchs, M., Paulin, M., 2012. Runoff conditions in the upperDanube basin under an ensemble of climate change scenarios. Journal ofHydrology 424–425, 264–277.https://doi.org/10.1016/j.jhydrol.2012.01.011

Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel,R.D., Veith, T.L., 2007. Model evaluation guidelines for systematicquantification of accuracy in watershed simulations. Transactions ofthe ASABE 50, 885–900.

See Also

snapGauges, autoCalibrate, autoCalibrate2