GOF_kling_gupta_efficiency function

Calculate Kling--Gupta Efficiency (KGE)

Calculate Kling--Gupta Efficiency (KGE) (or modified KGE ('KGE)) between modeled (simulated) and observed values.

GOF_kling_gupta_efficiency(mod, obs, modified = FALSE, na.rm = TRUE)

Arguments

• mod: 'numeric' vector. Modeled or simulated values. Must be same length as obs.
• obs: 'numeric' vector. Observed or comparison values. Must be same length as mod.
• modified: 'boolean' TRUE or FALSE. Should the KGE calculation use the original variability ratio in the standard deviations (see Gupta and others, 2009) (modified = FALSE) or the modified variability ratio in the coefficient of variations (see Kling and others, 2012) (modified = TRUE). Default is FALSE.
• na.rm: 'boolean' TRUE or FALSE. Should NA values be removed before computing. If any NA values are present in mod or obs, the ith position from each will be removed before calculating. If NA values are present and na.rm = FALSE, then function will return NA. Default is TRUE.

Returns

Value of computed KGE or 'KGE.

Examples

GOF_kling_gupta_efficiency(
  mod = example_mod$streamflow_cfs, obs = example_obs$streamflow_cfs
)

References

Kling, H., Fuchs, M. and Paulin, M., 2012. Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios: Journal of Hydrology, v. 424-425, p. 264-277.

[Also available at https://doi.org/10.1016/j.jhydrol.2012.01.011.]

Gupta, H.V., Kling, H., Yilmaz, K.K., and Martinez, G.G., 2009. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling: Journal of Hydrology, v. 377, no.1-2, p. 80-91.

[Also available at https://doi.org/10.1016/j.jhydrol.2009.08.003.]