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Kling-Gupta efficiency

This goodness-of-fit measure was developed by Gupta et al. (2009) to provide a diagnostically interesting decomposition of the Nash-Sutcliffe efficiency (and hence MSE), which facilitates the analysis of the relative importance of its different components (correlation, bias and variability) in the context of hydrological modelling Kling et al. (2012), proposed a revised version of this index, to ensure that the bias and variability ratios are not cross-correlated.

Kling-Gupta efficiency

where CC is the Pearson coefficient value and cm is the average of observed values and rm is average of forecast values and cd is standard deviation of observation values and rd is standard deviation of forecast values.


Paste 2-columns data here (obs vs. sim). In format of excel, text, etc. Separate it with space:


Kling-Gupta efficiency:

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