Statistics

Econometrics

Calibration

Computer science

Estimator

Mathematics

Statistic

Sampling (signal processing)

Computer vision

Filter (signal processing)

Bayesian information criterion

Journal of Hydrology

Performance criteria are essential for hydrological model identification or its parameters estimation. The Kling-Gupta efficiency (KGE), which combines the three components of Nash-Sutcliffe efficiency (NSE) of model errors (i.e. correlation, bias, ratio of variances or coefficients of variation) in a more balanced way, has been widely used for calibration and evaluation hydrological models in recent years. However, the KGE does not take a reference forecasts or simulation into account and still underestimates of variability of flow time series when optimizing its value for hydrological model. In this study, we propose another performance criterion as an efficiency measure through reformulating the previous three components of NSE. Moreover, the distribution function of the new criterion was also derived to analyze uncertainties of the new criterion, which is originated from the distinction between the theoretical or population statistic and its corresponding sampling properties. The proposed criterion was te...

A rational performance criterion for hydrological model