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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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  • IF value: 4.936 IF 4.936
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HESS | Articles | Volume 23, issue 10
Hydrol. Earth Syst. Sci., 23, 4323–4331, 2019
https://doi.org/10.5194/hess-23-4323-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 4323–4331, 2019
https://doi.org/10.5194/hess-23-4323-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Technical note 25 Oct 2019

Technical note | 25 Oct 2019

Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores

Wouter J. M. Knoben et al.
Data sets

The CAMELS data set: catchment attributes and meteorology for large-sample studies. version 2.0 N. Addor, A. J. Newman, N. Mizukami, and M. P. Clark https://doi.org/10.5065/D6G73C3Q

Publications Copernicus
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Short summary
The accuracy of model simulations can be quantified with so-called efficiency metrics. The Nash–Sutcliffe efficiency (NSE) has been often used in hydrology, but recently the Kling–Gupta efficiency (KGE) is gaining in popularity. We show that lessons learned about which NSE scores are acceptable do not necessarily translate well into understanding of the KGE metric.
The accuracy of model simulations can be quantified with so-called efficiency metrics. The...
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