Articles | Volume 23, issue 10
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, Jim E. Freer, and Ross A. Woods

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

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.