 The Nash-Sutcliff efficiency, NSE, and Kling-Gupta efficiency, KGE, are two commonly used metrics in hydrological modeling. NSE measures how well a model performs compared to the observed data, while KGE measures how well a model performs compared to a benchmark. Both metrics have limitations, however, as they do not take into account the variability of the data or the accuracy of the model predictions. As such, it is important to understand the differences between these two metrics and to consider other evaluation methods when assessing the performance of a hydrologic model. This article was authored by W. J. M. Nobin, W. J. M. Nobin, J. E. Freer, and others.