Articles | Volume 27, issue 9
https://doi.org/10.5194/hess-27-1827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A signal-processing-based interpretation of the Nash–Sutcliffe efficiency
Institute of Engineering Innovation, University of Tokyo, Tokyo 113-8656, Japan
Department of Observation and Data Assimilation Research, Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan
Yohei Sawada
Institute of Engineering Innovation, University of Tokyo, Tokyo 113-8656, Japan
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Saved (final revised paper)
Latest update: 28 Apr 2026
Short summary
The Nash–Sutcliffe efficiency (NSE) is a widely used score in hydrology, but it is not common in the other environmental sciences. One of the reasons for its unpopularity is that its scientific meaning is somehow unclear in the literature. This study attempts to establish a solid foundation for NSE from the viewpoint of signal progressing. This approach is shown to yield profound explanations to many open problems related to NSE. A generalized NSE that can be used in general cases is proposed.
The Nash–Sutcliffe efficiency (NSE) is a widely used score in hydrology, but it is not common in...