Articles | Volume 27, issue 9
https://doi.org/10.5194/hess-27-1827-2023
https://doi.org/10.5194/hess-27-1827-2023
Research article
 | 
09 May 2023
Research article |  | 09 May 2023

A signal-processing-based interpretation of the Nash–Sutcliffe efficiency

Le Duc and Yohei Sawada

Related authors

Global assessment of subnational drought impact based on the Geocoded Disasters dataset and land reanalysis
Yuya Kageyama and Yohei Sawada
Hydrol. Earth Syst. Sci., 26, 4707–4720, https://doi.org/10.5194/hess-26-4707-2022,https://doi.org/10.5194/hess-26-4707-2022, 2022
Short summary
Impact of cry wolf effects on social preparedness and the efficiency of flood early warning systems
Yohei Sawada, Rin Kanai, and Hitomu Kotani
Hydrol. Earth Syst. Sci., 26, 4265–4278, https://doi.org/10.5194/hess-26-4265-2022,https://doi.org/10.5194/hess-26-4265-2022, 2022
Short summary
Combining ensemble Kalman filter and reservoir computing to predict spatiotemporal chaotic systems from imperfect observations and models
Futo Tomizawa and Yohei Sawada
Geosci. Model Dev., 14, 5623–5635, https://doi.org/10.5194/gmd-14-5623-2021,https://doi.org/10.5194/gmd-14-5623-2021, 2021
Short summary
Socio-hydrological data assimilation: analyzing human–flood interactions by model–data integration
Yohei Sawada and Risa Hanazaki
Hydrol. Earth Syst. Sci., 24, 4777–4791, https://doi.org/10.5194/hess-24-4777-2020,https://doi.org/10.5194/hess-24-4777-2020, 2020
Short summary
Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?
Yohei Sawada
Hydrol. Earth Syst. Sci., 24, 3881–3898, https://doi.org/10.5194/hess-24-3881-2020,https://doi.org/10.5194/hess-24-3881-2020, 2020
Short summary

Related subject area

Subject: Engineering Hydrology | Techniques and Approaches: Theory development
Impact of cry wolf effects on social preparedness and the efficiency of flood early warning systems
Yohei Sawada, Rin Kanai, and Hitomu Kotani
Hydrol. Earth Syst. Sci., 26, 4265–4278, https://doi.org/10.5194/hess-26-4265-2022,https://doi.org/10.5194/hess-26-4265-2022, 2022
Short summary
Impact of detention dams on the probability distribution of floods
Salvatore Manfreda, Domenico Miglino, and Cinzia Albertini
Hydrol. Earth Syst. Sci., 25, 4231–4242, https://doi.org/10.5194/hess-25-4231-2021,https://doi.org/10.5194/hess-25-4231-2021, 2021
Short summary
Hess Opinions: An interdisciplinary research agenda to explore the unintended consequences of structural flood protection
Giuliano Di Baldassarre, Heidi Kreibich, Sergiy Vorogushyn, Jeroen Aerts, Karsten Arnbjerg-Nielsen, Marlies Barendrecht, Paul Bates, Marco Borga, Wouter Botzen, Philip Bubeck, Bruna De Marchi, Carmen Llasat, Maurizio Mazzoleni, Daniela Molinari, Elena Mondino, Johanna Mård, Olga Petrucci, Anna Scolobig, Alberto Viglione, and Philip J. Ward
Hydrol. Earth Syst. Sci., 22, 5629–5637, https://doi.org/10.5194/hess-22-5629-2018,https://doi.org/10.5194/hess-22-5629-2018, 2018
Short summary
Managing uncertainty in flood protection planning with climate projections
Beatrice Dittes, Olga Špačková, Lukas Schoppa, and Daniel Straub
Hydrol. Earth Syst. Sci., 22, 2511–2526, https://doi.org/10.5194/hess-22-2511-2018,https://doi.org/10.5194/hess-22-2511-2018, 2018
Short summary
A physical approach on flood risk vulnerability of buildings
B. Mazzorana, S. Simoni, C. Scherer, B. Gems, S. Fuchs, and M. Keiler
Hydrol. Earth Syst. Sci., 18, 3817–3836, https://doi.org/10.5194/hess-18-3817-2014,https://doi.org/10.5194/hess-18-3817-2014, 2014

Cited articles

Andersson, J. C. M., Arheimer, B., Traoré, F., Gustafsson, D., and Ali, A.: Process refinements improve a hydrological model concept applied to the Niger River basin, Hydrol. Process., 31, 4540–4554, https://doi.org/10.1002/hyp.11376, 2017. 
ASCE: Criteria for evaluation of watershed models, J. Irrig. Drain. Eng., 119, 429–442, 1993. 
Beven, K. J. and Binley, A. M.: The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, 1992. 
Bishop, C. M.: Pattern Recognition and Machine Learning, Springer, New York, ISBN 978-0-387-31073-2, 2006. 
Ding, J. Y.: Variable unit hydrograph, J. Hydrol., 22, 53–69, 1974. 
Download
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.