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HESS | Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4583–4591, 2018
https://doi.org/10.5194/hess-22-4583-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 4583–4591, 2018
https://doi.org/10.5194/hess-22-4583-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Technical note 30 Aug 2018

Technical note | 30 Aug 2018

Technical note: Pitfalls in using log-transformed flows within the KGE criterion

Léonard Santos et al.

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Cited articles

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De Vos, N. J. and Rientjes, T. H. M.: Multi-objective performance comparison of an artificial neural network and a conceptual rainfall-runoff model, Hydrol. Sci. J., 52, 397–413, https://doi.org/10.1623/hysj.52.3.397, 2010. a
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The Kling and Gupta efficiency (KGE) is a score used in hydrology to evaluate flow simulation compared to observations. In order to force the evaluation on the low flows, some authors used the log-transformed flow to calculate the KGE. In this technical note, we show that this transformation should be avoided because it produced numerical flaws that lead to difficulties in the score value interpretation.
The Kling and Gupta efficiency (KGE) is a score used in hydrology to evaluate flow simulation...
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