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Technical note: Pitfalls in using log-transformed flows within the KGE criterion
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Abstract
Log-transformed discharge is often used to calculate performance criteria to better focus on low flows. This prior transformation limits the heteroscedasticity of model residuals and was largely applied in criteria based on squared residuals, like the Nash–Sutcliffe efficiency (NSE). In the recent years, NSE has been shown to have mathematical limitations and the Kling–Gupta efficiency (KGE) was proposed as an alternative to provide more balance between the expected qualities of a model (namely representing the water balance, flow variability and correlation). As in the case of NSE, several authors used the KGE criterion (or its improved version KGE ′ ) with a prior logarithmic transformation on flows. However, we show that the use of this transformation is not adapted to the case of the KGE (or KGE ′ ) criterion and may lead to several numerical issues, potentially resulting in a biased evaluation of model performance. We present the theoretical underpinning aspects of these issues and concrete modelling examples, showing that KGE ′ computed on log-transformed flows should be avoided. Alternatives are discussed.
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“For example, the values of KGE 0 depend on the units of measurement (e.g., Santos et al., 2018)”
From SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018 (2020) · cites this paper as Santos et al., 2018
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“Moreover, and critical to our analysis, the normalization used in the KGE 0 formula ( and ) means that the KGE 0 values are low when the denominators of and are close to 0 (e.g., Santos et al., 2018).”
From SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018 (2020) · cites this paper as Santos et al., 2018
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Sorted by citations
SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018
Tang, G., Clark, M. P., Newman, A. J., Wood, A. W., Papalexiou, S. M., Vionnet, V., & Whitfield, P. H. (2020) · Earth System Science Data · doi:10.5194/essd-12-2381-2020 · Cited by 82
Metadata
- Authors
- Santos, L., Thirel, G., & Perrin, C.
- Affiliations
- Hydrosystèmes continentaux anthropisés : ressources, risques, restauration (FR)
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2018-08-30
- Volume
- 22
- Issue
- 8
- Pages
- 4583-4591
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W2806387338
- Cited by
- 148
- References
- 0
- Citations by year
- 2026: 22 · 2025: 18 · 2024: 24 · 2023: 17 · 2022: 15 · 2021: 28 · 2020: 16 · 2019: 5 · 2018: 3
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Hydrology and earth system sciences (publishedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Cemadoc (Cemagref / IRSTEA) (submittedVersion)
- Biogeosciences (European Geosciences Union) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Environmental Engineering › Hydrological Forecasting Using AI
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Monitoring and Data Management
- Keywords
- Kling-Gupta efficiency, Nash-Sutcliffe efficiency, model evaluation, low flow, heteroscedasticity, model residuals, hydrological model calibration, Køge
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- Santos, L., Thirel, G., & Perrin, C. (2018). Technical note: Pitfalls in using log-transformed flows within the KGE criterion. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-22-4583-2018