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