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The publication "Onyutha C (2025) A multi-hydrological model ensemble prediction uncertainty estimation (e-PRUNE) framework. Hydrology Research, https://doi.org/10.2166/nh.2025.116" updated two "goodness-of-fit" metrics Revised R-squared (RRS) and Model Skill Score (MSC). These metrics allow the modeller to diagnostically identify and expose systematic issues behind model optimizations based on other ‘goodness-of-fits’ such as mean squared error. Here, the MATLAB codes for computing the updated "goodness-of-fit" metrics RRS and MSC are provided.
distance correlation, hydrological models, model performance evaluation, Nash–Sutcliffe efficiency, revised R-squared (RRS), R-squared
distance correlation, hydrological models, model performance evaluation, Nash–Sutcliffe efficiency, revised R-squared (RRS), R-squared
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