These differences of around 0.1 in median NSE or KGE in both of temporal and spatial experiments are quite significant, as NSE = 1 indicates a perfect model while NSE = 0 corresponds to using the mean value as the prediction.
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From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling.
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