Quantification of Data and Model Uncertainty for Deep Learning-based Streamflow Prediction
This paper demonstrates that an integrated approach to uncertainty quantification enhances both the prediction accuracy and the explainability of ensemble streamflow 20 predictions, and provides a foundation for “uncertainty - aware” deep learning -based streamflow prediction.
Kaidi Peng, Daniel B. Wright, Lei Yan et al.
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