Ranked Right, Sized Wrong: Ensemble Spread Fails Silently at Streamflow Extremes
Deep learning models, particularly Long Short-Term Memory networks, are increasingly used for operational streamflow forecasting, with ensemble spread providing a signal of predictive uncertainty.
By Justin Gallant, Tyler WilsonarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 16, 2026.
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