HydroTFT is presented, an attention-based rainfall–runoff model based on the Temporal Fusion Transformer that performs multi-horizon streamflow prediction using only antecedent meteorological forcings, static catchment attributes, and hydrologically informed engineered features and provides an accurate, interpretable,...
Evaluating ecological time series is critical for benchmarking model performance in many important applications, including predicting greenhouse gas fluxes, tracking soil moisture and soil–atmosphere interactions, and monitoring hydrological cycles. Traditional numerical metrics (e.g., R-squared, root mean square error...
Qi Cheng, Licheng Liu, Yixuan Chen et al.· Proceedings of the 32nd ACM...· 0 citations
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