Integrated Gradients (IG) analysis shows that the model learns physically coherent spatial behavior, highlighting grid cells near the outlet and identifying dominant meteorological drivers of peak runoff events, and outline a pathway toward interpretable, large‐scale streamflow prediction.
Jin-Yang Li, Kuo-Lin Hsu, S. Sorooshian et al.· Water Resources Research· 1 citation
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,...
A novel super‐resolution framework based on an Implicit Neural Representation (INR) to enhance 3D ERT inversion resolution beyond that achievable with standard Gauss‐Newton techniques and demonstrate improved apparent‐resistivity prediction using INR.
Yu-Sen Yuan, K. Carroll, Hui-Chao Yin et al.· Journal of Geophysical Resea...· 0 citations
STORM is introduced, a one-stage generative AI framework that reformulates DA as diffusion-based Bayesian posterior sampling, replacing online PDE ensemble forecasts with scalable AI inference, enabling high-resolution, long-context Earth modeling and demonstrating improved accuracy.
Xiao Wang, Ze-Zhong Zhang, Isaac Lyngaas et al.· arXiv.org· 1 citation
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