PACT introduces a peak-aware cross-attention graph transformer that emulates station-level storm surges more accurately than prior graph neural network baselines while running in seconds after training.
and Aerts, Jeroen C
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A spatio-temporal GNN model reduces storm surge water-level forecast RMSE by more than 70% for 48-hour horizons and over 50% for 72-hour horizons on U.S. Gulf Coast hurricane data.
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PACT: Peak-Aware Cross-Attention Graph Transformers for Efficient Storm-Surge Emulation
PACT introduces a peak-aware cross-attention graph transformer that emulates station-level storm surges more accurately than prior graph neural network baselines while running in seconds after training.
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StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model
A spatio-temporal GNN model reduces storm surge water-level forecast RMSE by more than 70% for 48-hour horizons and over 50% for 72-hour horizons on U.S. Gulf Coast hurricane data.