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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Only 12 of 36 CMIP6 models reproduce both daily Lamb weather type frequencies and their 24-hour transitions over the Iberian Peninsula when compared to ERA5, with the EC-Earth3 family performing best and models struggling more in central and southern areas.
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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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Evaluating the performance of GCM trajectories using Weather Type frequencies for persistence and transitions: the Iberian Peninsula and Lamb classification
Only 12 of 36 CMIP6 models reproduce both daily Lamb weather type frequencies and their 24-hour transitions over the Iberian Peninsula when compared to ERA5, with the EC-Earth3 family performing best and models struggling more in central and southern areas.