Active learning with surrogate models identifies storm-tide producing tropical cyclones in a large downscaled catalog with high precision and far fewer hydrodynamic simulations than batch training.
From these predictions, TCs exceeding the dam- age threshold (e.g., > 3 meters) are ranked based on their destructiveness
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LASSE: Learning Active Sampling for Storm Tide Extremes in Non-Stationary Climate Regimes
Active learning with surrogate models identifies storm-tide producing tropical cyclones in a large downscaled catalog with high precision and far fewer hydrodynamic simulations than batch training.