A hybrid ML physics model, NeuralGCM, with persisted SST and sea ice anomalies, yields skillful seasonal forecasts of tropical cyclone frequency in the North Atlantic and East Pacific (r around 0.7 over 1990-2023).
The tracking uses the vorticity-based method and does not impose any wind speed thresholds
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Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
A hybrid ML physics model, NeuralGCM, with persisted SST and sea ice anomalies, yields skillful seasonal forecasts of tropical cyclone frequency in the North Atlantic and East Pacific (r around 0.7 over 1990-2023).