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Keyword: tropical cyclone activity ×Clear all

2 claims from 1 paper

1. Earth and Planetary Sciences › Tropical and Extratropical Cyclones Research

   Advancing seasonal prediction of tropical cyclone activity with a hybrid AI-physics climate model

   Zhang, Rao, Yuval and Zhao · Environmental Research Letters · 2025

   The authors used Google's NeuralGCM hybrid AI-physics model to make July to November seasonal predictions of Northern Hemisphere tropical cyclone activity, and report useful skill despite simplified boundary conditions.

   Unchecked2 claims
   Show 2 claims

   1. Unchecked“With such forcings, NeuralGCM can generate 100 simulation days in ~8 minutes with a single Graphics Processing Unit (GPU), while simulating realistic atmospheric circulation and TC climatology patterns.”
   2. UncheckedIn a hybrid AI-physics model, predicted and observed hurricane counts in the North Atlantic and East Pacific correlated at about 0.7 over 1990 to 2023.“Notably, the predicted and observed TC frequency in the North Atlantic and East Pacific basins are significantly correlated during 1990 to 2023 (r=~0.7), suggesting prediction skill comparable to existing physical GCMs.”