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

Machine learning (ML) models are successful with weather forecasting and have shown progress in climate simulations, yet leveraging them for useful climate predictions needs exploration. Here we show this feasibility using neural general circulation model (NeuralGCM), a hybrid ML-physics atmospheric...

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Bibliographic Details
Main Authors: Gan Zhang, Megha Rao, Janni Yuval, Ming Zhao
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Letters
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Online Access:https://doi.org/10.1088/1748-9326/adf864
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