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AI Climate Modeling: Promise, Power, and Proof Gaps
The supplied evidence does not include measured accuracy, forecast-range, or speed gains.
Compute trade-offs span training, inference hardware, energy, data, and operations.
The research brief names GraphCast, GenCast, Pangu-Weather, FourCastNet, and NeuralGCM as notable systems.
The findings identify hybrid forecasting as a way to blend climate predictions with AI models.
The supplied findings name the projects but do not provide enough detail to explain each system’s specific function.
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