Google has released an artificial intelligence (AI) model that it claims can generate accurate weather forecasts at scale — while being cheaper than conventional physics-based forecasting.
The “Scalable Ensemble Envelope Diffusion Sampler” (SEEDS) model is designed similarly to popular large language models (LLMs) like ChatGPT and generative AI tools like Sora — which generates videos from text prompts.
SEEDS generates many ensembles — or multiple weather scenarios — much quicker and cheaper than traditional predicting models can. The team described its findings in a paper published March 29 in the journal Science Advances.
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