GenCast is published with a like-for-like comparison against an operational ensemble
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DeepMind published GenCast in Nature, reporting that it outperformed the ECMWF ensemble on 97.2% of 1,320 evaluation targets while producing a fifteen-day global forecast in about eight minutes on a single accelerator, against hours of supercomputer time. The comparison was against an operational system's own output on that system's own measures, which is a far stronger evidential position than a self-selected benchmark.
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- Machine-learned weather forecastingconcerns
- Google DeepMindconcerns
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