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Deterministic weather models can match dedicated probabilistic ensembles within 0.04–0.13 CRPSS at a 10-day lead time simply by perturbing raw network weights at inference without any retraining.
Machine learning isn't just improving weather predictions; it's demanding a complete overhaul of how we develop and deliver forecasting services.