Batched neural-network 4D-Var improves ECMWF hybrid forecasts out of sample
Sequential online training cut errors by more than 10% in-period but failed to generalize; batching did.
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Sequential online training cut errors by more than 10% in-period but failed to generalize; batching did.

Microsoft open-sourced Probabilistic Bias Correction, a CPU-friendly method that improves forecasts two to six weeks ahead.

WindBorne won a US Air Force contract worth up to $49 million for autonomous weather-balloon data.
ScaleCast aligns pretrained global weather models with kilometer-scale regional forecasts without retraining per driver.
CLARA learns joint probabilistic surface-weather forecasts from station observations without numerical weather models.

Google launched WeatherNext 3, an AI weather model using raw satellite data that beats ECMWF and now powers Search, Gemini, and Maps.
Google DeepMind launches WeatherNext 3, an AI weather model delivering hourly 5-km forecasts from live satellite data, now integrated across Google products.
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