WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
State-of-the-art AI weather models have shown impressive medium-range forecast skill and computational efficiency, but suffer two key shortcomings: their forecasts have lower spatial and temporal resolution than the best physics-based models and they are exclusively initialized with and trained on analysis data. As a r...
S. Rasp, Boris Babenko, Dominic Masters et al.
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