A graph-neural-network weather model trained only on raw observations produces skillful global forecasts out to five days, with tropical 2-meter temperature forecasts competitive with the operational IFS.
IFS Documentation CY48R1 - P art II : Data Assimilation
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GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations
A graph-neural-network weather model trained only on raw observations produces skillful global forecasts out to five days, with tropical 2-meter temperature forecasts competitive with the operational IFS.