Data driven weather forecasts trained and initialised directly from observations

Skilful Machine Learned weather forecasts have challenged our approach to numerical weather prediction, demonstrating competitive performance compared to traditional physics-based approaches. Data-driven systems have been trained to forecast future weather by learning from long historical records of...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	McNally, Anthony, Lessig, Christian, Lean, Peter, Boucher, Eulalie, Alexe, Mihai, Pinnington, Ewan, Chantry, Matthew, Lang, Simon, Burrows, Chris, Chrust, Marcin, Pinault, Florian, Villeneuve, Ethel, Bormann, Niels, Healy, Sean
Format:	Artikel
Sprache:	eng
Schlagworte:	Data assimilation Initial conditions Learning Neural networks Numerical weather forecasting Parameters Physics Real time Weather forecasting
Online-Zugang:	Volltext
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