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physics.ao-ph2024★ 16 cited
Uncertainty quantification for data-driven weather models
Christopher Bülte, Nina Horat, Julian Quinting +1
Artificial intelligence (AI)-based data-driven weather forecasting models have experienced rapid progress over the last years. Recent studies, with models trained on reanalysis dat…
physics.ao-ph2023★ 5 cited
Deep learning for post-processing global probabilistic forecasts on sub-seasonal time scales
Nina Horat, Sebastian Lerch
Sub-seasonal weather forecasts are becoming increasingly important for a range of socio-economic activities. However, the predictive ability of physical weather models is very limi…