Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models
Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models
We present an ensemble prediction system using a Deep Learning Weather Prediction (DLWP) model that recursively predicts key atmospheric variables with six-hour time resolution. This model uses convolutional neural networks (CNNs) on a cubed sphere grid to produce global forecasts. The approach is computationally efficient, requiring just three minutes on …