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Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models
The current state-of-the-art in numerical weather prediction (NWP) is to generate probabilistic forecasts using large ensembles consisting of equally-likely realizations of future weather. Such large ensembles, however, require significant computational resources. I have developed a purely data-driven weather prediction model ...