Attempts to more accurately forecast weather are beginning to use machine learning technology – or artificial intelligence – more extensively. Historical forecasts and observations are used to train machine learning models to find past forecasts that are most similar to a current target forecast. These past observations are used as inputs to generate ensemble forecasts...