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The invention describes a new and improved weather forecasting model which utilizes neural networks to execute equations which use timed inputs from current weather forecasting models to produce more accurate weather predictions. By innovatively combining several independent techniques through Machine Learning (ML), the LEARN2 decision support tool can improve heavy precipitation forecast skill in Week 1 and extend the duration of skillful forecasts two additional days into Week 2, as measured by accuracy and precision against verification observations—beyond that presently available from today's operational GFS and GEFS predictions alone. The LEARN2 predictions, while based upon the precipitation and atmospheric field forecasts of the GFS or GEFS, add in three significant additional information sources:(1) remotely sensed satellite observations untainted by the data assimilation analyses …