Improving the Accuracy of Weather Forecasting with Deep Learning - HPCwire

An old joke claims that meteorology is the only profession where you can be wrong half of the time and still get paid. It's a true and sometimes frustrating reality that weather forecasts are not always 100 percent accurate. Sometimes this is due to a weather system that changed rapidly or unexpectedly. But incorrect predictions can also result from errors, inefficiencies, or lack of quality data in weather forecasting models. Using computer models to simulate and predict the weather, known as Numerical Weather Prediction, is still not a perfect science, but recent advancements in computing technologies combined with the growing availability of weather-related data has served to dramatically improve the accuracy of forecasts.