Enhancing statistical reliability of weather forecasts with machine learning
Published Date: 3/4/2024
Source: phys.org
A global team of researchers has made strides in refining weather forecasting methods, with a specific focus on addressing the persistent issue of "quantile crossing." This phenomenon disrupts the order of predicted values in weather forecasts and arises from the numerical weather prediction (NWP) process—a two-step forecasting method involving observations and atmospheric evolution laws.