To effectively present the uncertainty of convective-scale weather forecasts, convective-scale ensemble prediction systems ...

For the Preeclampsia Integrated Estimate of RiSk (PIERS) Machine Learning (PIERS-ML) model and the logistic regression-based ...

A new evaluation method assesses the accuracy of spatial prediction techniques, outperforming traditional methods. This could help scientists make better predictions in areas like weather forecasting, ...

Among the many lessons of the Ukraine war is that traditional reactive logistics models are dangerously outdated. Russia’s ...

Researchers at Carnegie Mellon University are improving weather forecasting models so that they better represent air ...

Meteomatics has introduced its cutting-edge weather forecasting model, “US1k,” to the United States, offering businesses ...