3 stories in this blend

An MIT led research team built an open source AI system designed to correct recurring errors made by traditional meteorological models. Placed on top of existing software, the system doubled prediction accuracy for weather conditions two to six weeks in advance.

Microsoft developed a post-processing system designed to eliminate systematic biases in existing meteorological models. In evaluations against European weather organization benchmarks, the correction technique enhanced accuracy on 98 percent of tested precipitation metrics.

Google DeepMind introduced WeatherNext 3, a forecasting model that processes live satellite observation feeds. The software improves rainfall prediction accuracy by up to 50 percent compared to conventional physics based weather systems.