Researchers from the Massachusetts Institute of Technology (MIT) have developed a machine learning system for improved climate forecasting. The technology, which won the Sub-Seasonal Climate Forecast Rodeo competition, is designed to make predictions of temperature and precipitation anomalies weeks before they occur. The MIT team combined historical weather-pattern recognition with machine learning techniques, and managed to outperform the US government’s operational long-range forecasting system.
Researchers from the Massachusetts Institute of Technology (MIT) have developed a machine learning system for improved climate forecasting. The technology, which won the Sub-Seasonal Climate Forecast Rodeo competition, is designed to make predictions of temperature and precipitation anomalies up to six weeks before they occur. The MIT team combined historical weather-pattern recognition with machine learning techniques, and managed to outperform the US government’s operational long-range forecasting system.