New Deep Learning Computer System Helps Predict Weather Changes

Rice University engineers have developed a deep learning computer system that can accurately predict extreme weather events. Rice University engineers have developed a deep learning computer system that can accurately predict extreme weather events, like heatwaves, up to five days in advance using minimal information about current weather conditions. The new network uses an analog method of weather forecasting that computers made obsolete in the 1950s. The Phys.org website reported that the system was fed hundreds of maps that show surface temperatures and air pressures at five kilometers height, and each map shows those conditions several days apart. The new system is able to make five-day forecasts of extreme weather events like heat waves or winter storms with 85 percent accuracy, the German news agency reported.