Thursday 6 February 2020
Researchers from Rice University have developed a deep learning system that can predict deadly heat waves and winter storms before they happen. The system was trained on hundreds of pairs of maps that showed surface temperatures and air pressures. These included the hot and cold spells that typically lead to extreme weather events. Each pair showed these conditions in the same geographical area, but several days apart. After training, the system was applied to maps that it had never seen before and tasked with making five-day forecasts of extreme weather. The predictions it produced were 85 percent accurate. The researchers chose this approach…
This story continues at The Next Web
