By Casey Hall and Chenxi Yang
SHANGHAI, Aug 11 (Reuters) - As meteorologists tracked Typhoon Dolphin's path toward China in recent days, a new generation of artificial intelligence weather models worked alongside traditional forecasting systems, highlighting China's emergence as a leading player in the race to improve weather prediction.
Chinese-developed systems, including Shanghai AI Laboratory-developed Fengwu, Huawei's Pangu and Fudan University's **** i, are among a handful of AI forecasting models that researchers say can generate forecasts much faster than conventional systems while matching or surpassing them on some measures of accuracy.
For decades, weather prediction has relied on numerical models running on supercomputers that simulate atmospheric physics. AI models instead learn patterns from vast archives of historical weather observations and can produce forecasts in a fraction of the time. The technology is increasingly being tested during typhoon season in East Asia, where even small improvements in track forecasts can help authorities better prepare for flooding, organise evacuations and manage potential transport disruptions.
The rise of AI weather forecasting has created a new arena of competition among technology companies, research institutes and meteorological agencies, with China emerging as one of the field's leading players.
#weather #systems #forecasts #prediction
SHANGHAI, Aug 11 (Reuters) - As meteorologists tracked Typhoon Dolphin's path toward China in recent days, a new generation of artificial intelligence weather models worked alongside traditional forecasting systems, highlighting China's emergence as a leading player in the race to improve weather prediction.
Chinese-developed systems, including Shanghai AI Laboratory-developed Fengwu, Huawei's Pangu and Fudan University's **** i, are among a handful of AI forecasting models that researchers say can generate forecasts much faster than conventional systems while matching or surpassing them on some measures of accuracy.
For decades, weather prediction has relied on numerical models running on supercomputers that simulate atmospheric physics. AI models instead learn patterns from vast archives of historical weather observations and can produce forecasts in a fraction of the time. The technology is increasingly being tested during typhoon season in East Asia, where even small improvements in track forecasts can help authorities better prepare for flooding, organise evacuations and manage potential transport disruptions.
The rise of AI weather forecasting has created a new arena of competition among technology companies, research institutes and meteorological agencies, with China emerging as one of the field's leading players.
#weather #systems #forecasts #prediction
1 day ago
