![]() Pangu-Weather can predict weather patterns five to seven days in advance. Pangu-Weather also contains a 3D model, unlike past AI forecasting systems, that allows it to record atmospheric states at different pressure levels to further increase its accuracy. When compared to the numerical weather prediction method, Pangu-Weather was 10,000 times faster, and was no less accurate. To train the Pangu-Weather model, Xie and his colleagues fed 39 years of global weather data to the system, preparing it to forecast temperature, pressure, and wind speed. What’s more, unlike AI systems, it takes a lot of computational power and hours to produce a single simulation. “They have enabled major advances in forecasts and forecasts continue to get more accurate as a result of more data, improvements to these models, and more advanced computers.”īut Xie notes that “AI offers advantages in numerical weather prediction being orders of magnitudes faster than conventional, simulation-based models.” The numerical models often do not have the capacity to predict extreme weather hazards such as tornadoes or hail. Russ Schumacher, a climatologist at Colorado State University who was not involved in both studies, hails these forecasting tools as a major scientific success story, decades in the making. When you look at AccuWeather or the weather app on your phone, data from numerical weather predictions is used to predict future weather. ”Ī majority of countries use numerical weather prediction models, which use mathematical equations to create computer simulations of the atmosphere and oceans. Pangu-Weather and other methods demonstrate AI’s potential for extreme weather warnings, especially for less developed countries, explains Lingxi Xie, a senior researcher at Huawei Cloud in China and a coauthor for one of the studies. The second, NowcastNet, creates accurate predictions for rainfall up to six hours ahead, which would allow meteorologists to better study weather patterns in real-time. The first AI-based system is called Pangu-Weather, and it was capable of predicting global weather a week in advance. AI can help.Ī pair of studies published July 5 in the journal Nature described the usefulness of two AI models that could improve weather forecasting. The problem is that predicting the weather, even day-to-day events, can still be a gamble. ![]() Getting notified in time to prepare for a catastrophic hurricane or heat wave-like the recent scorcher in the southern and midwestern US, where daily temperatures soared up to 112 degrees F-could be the difference between life and death. And just this week the world dealt with the three hottest days ever recorded. Increasingly severe hurricanes bring wind damage and flooding when they make landfall. As the planet warms up and oceans rise, extreme weather events are becoming the norm.
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