The model can accurately predict in seconds fine-grained meteorological features including humidity, wind speed, temperature, and sea level pressure. How Pangu-Weather addresses these challengesĭuring scientific trials, Pangu-Weather model has demonstrated its higher precision compared to traditional numerical prediction methods for forecasts of 1 hour to 7 days, with a prediction speed gain of 10,000 times. Second, medium-range weather forecast can suffer from cumulative forecast errors when the model is called too many times. First, the existing AI meteorological forecast models are based on 2D neural networks, which cannot process uneven 3D meteorological data well. The earlier that warnings can be sent out, the easier and better it is to make adequate preparations.īecause of their speed, AI weather forecast models have been attractive but have lacked precision for two reasons. In 2022, in China alone, the direct economic loss caused by typhoons was 5.42 billion yuan, according to the figures from China Ministry of Emergency Management. AI has been mostly unable to predict extreme and unusual weather such as typhoons.Įvery year, there are around 80 typhoons worldwide. Still, the precision of AI-based forecasting for medium and long-term forecasts has remained inferior to numerical forecasts.

To improve prediction speeds, researchers have been exploring how to using deep learning methods. But the method remains relatively time-consuming. With the rapid development of computing power over the past 30 years, the accuracy of numerical weather forecast has improved dramatically, providing extreme disaster warning and climate change predictions. The model, developed by the HUAWEI CLOUD team, is the first AI prediction model with higher precision than traditional numerical prediction methods. Pangu-Weather challenges the previously held assumptions that the accuracy of AI weather forecast is inferior to traditional numerical forecasts.

The paper, titled ' Accurate medium-range global weather forecasting with 3D neural networks' provides independent verifications of these capabilities. The model allows a 10,000x improvement in prediction speed, reducing global weather prediction time to just seconds.

Pangu-Weather is the first AI prediction model to demonstrate higher precision than traditional numerical weather forecast methods. The paper, describing how to develop a precise and accurate global AI weather forecast system based on deep learning using 43 years of data, appeared in the prestigious journal on July 5, 2023. The publication marks the first time that employees of a Chinese technology company are the sole authors of a Nature paper, according to Nature Index.

HUAWEI CLOUD announced that a paper about its breakthrough Pangu Weather AI model has been published by Nature, one of the world's top scientific journals.

Scale model simplify 3d