Huawei’s Pangu AI model achieves second-level global weather forecast time reduction

Pangu Weather developed by Huawei Cloud is a weather forecast AI model that not only improves forecast accuracy, but also increases speed by 10,000 times, shortening global weather forecast time to seconds. This is very helpful for early prediction and response to extreme weather. Pangu Meteorology is the first AI prediction model whose accuracy exceeds traditional numerical prediction methods, and it is released to the public for free on the European Center for Medium-Range Weather Forecasts (ECMWF) website for the first time. This provides a platform for weather forecasters, meteorologists, weather enthusiasts and the public around the world to view the 10-day global weather forecast of Pangu Weather Model

The weather forecasts on the ECMWF website are provided by Pangu-Weather (Source: ECMWF).

According to the report released by ECMWF, they compared the Pangu meteorological model and the world's leading ECMWF IFS, with forecasts spanning April to July 2023. The results show that large-scale models using machine learning (ML) methods, such as Pangu Meteorology, will completely change the development speed of traditional numerical weather prediction (NWP) methods, making them more gradual and slow. The Pangu meteorological model has lower calculation costs and at the same time has extremely competitive accuracy

The Pangea weather model has successfully verified its predictive capabilities in extreme situations, such as Storm Eunice hitting northwestern Europe in February 2022 and the first high temperature above 40°C in the UK in the summer of 2022. Pangu weather forecasts take into account multiple factors such as terrain, specific humidity, wind speed and temperature. This information is of great significance to the development of weather systems, storm tracks, air quality and climate patterns. In addition, Pangu Meteorology also successfully predicted the path of this year’s sixth typhoon “Kanu”

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