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The official issue of Nature magazine publishes the research results of Pangu meteorological model under Huawei cloud, and the weather forecast is more accurate.

2025-04-03 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizens for the delivery of clues that rain and snow are on the way and work is a sideline. CTOnews.com, July 6 (Xinhua)-- A few days ago, the top international academic journal Nature magazine published the research results of Huawei Cloud's Pangu model research and development team, "three-dimensional neural network for accurate medium-term global weather forecast" (Accurate medium-range global weather forecasting with 3D neural networks).

This is also the first paper published in the official issue of Nature by a Chinese technology company as the only signed unit in recent years. Nature magazine spoke highly of it.

The Pangu meteorological model makes people re-examine the future of the meteorological forecast model, and the opening of the model will promote the development of this field.

At present, the Pangu meteorological model can provide global meteorological second forecast, and the forecast results include potential, humidity, wind speed, temperature, sea level pressure and other information, which can be directly applied to a number of meteorological research subdivision scenes.

The research and development team of Pangu large model found that there are two main reasons for the lack of accuracy of the current AI weather forecast model: first, the original AI weather forecast model is based on 2D neural network, which can not properly deal with uneven 3D meteorological data; second, the AI method lacks mathematical and physical mechanism constraints, so it will continue to accumulate iterative errors in the iterative process.

For this reason, the team proposes to use a three-dimensional neural network adapted to the earth coordinate system to deal with complex and uneven 3D meteorological data, and uses a hierarchical time-domain aggregation strategy to reduce the number of prediction iterations, so as to reduce iterative errors.

In addition, by training the depth neural network based on 43 years of global weather data, the Pangu meteorological model surpasses the traditional numerical prediction methods in terms of accuracy and speed.

At the 19th World Meteorological Congress, the European Center for medium-range Weather Forecast pointed out that the accuracy of the Pangu meteorological model is undeniable, and the strength of the pure data-driven AI weather forecast model is comparable to that of the numerical model.

CTOnews.com previously reported that Hu Houyi, chairman of Huawei, attended the opening ceremony of the 2023 World artificial Intelligence Conference and delivered a speech, saying that Huawei would launch Pangu at the Huawei Cloud developer Conference on July 7.

Original document of research paper: click here to download

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