Alibaba’s DAMO Academy Unveils Eight Views Weather Model:1km/1hr Precision, Pioneering New Energy Applications

Beijing,November 6, 2024 – Alibaba’s DAMO Academy (Hupan Lab) today announced the launch of its Eight Viewsweather model at a decision intelligence product launch event in Beijing. This groundbreaking model, built upon global weather models, incorporates regional multi-source data to achieve unprecedented spatialand temporal precision, reaching a resolution of 1 kilometer by 1 kilometer and 1 hour. By significantly improving the prediction accuracy of key weather indicators such as temperature, irradiance, and wind speed, the Eight Views model hasfound its first real-world application in the power grid of Shandong Province, China, a region with a high proportion of renewable energy sources.

The model has successfully predicted multiple extreme weather events, boosting the accuracy of renewable energy power generationand electricity load forecasting to over 96% and 98%, respectively, for the State Grid Shandong Electric Power Dispatching Center.

Traditionally, meteorologists rely on numerical calculations based on mathematical and physical equations derived from the laws of physics governing atmospheric motion. This process is computationally intensive and limited by the inherentconstraints of physical models, making it difficult to meet the diverse accuracy and resolution requirements of various industries for timely and efficient weather forecasts.

The World Meteorological Organization (WMO) recently released a report highlighting the transformative potential of AI in revolutionizing weather forecasting, making it faster, cheaper, and more accessible. Leveraging its expertise in mathematicalmodeling, time series prediction, and explainable AI, DAMO Academy’s Decision Intelligence Lab has developed a regional high-precision weather forecasting model based on its proprietary global weather model.

By integrating multi-source data, including local station data, real-time weather conditions, radar images, satellite images, and open-source terrain data, the model enhances the granularity and accuracy of forecasts, enabling hourly updates on a 1-kilometer grid. This global-regional collaborative forecasting weather model, aptly named Eight Views (八观), signifies observing all phenomena from all directions.

The Eight Views modelemploys a pre-trained twin MAE (Masked Autoencoder) structure, providing improved initialization parameters and learning robust feature representations from highly volatile weather data. This innovative approach enables the model to effectively capture and predict complex weather patterns with greater precision.

The successful implementation of the Eight Views model in the Shandong power grid demonstrates thetransformative potential of AI in optimizing renewable energy integration and enhancing grid resilience. As the model continues to evolve and expand its applications, it promises to revolutionize weather forecasting and empower various industries to better prepare for and mitigate the impacts of climate change.

References:

  • [DAMO Academy Announces Eight Views Weather 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