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Alibaba's DAMO Academy (Lakeside Laboratory) has announced a significant breakthrough in Beijing: the 'Baguan' meteorological big model developed based on global meteorological models. This innovative model, named 'Baguan' (meaning 'Insight from All Directions, Observing All Phenomena'), elevates weather forecasting accuracy to unprecedented levels. The most remarkable feature of this meteorological big model is its ultra-high accuracy. By integrating multi-source regional data, the model achieves an ultra-fine prediction resolution of 1 km × 1 km × 1 hour. In practical applications, this model predicts key meteorological indicators with greater accuracy compared to traditional forecasts.

NVIDIA has released StormCast, a generative AI model designed for high-fidelity atmospheric dynamics simulations, aiming to accurately predict mesoscale weather, which is crucial for disaster planning and mitigation. This model made its debut in papers co-authored with research institutions, providing groundbreaking predictive capabilities for frequently occurring extreme weather events, such as the over $150 billion annual losses in the U.S. StormCast is part of the NVIDIA Earth-2 digital twin cloud platform, integrating AI, physics simulations, and computer graphics.

Recently, Google has made a remarkable breakthrough in the field of weather forecasting. They have developed a new atmospheric circulation model called NeuralGCM, which boasts a computational efficiency that is 100,000 times higher than traditional physical models, equivalent to the progress made in high-performance computing over the past 25 years.By combining machine learning with physical modeling, NeuralGCM performs both rapidly and accurately in simulating Earth's atmosphere. The results of

The 2023 Annual 'Top Ten Scientific Advances in China' has been released. AI large models bring new breakthroughs for accurate weather forecasting, revealing mechanisms of how dark matter in the human genome drives aging, discovering the existence of a 'tangible' biological clock in the brain and its rhythmic regulation mechanisms, analyzing the salt-alkali tolerance mechanisms of crops and their applications, achieving precise manipulation of DNA from single base pairs to ultra-large segments using new methods, revealing new mechanisms of DNA replication initiation in human cells, discovering the narrow jet of the brightest gamma-ray burst in history and its trillion-electron-volt photon emissions, and developing bosonic error correction to extend qubit lifespans, as well as revealing light-sensing regulation mechanisms for glucose metabolism.

Swiss startup Jua announced it has raised $16 million to develop foundational AI models focused on nature. The primary application area for Jua is weather forecasting, with models addressing a broader range of physical problems and challenges. 468Capital and Green Generation Fund lead the investment, recognizing the multi-domain application potential of Jua's models. Jua employs a novel approach to integrate complex data, keeping costs low and maximizing computational resource efficiency, showing promising prospects.

India's Meteorological Department plans to establish climate models to enhance the ability to predict weather events. AI technology will provide higher quality and cheaper weather data, helping India to more accurately forecast climate changes. India will utilize AI climate models to predict weather events and reduce losses.

["Google DeepMind has released GraphCast, a global weather AI model that accurately predicts the weather for the next 10 days in just 1 minute.", "Trained on data from the European Centre for Medium-Range Weather Forecasts, it boasts an accuracy rate of over 90%.", "The model is open source, driving significant advancements in the field of weather forecasting.", "GraphCast demonstrates superior performance in extreme weather prediction and cyclone tracking.", "This model marks an innovative step forward in the field of weather forecasting, providing a powerful tool for future meteorological research."]

Artificial intelligence is transforming the field of weather forecasting, providing advanced tools to enhance accuracy. By leveraging advanced weather models, AI processes vast amounts of data to achieve this goal. AI improves the prediction of future weather conditions by simulating and analyzing past weather events and identifying recurrent weather patterns. The application of AI brings numerous benefits, but it also raises questions about the role of human expertise and the human touch in weather forecasting.

The European institution ECMWF collaborates with Huawei to use the Huawei Pangu Weather Model for weather forecasting. The Pangu Weather Model has shown high efficiency and accuracy in predicting extreme weather conditions such as typhoon paths, cold waves, and heatwaves. Huawei's goal is to utilize the Pangu Weather Model to create the next-generation AI weather forecasting framework, improving accuracy and speed of forecasts.