Chongqing – On December 26, the 2024 Western Science and Technology Innovation Ecological Development Conference occurred at the Western China (Chongqing) Science City.

Ming Ju, Director of the Chongqing Science and Technology Bureau, emphasized that the Western region should further strengthen regional exchanges and cooperation, enhance policy coordination, improve technology and financial services, and promote talent mobility and sharing. 

The 2024 Western Science and Technology Innovation Ecological Development Conference took place on December 26. (Photo/Chongqing Meteorological Bureau)

The Western Science and Technology Innovation Ecological Alliance was established during the conference. It was. The Chongqing Technology Transfer Research Institute initiated it in collaboration with other regions, including Sichuan and Guizhou.

This initiative has created a platform for sharing information on scientific and technological innovation in the Western region. It effectively integrates resources such as research capabilities, corporate technological strengths, funding, and talent.

Furthermore, during the event, the Chongqing Meteorological Bureau unveiled its new "Tianzi 12h" artificial intelligence-based weather forecasting large model. 

Heavy rainfall is a critical concern during Chongqing's annual flood prevention period, and accurate precipitation forecasting in the Chengdu-Chongqing region is essential. In response to this pressing need, the Chongqing Meteorological Bureau, in collaboration with Huawei Cloud Computing Technology Co., Ltd., developed this advanced forecasting model.

The new artificial intelligence-based weather forecasting large model was unveiled on December 26. (Photo/Chongqing Meteorological Bureau)

The model's main focus is to enhance forecasting efficiency. According to a representative, traditional regional numerical weather models require about one hour to generate predictions, whereas the new model can provide results in just 10 minutes.

The model's rainfall predictions in the first 6 hours are 36% more accurate than those made by traditional forecasting methods.

Moreover, this large model can be applied in various fields, such as megacity governance, the low-altitude economy, and early warnings for rockfall disasters.

For example, weather conditions are key to flight safety in the low-altitude economy. As low-altitude aircraft navigate turbulent, rapidly changing air, the AI weather model helps ensure smooth operations from takeoff to landing.