The expected outcomes of this research include: 1) Proposing a continuous-time prediction framework based on the integration of fluid mechanics and AI, providing a novel methodology for typhoon path prediction; 2) Validating the advantages of this framework in terms of prediction accuracy and computational efficiency, offering a basis for practical applications; 3) Identifying the limitations of the framework and proposing optimization directions, promoting further development in related fields. These outcomes will help improve the accuracy of typhoon path prediction, reduce the losses caused by natural disasters, and provide experimental data and application scenarios for the further optimization of OpenAI models, fostering the intersection of artificial intelligence and meteorology.
Research Gallery
Visualizing fluid mechanics and AI in typhoon prediction research.