Optimisation of Multi-Source Meteorological Data Fusion Algorithms Based on Artificial Intelligence

Key Points

• Enhanced algorithms improve the fusion of diverse meteorological data sources, leading to better accuracy.
• The analysis shows a significant increase in predictive performance, with multiple data models considered.
• Observational analysis evaluates data fusion methodologies using artificial intelligence techniques to optimize outcomes.
• These findings may enable more effective decision-making in sectors like environmental management and sustainable development.

Abstract