• Data Fusion and processing in Meteorology (气象中的数据融合与处理)
• AI in Weather Forecasting (人工智能在天气预报中的应用)
• Extreme Weather Event Prediction (极端天气事件预测)
• Applications of Artificial Intelligence in Oceanography (人工智能在海洋中的应用)
• Applications of Artificial Intelligence in Meteorological Early Warning (人工智能在气象预警中的应用)

Artificial Intelligence (AI) is revolutionizing the meteorological field by enhancing weather prediction accuracy, extreme weather event detection, and climate modeling. The integration of AI technologies like machine learning and deep learning with traditional meteorological data sources—such as radar, satellite, and ground observation systems—allows for improved decision-making and forecasting. However, significant challenges remain, such as addressing model biases, the interpretability of AI predictions, and limitations in the quality and availability of data. Moreover, the ethical implications of AI-driven decision-making in weather and climate forecasting present additional hurdles. Overcoming these challenges requires innovative approaches and collaborative research efforts.
To address these evolving challenges, we invite researchers from academia and industry to publish original research on the technologies and applications related to AI in meteorology. This call aims to explore more accurate, efficient, and intelligent approaches in this critical field.