AI助力大气科学，构建跨学科研究路线图
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
- 融合大气科学与计算机科学，探索AI在气候研究中的应用路径
- 提出应对大数据与算力挑战的系统性研究框架
- 适合关注气候建模、智能分析的科研人员参考
大气科学对理解空气质量、极端天气及气候变化等环境现象至关重要。传感、通信、计算和人工智能（AI）的最新突破显著推动了大气科学的发展，通过长期地球观测生成海量数据，并提供强大的工具用于分析大气现象与预测自然灾害。本文提供了一个关键的跨学科综述，连接大气科学与计算机科学，突出AI在大气研究中的变革潜力。我们识别出将AI融入大气研究面临的关键挑战，包括大数据与基础设施问题，并制定了一份详尽的研究路线图，涵盖当前与新兴挑战。
原文摘要 · Abstract (English)
Atmospheric sciences are crucial for understanding environmental phenomena ranging from air quality to extreme weather events, and climate change. Recent breakthroughs in sensing, communication, computing, and Artificial Intelligence (AI) have significantly advanced atmospheric sciences, enabling the generation of vast amounts of data through long-term Earth observations and providing powerful tools for analyzing atmospheric phenomena and predicting natural disasters. This paper contributes a critical interdisciplinary overview that bridges the fields of atmospheric science and computer science, highlighting the transformative potential of AI in atmospheric research. We identify key challenges associated with integrating AI into atmospheric research, including issues related to big data and infrastructure, and provide a detailed research roadmap that addresses both current and emerging challenges.
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