大气海洋科学中的人工智能:进步,挑战和前进的途径
Jing-Jia Luo1, Jiangjiang Xia2, Baoxiang Pan3
1State Key Laboratory of Climate System Prediction and Risk Management (CPRM)/Jiangsu Key Laboratory of Intelligent Weather Forecasting and Applications Based on Big Data/ICAR/CIC-FEMD/KLME/ILCEC, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China.
National science review
|March 13, 2026
概括
人工智能 (AI) 正在彻底改变地球科学,特别是在大气和海洋研究方面. 混合物理-人工智能模型为准确的气候预测和社会应用提供了一个有希望的途径.
科学领域:
- 地球科学 地球科学 地球科学
- 大气-海洋科学 大气-海洋科学
- 人工智能应用程序 人工智能应用程序
背景情况:
- 人工智能 (AI) 为应对复杂的地球科学挑战提供了变革性的潜力.
- 人工智能在大气和海洋科学中的整合正在迅速推进.
- 目前的研究重点是利用人工智能改善天气和气候洞察力.
研究的目的:
- 审查人工智能在大气海洋科学方面的进步和挑战.
- 探索AI在天气和气候预报中的应用.
- 概述人工智能在地球科学研究中的未来方向.
主要方法:
- 审查深度学习方法及其在预测中的应用.
- 检查AI用于现象检测,数据同化和偏差纠正.
- 讨论可解释的人工智能和混合物理-人工智能建模.
主要成果:
- 深度学习在天气和气候预报准确性和效率方面优于动态模型.
- 人工智能增强了数据同化,重建,偏差纠正和缩小规模.
- 混合物理-人工智能模型对于概括性和因果一致性至关重要.
结论:
- 可解释的人工智能对于建立信任和提取机械见解至关重要.
- 严格的基准测试需要一个基于人工智能的模型相互比较的框架.
- 人工智能代表了理解和适应气候变化的范式转变,在预警系统和绿色能源中具有应用.
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