孙永强
Yongqiang Sun, Ph.D.
准聘副教授
高层次人才引进，2026年加入米兰milan官方网站
邮箱: qiangsun@nju.edu.cn
研究兴趣
• 人工智能天气与气候预测
• 大气可预报性与混沌动力学
• 极端天气与气候事件
• 数值天气预报与集合预报
• 热带气旋动力学
个人简介
孙永强博士长期从事大气可预报性理论、人工智能天气预报、极端天气气候事件、数值天气预报以及中尺度动力学等方向研究。近年来重点关注人工智能天气模式对极端事件和“灰天鹅（Gray Swan）”事件的预测能力、天气可预报性极限以及数据驱动地球系统模式的发展。
目前实验室处于初建阶段，招收硕士、博士、博士后等，欢迎感兴趣的同学咨询！
教育经历
• 2012–2017，美国宾夕法尼亚州立大学，气象学，博士
• 2009–2012，北京大学，气象学，硕士
• 2005–2009，北京大学，大气科学，本科
工作经历
• 2026–至今 米兰milan官方网站 准聘副教授
• 2024–2026 美国芝加哥大学 地球物理科学系 Research Scientist
• 2021–2023 美国莱斯大学 Research Scientist
• 美国普林斯顿大学/NOAA GFDL 博士后研究员
其他
• Journal of the Atmospheric Sciences 副编辑（2023–至今）
• John C. Wyngaard Graduate Research Award（宾夕法尼亚州立大学，2017）
• NCAR Advanced Study Program Graduate Student Visitor Fellowship（2015）
代表性论文
| Sun Y.Q.*, P. Hassanzadeh*, M. Zand, A. Chattopadhyay, J. Weare, & D.S. Abbot, 2025: Can AI weather models predict out-of-distribution gray swan tropical cyclones? Proc. Natl. Acad. Sci. U.S.A. 122 (21) e2420914122, https://doi.org/10.1073/pnas.2420914122 (2025). |
| Sun Y.Q., Hamid A. Pahlavan, Ashesh Chattopadhyay, Pedram Hassanzadeh, Sandro W. Lubis, M. Joan Alexander, Edwin Gerber, Aditi Sheshadri, Yifei Guan (2023). Data Imbalance, Uncertainty Quantification, and Transfer Learning in Data-driven Parameterizations: Lessons from the Emulation of Gravity Wave Momentum Transport in WACCM. Journal of Advances in Modeling Earth Systems, 16, e2023MS004145. https://doi.org/10.1029/2023MS004145 |
| Sun Y.Q., Hassanzadeh, P., Alexander, M. J., & Kruse, C. G. (2023). Quantifying 3D Gravity Wave Drag in a Library of Tropical Convection-Permitting Simulations for Data-Driven Parameterizations. Journal of Advances in Modeling Earth Systems, 15(5), e2022MS003585. https://doi.org/10.1029/2022MS003585 |
| Ruppert, J. H., Jr., S. E. Koch, X. Chen, Y. Du, A. Seimon, Y.Q. Sun, J. Wei, and L. F. Bosart, 2022: Mesoscale gravity waves and midlatitude weather: A tribute to Fuqing Zhang, Bull. Amer. Meteor. Soc., DOI: 10.1175/BAMS-D-20-0005.1 |
| Sun Y.Q.*, F. Zhang, 2020: A New Theoretical Framework for Understanding Multiscale Atmospheric Predictability. J. Atoms. Sci.77, 2297–2309. |
| Zhang, F., Y.Q. Sun*, L. Magnusson, R. Buizza, S.J, Lin, J.H. Chen, K. Emanuel, 2019: What is the Predictability Limit of Midlatitude Weather?. J. Atmos. Sci., 76, 1077-1091. doi:10.1175/JAS-D-18-0269.1, (***Featured in the Science news article: A 2-week weather forecast may be as good as it gets. Science, 363, 801, doi:10.1126/science.363.6429.801) |
| Sun, Y.Q., R. Rotunno, and F. Zhang, 2017: Contributions of moist convection and internal gravity waves to building the atmospheric "-5/3" kinetic energy spectra, Journal of the Atmospheric Sciences, 74, 185-201 |
| Sun, Y.Q., and F. Zhang, 2016: Intrinsic versus practical limits of atmospheric predictability and the significance of the butterfly effect. Journal of the Atmospheric Sciences, 73, 1419-1438 |
| Sun, Y.Q., Y. Jiang, B. Tan and F. Zhang, 2013: The Governing Dynamics of the Secondary Eyewall Formation of Typhoon Sinlaku (2008). Journal of the Atmospheric Sciences, 70, 3818-3837. |