Gender:Male
Alma Mater:中国科学院大学
[MORE]2019届南京信息工程大学优秀毕业生
2024届北京市优秀毕业生

Yuheng Tang, male, PhD, Associate Professor, member of the Jiangsu Key Laboratory of Intelligent Weather Forecasting and Application for Big Data and the Institute of AI Meteorology. He received his Bachelor of Science degree in Atmospheric Science from Nanjing University of Information Science and Technology in June 2019 and his PhD in Meteorology from the Institute of Atmospheric Physics, Chinese Academy of Sciences in June 2024. His research interests include: climate dynamics (the relationship between the Antarctic Oscillation and the climate of the Tibetan Plateau and East Asia), and AI meteorology (the application of artificial intelligence and causal inference methods in climatology) (Figure 1). He has published more than 20 SCI papers, including in academic journals such as Geophysical Research Letters, Environmental Research Letters, and Journal of Geophysical Research: Atmospheres. He has presided over projects such as the National Natural Science Foundation of China (NSFC) Youth Science Fund Project (Category C) and the Basic Research Program of Jiangsu Youth Fund Project, and was awarded the title of Outstanding Graduate of Beijing in 2024.
Academic homepage:
ResearchGate academic homepage URL: https://www.researchgate.net/profile/Yuheng-Tang
Google scholar homepage URL:scholar.google.com/citations?user=_9QylpgAAAAJ&hl=zh-CN
Courses taught
Undergraduate Courses: Meteorological Remote Sensing Big Data Analysis, Machine Learning, Comprehensive Practice of Meteorological Remote Sensing Big Data Analysis, Python Meteorological Application Practice, Comprehensive Practice of AI Meteorology, Information Retrieval
Academic papers
2026
Luo J J*, Xia J*, Pan B*,..., Tang Y, et al. AI for atmosphere-ocean sciences: advancements, challenges, and ways forward[J]. National Science Review, 2026: nwag063. (Q1)
Tang Y*, Duan A, Hu D, et al. Regional Hadley cell edge variations associated with the Antarctic Oscillation[J]. Atmospheric Research, 2026: 108870. (Q1)
2025
Xiao C, Duan A*, Tang Y, et al. Machine learning prediction of summer extreme precipitation days in the middle and lower Yangtze River with SHAP explanation[J]. Atmospheric Research, 2025: 108614. (Q1)
Xiao C, Duan A*, Wu G, Tang Y, et al. Antarctic sea ice anomaly: Its influence on interannual summer rainfall variability in East Asia and Adjacent Seas. Atmospheric Research, 2025: 108598. (Q1)
Duan A*, Li X*, Hu W,..., Tang Y, et al. Climate teleconnections among the Earth’s three poles. Science Bulletin, 2025. (Q1)
Tang Y, Hu W*, Duan A, Hu D. Causal inference and mediation for summer precipitation over middle and lower reaches of the Yangtze River. Environmental Research Letters, 2025. (Q1)
Xin Y, Hu W*, Duan A, Tang B, Tang Y. Evaluation of the CMIP6 models for simulating the trend of the Barents-Kara Sea compound heatwaves in boreal autumn. Atmospheric Research, 2025, 320, 108077. (Q1)
2024
Tang, Y., & Duan, A.* (2024). Linkage between the boreal spring Antarctic oscillation and the temperature dipole mode over the Tibetan Plateau in summer. Atmospheric Research, 297, 107128. (Q1)
Xiao, C., Duan, A.*, Yao, Y., Tang, Y., & Wang, Q. (2024). Role of the subtropical southern Indian Ocean in the interannual variability of Antarctic summer sea ice. Atmospheric Research, 311, 107723. (Q1)
Xin, Y., Hu, W.*, Duan, A., Tang, B., & Tang, Y. (2024). Mechanism for compound daytime-nighttime heatwaves in the Barents–Kara Sea during the boreal autumn and their relationship with sea ice variability. Weather and Climate Extremes, 45, 100712. (Q1)
Duan, A.*, Wu, G.*, Wang, B., Turner, A. G., Hu, J., Hu, W., ... & Tang, Y. (2024). Drivers of East Asian summer monsoon variability: Global oceans and the Tibetan Plateau. Science Bulletin. (Q1)
Hu, D., Duan, A.*, Tang, Y., Tang, B., & Zhang, P. (2024). Inter-model spread in East Asian Summer Monsoon onset timing linked to the tropical Pacific and Indian oceans' mean state in CMIP6 models. Atmospheric Research, 299, 107205. (Q1)
Xiao, C., Duan, A.*, Wu, G., Tang, Y., Peng, Y., & Hu, D. (2024). Interannual variability of August precipitation in China associated with the Antarctic sea ice anomaly. Journal of Geophysical Research: Atmospheres, 129(6), e2023JD040236. (Q1)
2023
Tang, Y., & Duan, A.* (2023). Asymmetry of the Antarctic Oscillation in austral autumn. Geophysical Research Letters, 50(21), e2023GL105678. (Q1)
Tang, Y., Duan, A.*, & Hu, D. (2023). Influence of the Antarctic oscillation on summer precipitation over East Asia. Atmospheric Research, 292, 106847. (Q1)
Gao, K., Tang, Y., Chen, D.*, Wang, J., & Duan, A. (2023). Influence of Arctic Sea ice and Interdecadal Pacific Oscillation on the recent increase of winter extreme snowfall in Northeast China. Atmospheric Research, 295, 107030. (Q1)
Hu, D., Duan, A.*, Tang, Y., & Yu, W. (2023). Delayed onset of the tropical Asian summer monsoon in CMIP6 can be linked to the cold bias over the Tibetan Plateau. Environmental Research Letters, 18(11), 114005. (Q1)
Yao, Y., Duan, A.*, Hu, J., & Tang, Y. (2023). Decadal modulation of the Atlantic meridional mode on the West Antarctic climate during austral winter. Journal of Climate, 36(17), 6091-6109. (Q1)
2022年
Tang, Y., Duan, A.*, Xiao, C., & Xin, Y. (2022). The prediction of the Tibetan Plateau thermal condition with machine learning and Shapley additive explanation. Remote Sensing, 14(17), 4169. (Q1)
Tang, Y., Duan, A.*, & Hu, J. (2022). Surface heating over the Tibetan Plateau associated with the Antarctic Oscillation. Journal of Geophysical Research: Atmospheres, 127(17), e2022JD036851. (Q1)
Duan, A.*, Peng, Y., Liu, J., Chen, Y., Wu, G., Holland, D. M., ..., Tang, Y., & Li, X. (2022). Sea ice loss of the Barents-Kara Sea enhances the winter warming over the Tibetan Plateau. npj Climate and Atmospheric Science, 5(1), 26. (Q1)
2021年
Tang, Y., & Duan, A.* (2021). Using deep learning to predict the East Asian summer monsoon. Environmental Research Letters, 16(12), 124006. (Q1)
Part-time academic work
Reviewer for well-known journals in the fields of meteorology and artificial intelligence, such as npj Climate and Atmospheric Science、Communications Earth & Environment、Journal of Geophysical Research - Machine Learning and Computation