EGU26-11, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-11
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 07 May, 08:30–10:15 (CEST), Display time Thursday, 07 May, 08:30–12:30
 
Hall X5, X5.35
Causal inference and mediation for summer precipitation over middle and lower reaches of the Yangtze River
Yuheng Tang1,2, Wenting Hu2, Anmin Duan3, and Die Hu4
Yuheng Tang et al.
  • 1School of Artificial Intelligence (School of Future Technology), Nanjing University of Information Science and Technology, Nanjing, China (tangyh@nuist.edu.cn)
  • 2State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 3Center for Marine Meteorology and Climate Change, State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
  • 4College of Aviation Meteorology, Civil Aviation Flight University of China, Guanghan, China

The accurate attribution of summer precipitation in the middle and lower reaches of the Yangtze River (MLYR) is essential for operational forecasting and disaster prevention. However, traditional linear correlation methods are insufficient for capturing reliable causal linkages, making causal discovery algorithms a more appropriate solution. Causal effect measures suggest that tropical climate anomalies exert strong driving and mediating influences during boreal summer, while the Asian climate anomalies exhibit greater sensitivity. Causal analysis identifies seven direct drivers of MLYR precipitation: pressure anomalies over northwest Pacific, Northeast Asia, mid-latitude eastern Pacific, Ural Mountains, southwest Pacific, Scandinavia and Greenland. Additionally, we uncovered the further causal pathways linking MLYR precipitation with tropical Pacific and Antarctic Oscillation signals. These results identify the detailed mediations through the direct drivers of MLYR precipitation, which are crucial to capture its remote precursors. Our findings reveal the physical attributions of MLYR precipitation from the global climate, which may improve its operational prediction skills, and even broaden the precursors of East Asian summer monsoon.

How to cite: Tang, Y., Hu, W., Duan, A., and Hu, D.: Causal inference and mediation for summer precipitation over middle and lower reaches of the Yangtze River, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11, https://doi.org/10.5194/egusphere-egu26-11, 2026.