EGU26-11244, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-11244
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 05 May, 16:15–18:00 (CEST), Display time Tuesday, 05 May, 14:00–18:00
 
Hall X5, X5.190
Investigating Climate Change Impacts on the 2020 extreme Meiyu Through Global Variable-Resolution Ensemble Subseasonal Hindcasts
Mingyue Xu and Chun Zhao
Mingyue Xu and Chun Zhao
  • University of Science and Technology of China, Hefei, China (myxu@ustc.edu.cn)

This study investigates the impact of climate change on the extreme 2020 Meiyu over the middle and lower reaches of the Yangtze River (MLYR) through global variable-resolution ensemble subseasonal hindcasts. Results reveal that post-1980 climate change enhanced the 2020 extreme Meiyu rainfall over the MLYR region by approximately 17.19% at monthly scale, while simultaneously decreasing light and moderate precipitation frequency but intensifying heavy and extreme precipitation occurrences. Climate change intensified the low-pressure over northern China and southern China while weakening the Western Pacific subtropical high and the low-pressure over the Indian Peninsula. The circulation pattern results in significant shear between northeasterly and northwesterly winds in the southern MLYR region, contrasting with the high-pressure dominance in the northern MLYR region. This configuration suppressed convergence, vertical motion, and precipitation in the northern MLYR while enhancing these processes along its southern. Comparison between frequently re-initialized and subseasonal simulations further demonstrates that subseasonal simulations, by allowing full development of interactions between regional systems and large-scale circulation, more realistically represent climate change impacts on Meiyu season. In contrast, the frequently updated initial conditions in re-initialized simulations constrain such feedback processes. This study highlights the importance of utilizing global variable-resolution simulations at subseasonal-scale for climate attribution studies. Future studies would benefit from improved subseasonal forecasting capabilities to enhance attribution reliability.

How to cite: Xu, M. and Zhao, C.: Investigating Climate Change Impacts on the 2020 extreme Meiyu Through Global Variable-Resolution Ensemble Subseasonal Hindcasts, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11244, https://doi.org/10.5194/egusphere-egu26-11244, 2026.