EGU25-2679, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-2679
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Improving Subseasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method
Yang Lyu1, Xiefei Zhi1, and Shoupeng Zhu2
Yang Lyu et al.
  • 1Nanjing university of information science and technology, China (yanglv_bh@163.com)
  • 2Nanjing joint Institute for Atmospheric Sciences,Nanjing,China

How to cite: Lyu, Y., Zhi, X., and Zhu, S.: Improving Subseasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2679, https://doi.org/10.5194/egusphere-egu25-2679, 2025.

This abstract has been withdrawn on 29 Apr 2025.