EGU26-9078, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-9078
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Improving forecasts of extreme rainfall induced by landfalling typhoon Bebinca (2024): Evaluating Fuxi, Pangu and Fengwu AI-driven WRF simulations
Rui Wang
Rui Wang
  • Shanghai Central Meteorological Observatory, Shanghai, China (51173901053@stu.ecnu.edu.cn)

How to cite: Wang, R.: Improving forecasts of extreme rainfall induced by landfalling typhoon Bebinca (2024): Evaluating Fuxi, Pangu and Fengwu AI-driven WRF simulations, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9078, https://doi.org/10.5194/egusphere-egu26-9078, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.