EGU25-17628, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-17628
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Exploring Terrain-Precipitation Relationships with Interpretable AI for Advancing Future Climate Projections
1,2,- 1Zhejiang Key Laboratory of Industrial Intelligence and Digital Twin, Eastern Institute of Technology, Ningbo
- 2Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo
- 3South University of Science and Technology of China, Shenzhen
- 4National Meteorological Center, China Meteorological Administration, Beijing
- 5Chinese Academy of Meteorological Sciences, Beijing
How to cite: Xu, H., Chen, Y., Zeng, Z., Li, N., Li, J., and Zhang, D.: Exploring Terrain-Precipitation Relationships with Interpretable AI for Advancing Future Climate Projections, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17628, https://doi.org/10.5194/egusphere-egu25-17628, 2025.