气象学报（英文版）2025，Vol.39Issue(6)：1477-1488,12.DOI:10.1007/s13351-025-5040-2
A Radar Echo Extrapolation Method Based on the ARUR Network with Multi-Source Data
A Radar Echo Extrapolation Method Based on the ARUR Network with Multi-Source Data
Jiexin CHEN 1Zhiqun HU 2Shujie YUAN 3Jiajia HUA 4Xuejiao CHEN 4Shanghao WANG 5Guocui LI6
作者信息
- 1. State Key Laboratory of Severe Weather Meteorological Science and Technology(LaSW),Chinese Academy of Meteorological Sciences,China Meteorological Administration,Beijing 100081||Key Laboratory of High Impact Weather(special),China Meteorological Administration,Changsha 410000||College of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225
- 2. State Key Laboratory of Severe Weather Meteorological Science and Technology(LaSW),Chinese Academy of Meteorological Sciences,China Meteorological Administration,Beijing 100081||Key Laboratory of High Impact Weather(special),China Meteorological Administration,Changsha 410000
- 3. College of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225
- 4. China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory,Xiong'an New Area 071799||Hebei Xiong'an New Area Meteorological Service,Xiong'an New Area 071799
- 5. State Key Laboratory of Severe Weather Meteorological Science and Technology(LaSW),Chinese Academy of Meteorological Sciences,China Meteorological Administration,Beijing 100081||College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225
- 6. Shijiazhuang Meteorological Bureau,Shijiazhuang 050081
- 折叠
摘要
关键词
deep learning/radar echo extrapolation/data fusion/self-defined loss functionKey words
deep learning/radar echo extrapolation/data fusion/self-defined loss function引用本文复制引用
Jiexin CHEN,Zhiqun HU,Shujie YUAN,Jiajia HUA,Xuejiao CHEN,Shanghao WANG,Guocui LI..A Radar Echo Extrapolation Method Based on the ARUR Network with Multi-Source Data[J].气象学报（英文版）,2025,39(6):1477-1488,12.基金项目
Supported by the Key Laboratory of High Impact Weather(special),China Meteorological Administration(2024-K-02),Key Laborat-ory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province(SCSF202301),Natural Science Founda-tion of Hebei Province of China(D2024304002),Open Founds of China Meteorological Administration Hydro-Meteorology Key Labor-atory(23SWQXM007),and Innovation and Development Project of China Meteorological Administration(CXFZ2025J106). （special）
