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Fusing Multi-Scale Numerical Model Forecasts to Improve Short-Term Intense Rainfall Forecast with a Deep Learning Rain Network

Qi ZHONG Zuliang FANG Haoming CHEN Lili SHEN Ye ZHANG Shaoyu HOU

气象学报（英文版）2025，Vol.39Issue(6)：1441-1462,22.

气象学报（英文版）2025，Vol.39Issue(6)：1441-1462,22.DOI:10.1007/s13351-025-4151-0

Fusing Multi-Scale Numerical Model Forecasts to Improve Short-Term Intense Rainfall Forecast with a Deep Learning Rain Network

Qi ZHONG ¹Zuliang FANG ¹Haoming CHEN ²Lili SHEN ³Ye ZHANG ¹Shaoyu HOU⁴

作者信息

1. China Meteorological Administration Training Centre,China Meteorological Administration,Beijing 100081
2. State Key Laboratory of Severe Weather Meteorological Science and Technology(LaSW),Chinese Academy of Meteorological Sciences,China Meteorological Administration,Beijing 100081
3. Hebei Meteorological Disaster Prevention and Environmental Meteorology Centre,Hebei Meteorological Service,Shijiazhuang 050021
4. Hebei Weather Modification Centre,Hebei Meteorological Service,Shijiazhuang 050021
折叠

摘要

关键词

general circulation model/mesoscale model/intense rainfall/deep learning/precipitation forecast correc-tion

Key words

general circulation model/mesoscale model/intense rainfall/deep learning/precipitation forecast correc-tion

引用本文复制引用

Qi ZHONG,Zuliang FANG,Haoming CHEN,Lili SHEN,Ye ZHANG,Shaoyu HOU..Fusing Multi-Scale Numerical Model Forecasts to Improve Short-Term Intense Rainfall Forecast with a Deep Learning Rain Network[J].气象学报（英文版）,2025,39(6):1441-1462,22.

基金项目

Supported by the National Natural Science Foundation of China(U2142214,42030611,and 42275013),Key Research and Develop-ment Program of Hebei Province of China(23375401D),and Key Research Program of the China Meteorological Administration Train-ing Centre(2024CMATCZDIAN13). （U2142214,42030611,and 42275013）

气象学报（英文版）

ISSN：0894-0525

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