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Feng Jie
青年研究员
Supervisor of Doctorate Candidates
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Academic Achievements
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Cao, Yuan;Chen, Lei;Wu, Junjing;Feng, Jie, Enhancing Nowcasting With Multi-Resolution Inputs Using Deep Learning: Exploring Model Decision Mechanisms -Geophysical Research Letters -2025/01/01 -52
Sun, Xiuyu;Zhong, Xiaohui;Xu, Xiaoze;Huang, Yuanqing;Li, Hao;Neelin, J. David;Chen, Deliang;Feng, Jie;Han, Wei;Wu, Libo;Qi, Yuan, A data-to-forecast machine learning system for global weather -NATURE COMMUNICATIONS -2025/01/01 -16
Feng, Jie;Judt, Falko;Zhang, Jing;Wang, Xuguang, Influence of region-dependent error growth on the predictability of track and intensity of Typhoon Chan-hom (2020) in high-resolution HWRF ensembles -ATMOSPHERIC RESEARCH -2024/01/01 -308
Liu, Liangying;Feng, Jie;Ma, Li;Yang, Yanru;Wu, Xiaotian;Wang, Chao, Ensemble-based sensitivity analysis of track forecasts of typhoon In-fa (2021) without and with model errors in the ECMWF, NCEP, and CMA ensemble prediction systems -ATMOSPHERIC RESEARCH -2024/01/01 -309
Ji, Chaopeng;Qin, Bo;Mu, Mu;Ma, Junjie;Fang, Xianghui;Feng, Jie;Wang, Qiang, Optimal distributions of growing-type initial perturbations for ensemble forecasts: Theory and application in the Lorenz-96 model -Quarterly Journal of the Royal Meteorological Society -2025/01/01 -151
Zhang, Wei;Yao, Yulong;Chan, Duo;Feng, Jie, Advances in Air-Sea Interactions, Climate Variability, and Predictability -ATMOSPHERE -2024/01/01 -15
Luo, Enwang;Chen, Guoxing;Wang, Wei-Chyung;Feng, Jie;Gao, Yanhong, Effects of cloud vertical structure on the development of tropical cyclones: A case study based on In-Fa (2021) -Atmospheric Research -2025/01/01 -315
Zhan, Ruifen;Feng, Jie, Causes and predictability of the "explosive" intensification of Super Typhoon Yagi after entering the South China Sea in 2024 -Science China Earth Sciences -2025/01/01 -68
Wang, Jincheng;Feng, Jie;Yang, Yi;Hu, Jianglin;Yang, Junli, A comprehensive quality control algorithm for atmospheric motion vectors and its impacts on analysis and forecast of the China Meteorological Administration Global Forecast System -Quarterly Journal of the Royal Meteorological Society -2025/01/01 -151
Pu, Jingchen;Mu, Mu;Feng, Jie;Zhong, Xiaohui;Li, Hao, A fast physics-based perturbation generator of machine learning weather model for efficient ensemble forecasts of tropical cyclone track -npj Climate and Atmospheric Science -2025/01/01 -8
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