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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