研究领域

• 次季节-季节（S2S）预测，无缝隙气候预测，热带多时空尺度相互作用

论文成果

• Wu, J., Y. Li, J.-J. Luo, and X. Jiang, 2021. Assessing the role of air-sea coupling in predicting Madden-Julian Oscillation with an atmosphere-ocean coupled model. Journal of Climate, 34: 9647-9663.
• Wu, J., Y. Li, J.-J. Luo, Y. Zhang, T. Doi, and T. Yamagata, 2023. Prediction and Predictability of boreal winter MJO using a multi-member subseasonal to seasonal forecast system of NUIST (NUIST CFS 1.1).
• Wu J, Luo J J, Doi T, et al. Revisiting the role of atmospheric initial signals in predicting ENSO[J]. Journal of Climate, 2024, 37(22): 5883-5907.
• 伍继业，谢欣芮，罗京佳，2024．基于改进版NUIST CFS1.1的热带大气季节内信号及其对中国气温降水影响的预测评估．大气科学学报，43( 1) : 128-143．
• Ling F, Chen K, Wu J, et al. FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere[J]. arXiv preprint arXiv:2411.10191, 2024.
• 贺嘉樱，伍继业，罗京佳，2020．南京信息工程大学气候预测系统 1. 0 版简介［J］．大气科学学报，43( 1) : 128-143
• Li, Y., J. Wu, J.-J. Luo, and Y. M. Yang, 2022. Evaluating the Eastward Propagation of the MJO in CMIP5 and CMIP6 Models Based on a Variety of Diagnostics. Journal of Climate, 35, 1719-1743.
• Xie, X., J. Wu, J.-J. Luo, J. Xu, and H. Yan, 2024. Modulation of Quasi-Biennial Oscillation on wintertime variability of intraseasonal 2-m temperature over northern Eurasia and its potential impact on subseasonal prediction in China. Geophysical Research Letters, 51(2): e2023GL106448.
• Zhang, Y., J. Wu, Y. Zheng, and J.-J. Luo, 2024. Impacts of Atmospheric Internal Variations on the Variability of the Sea Surface Temperature based on Hydra-SINTEX Model. Journal of Geophysical Research: Atmospheres, 2024, 129(9): e2023JD040325.
• Jiang J, Wu J,* Luo J J*. Understanding the influence of tropical intraseasonal oscillation in predicting the Indian Ocean Dipole[J]. Journal of Climate, 2024.
• Tang S, Luo J J, He J, et al. Toward understanding the extreme floods over Yangtze River valley in June–July 2020: Role of tropical oceans[J]. Advances in Atmospheric Sciences, 2021, 38(12): 2023-2039.
• Wang M, Yuan C, Liu J, et al. Underestimated relationship between westerly wind bursts and ENSO in CMIP6 models[J]. Atmospheric and Oceanic Science Letters, 2023, 16(6): 100336.
• Lin L, Yu Y, Lu C, et al. Are the extreme marine heatwave events in the central-eastern tropical Pacific predictable 30–60 days in advance by NUIST CFS1. 1 model?[J]. Atmospheric Research, 2023, 289: 106744.

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