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100. Ma Y., J. Sun, T. Dong, W. Yu and W. Dong, 2022: More profound impact of CP ENSO on Australian spring rainfall in recent decades. Climate Dynamics, https://doi.org/10.1007/s00382-022-06485-w. (online)
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104. Wu J., J. Li, Z. Zhu, and P-C. Hsu. 2022: Factors determining the subseasonal prediction skill of summer extreme rainfall over southern China. Climate Dynamics, https://doi.org/10.1007/s00382-022-06326-w. (online)
105. Wu Y., X. Hu, Z. Li, M. Cai, M. Lu, and S. Yang, 2022: Remote effect of model systematic bias in tropical SST on the cold bias over the Tibetan Plateau. Climate Dynamics, https://doi.org/10.1007/s00382-022-06421-y. (online)
106. Yang G., and T. Li, 2022: Increased synoptic variability along the subtropical Meiyu front under global warming. Climate Dynamics, https://doi.org/10.1007/s00382-022-06554-0. (online)
107. Yang Y., Z. Zhu, X. Shen, L. Jiang, and T. Li, 2022: The influences of Atlantic sea surface temperature anomalies on the ENSO-independent interannual variability of East Asian summer monsoon rainfall. Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0061.1. (online)
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第二资助论文：
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23. Yan Z., B. Wu, T. Li, and G. Tan, 2022: Mechanisms Determining Diversity of ENSO-Driven Equatorial Precipitation Anomalies. Journal of Climate, 35, 923-939, https://doi.org/10.1175/JCLI-D-21-0363.1.
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其他资助论文：
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3. Li Y., W. Zhou, S. Yang, R. Zhang, H. Cheung, and Y. Zhang, 2022: Recent early-spring drying trend over southern China associated with changes in the zonal thermal contrast over Pacific. Journal of Climate, 35(19), 2885-2896. https://doi.org/10.1175/JCLI-D-21-0891.1.
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7. Li, J., X. Hao, H. Liao, X. Yue, H. Li, X. Long, and N. Li, 2022: Predominant Type of Dust Storms That Influences Air Quality Over Northern China and Future Projections. Earth's Future, 10, e2022EF002649, https://doi.org/10.1029/2022EF002649.
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2. 于恩涛, 马洁华, 孙建奇, 王会军, 汪君, 2022: IAP-NZC动力降尺度气候预测系统1.0.
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