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  • Fig.  8.   The 120-h typhoon track forecasts given by (a) CTL1 and EXP1, (b) CTL2 and EXP2, and (c) CTL3 and EXP3. The forecasts given by the control and sensitivity experiments are plotted as squares and triangles, respectively. The observed typhoon track is represented by circles. The time is marked along the track for each 24 h.

  • Xiao, H. Y., W. Han, H. Wang, et al., 2020: Impact of FY-3D MWRI radiance assimilation in GRAPES 4DVar on forecasts of Typhoon Shanshan. J. Meteor. Res., 34, 836–850. doi: 10.1007/s13351-020-9122-x
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    2. Zhisheng Xiao, Shaobin Zhu, Yucong Miao, et al. On the relationship between convective precipitation and aerosol pollution in North China Plain during autumn and winter. Atmospheric Research, 2022, 271: 106120. DOI:10.1016/j.atmosres.2022.106120
    3. Fatemeh Khosravi, Andrea Taylor, Yim Ling Siu. Chinese water managers' long-term climate information needs. Science of The Total Environment, 2021, 750: 141637. DOI:10.1016/j.scitotenv.2020.141637
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    5. Jizhi Wang, Xiaoye Zhang, Duo Li, et al. Interdecadal changes of summer aerosol pollution in the Yangtze River Basin of China, the relative influence of meteorological conditions and the relation to climate change. Science of The Total Environment, 2018, 630: 46. DOI:10.1016/j.scitotenv.2018.01.236
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