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申文祥

博士后

邮箱: wenxiang.shen@nju.edu.cn

        办公室: B204

教育经历

工作经历

研究方向

        1. 基于人工智能(AI)的气溶胶-云物理过程模拟器开发

        2. 融合AI与地球系统模式，发展物理-AI混合型数值模式

        3. 人为减排对气溶胶-云相互作用的影响

科研项目

        1. 2026-2028, 国家自然科学基金青年项目C类, 基于深度学习提升气候模式中黑碳气溶胶混合态非均一性表征, 主持

        2. 2025-2027, 中国博士后科学基金面上项目, 基于深度学习的气溶胶吸湿性及云凝结核活化参数化, 主持

        3. 2024, 中央高校基金项目, AI & AI for Science专项资助, 主持

学术服务

        担任Geoscientific Model Development、Atmospheric Chemistry and Physics、Journal of Geophysical                     Research: Atmospheres、Remote Sensing等期刊审稿人

学术论文

        第一/共一(#)/通讯(*)作者论文：

     5. Han, X.(#), Shen, W.(#), Wang, M.(*), Zhu, Y.(*), Wang, Y., Liu, J., Rosenfeld, D., and Wang, H. Global expansion of the sensitive aerosol-limited marine cloud regime under emission reductions, Sci. Adv., In press, 2026.

       4. Shen W.(*), Wang, M., Wang, J., Liu, Y., Dong, X., Shao, X., Yue, M., and Liu, Y. Quantifying Global Black Carbon Aging Responses to Emission Reductions Using Machine Learning-based Climate Model, Adv. Atmos. Sci., 43, 361-372, https://doi.org/10.1007/s00376-025-5041-1, 2025. (Editor's Recommendation)

         3. Shen W., Wang, M.(*), and Dong, X. Enhanced Aging of Black Carbon under Recent Clean Air Actions and Future Carbon Neutrality Scenario in China, Environ. Sci. Technol., 58(31), 13697-13706, https://doi.org/10.1021/acs.est.4c02030, 2024.

      2. Shen W., Wang, M.(*), Riemer, N., Zheng, Z., Liu, Y., and Dong, X. Improving BC mixing state and CCN activity representation with machine learning in the Community Atmosphere Model Version 6 (CAM6), J. Adv. Model. Earth Syst., 16(1), e2023MS003889, https://doi.org/10.1029/2023MS003889, 2024. (威立Wiley中国开放科学高贡献作者奖)

     1. Shen W., Wang, M.(*), Liu, Y., Dong, X., Zhao, D., Yue, M., Tian, P., and Ding, D. Evaluating BC aging processes in the community atmosphere model version 6 (CAM6), J. Geophys. Res. Atmos., 128(3), e2022JD037427, https://doi.org/10.1029/2022JD037427, 2023.

        其他合作作者论文：

        7. Shao, X., Liu, Y., Dong, X.(*), Wang, M.(*), Xu, R., Thornton, J. A., Jo, D. S., Yue, M., Shen, W., Shrivastava, M., Arnold, S. R., and Carslaw, K. S. A modeling study of global distribution and formation pathways of highly oxygenated organic molecules (HOMs) from monoterpenes, Atmos. Chem. Phys., 26, 6427-6448, https://doi.org/10.5194/acp-26-6427-2026, 2026.

        6. Shao, X., Wang, M.(*), Dong, X.(*), Liu, Y., Arnold, S. R., Regayre, L. A., Jo, D. S., Shen, W., Wang, H., Yue, M., Wang, J., Zhang, W., and Carslaw, K. S. The effect of organic nucleation on the indirect radiative forcing with a semi-explicit chemical mechanism for highly oxygenated organic molecules (HOMs), Atmos. Chem. Phys., 26, 4439-4451, https://doi.org/10.5194/acp-26-4439-2026, 2026.

        5. Shao, X., Wang, M.(*), Dong, X.(*), Liu, Y., Shen, W., Arnold, S. R., Regayre, L. A., Andreae, M. O., Pöhlker, M. L., Jo, D. S., Yue, M., and Carslaw, K. S. Global modeling of aerosol nucleation with a semi-explicit chemical mechanism for highly oxygenated organic molecules (HOMs), Atmos. Chem. Phys., 24(19), 11365-11389, https://doi.org/10.5194/acp-24-11365-2024, 2024.

       4. Dong, L., Wang, M.(*), Rosenfeld, D., Zhu, Y., Wang, Y., Dong, X., Liu, Z., Wang, H., Zeng, Y., Cao, Y., Lu, X., Liu, J., and Shen, W. Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires, Atmos. Res., 302, 107295, https://doi.org/10.1016/j.atmosres.2024.107295, 2024.

      3. Liu, J., Shen, W., Yuan, Y.(*), and Dong, S. Optical characteristics and radiative properties of aerosols in Harbin, Heilongjiang Province during 2017, Atmosphere, 12(4), 463, https://doi.org/10.3390/atmos12040463, 2021.

        2. Chen, Q., Shen, W., Yuan, Y.(*), Xie, M., and Tan, H. Inferring fine-mode and coarse-mode aerosol complex refractive indices from AERONET inversion products over China, Atmosphere, 10(3), 158, https://doi.org/10.3390/atmos10030158, 2019.

       1. Chen, Q., Shen, W., Yuan, Y.(*), and Tan, H. Verification of aerosol classification methods through satellite and ground-based measurements over Harbin, Northeast China, Atmos. Res., 216, 167-175, https://doi.org/10.1016/j.atmosres.2018.09.022, 2019.