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)的大气模拟器开发

        2. 融合AI与地球系统模式，发展物理-AI混合型数值模式

        3. 减排对黑碳气溶胶-云-辐射相互作用的影响

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/通讯（*）作者论文：

        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[J]. Advances in Atmospheric Sciences, 2025. (Accepted).

        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[J]. Environmental Science & Technology, 58(31): 13697-13706, 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]. Journal of Advances in Modeling Earth Systems, 16(1), 2024. (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]. Journal of Geophysical Research: Atmospheres, 128(3), 2023.

        合作作者论文：

        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)[J]. Atmospheric Chemistry and Physics, 2025. (Accepted).

        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)[J]. Atmospheric Chemistry and Physics, 24(19): 11365-11389, 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[J]. Atmospheric Research, 302: 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[J]. Atmosphere, 12(4): 463, 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[J]. Atmosphere, 10(3): 158, 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[J]. Atmospheric Research, 216: 167-175, 2019.