Wenxiang Shen
Postdoctoral Researcher
Email: wenxiang.shen@nju.edu.cn
Office: B204
Education
| 2020 - 2024 | Ph.D | Nanjing University, China |
| 2018 - 2020 | M.S. | Harbin Institute of Technology, China |
| 2014 - 2018 | B.S. | Harbin Institute of Technology, China |
Work Experience
| 2024 - present | Postdoctoral Researcher | Nanjing University, China |
Research Interests
| 1. | Integrating Artificial Intelligence (AI) and Atmospheric Models to Develop Hybrid Climate Models |
| 2. | Machine Learning-Based Parameterization of Aerosol Physical and Chemical Processes |
| 3. | Impacts of Emission Reduction Policies on Aerosol-Cloud Interactions |
Research Projects
2024, Fundamental Research Funds for the Central Universities, AI & AI for Science Project, PI
2025, China Postdoctoral Science Foundation, Deep learning-based parameterization of aerosol hygroscopicity and cloud condensation nucleation activation, PI
Academic Services
Journal Reviewers: Geoscientific Model Development、Atmospheric Chemistry and Physics、Journal of Geophysical Research: Atmospheres、Remote Sensing
Selected Publications
10. 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, 43: 361-372, 2026. (Editor's Recommendation)
9. 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.
8. 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. (Outstanding Contribution Award from the Wiley China Excellent Author Program)
7. 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.
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.