Wenxiang Shen

Postdoctoral Researcher

Email: wenxiang.shen@nju.edu.cn / shenwx@smail.nju.edu.cn

Office: Room B204, School of Atmospheric Sciences, Nanjing University

Work Experience

Research Interests

Research Projects

1.  4. 2026, 'GeoX' Interdisciplinary Project of Frontiers Science Center for Critical Earth Material Cycling, AI-empowered aerosol microphysical representation and climate warming forecast under carbon neutrality, PI.

2.  3. 2026–2028, National Natural Science Foundation of China (NSFC) Young Scientists Fund: Improving the representation of black carbon mixing state heterogeneity with deep learning in climate models. PI.

3.  2. 2025-2027, China Postdoctoral Science Foundation (CPSF) General Program, Deep learning-based parameterization of aerosol hygroscopicity and cloud condensation nuclei (CCN) activation, PI.

4.  1. 2024, Fundamental Research Funds for the Central Universities, AI & AI for Science Project, PI.

Academic Services

1. Reviewer for Geoscientific Model Development, Atmospheric Chemistry and Physics, Journal of Geophysical Research: Atmospheres, and Remote Sensing

Publications: Co-first (#)/Corresponding (*) Author

1. 13. Wang, J., Shen, W.(*), Wang, M., Zheng, Z., Jiang, F., Li, T., Liu, Y., Yue, M., Dong, X., Zhu, H., Shao, X., Zhan, C., and Xu, X. Quantifying Black Carbon Mixing State Heterogeneity Using a Machine Learning Model, J. Geophys. Res. Atmos.,  131(17), e2026JD046694, https://doi.org/10.1029/2026JD046694, 2026.

2. 12.  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., 12, eaef9665, https://doi.org/10.1126/sciadv.aef9665, 2026. (Media coverage:  https://mp.weixin.qq.com/s/766Rn1Xn-7kH4uL1Z0dKIw)

3. 11. 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: https://mp.weixin.qq.com/s/TU6LsqWigFVD3sk5Q2SyHA)

4. 10. 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.

5. 9. 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. (Outstanding Contribution Award from the Wiley China Excellent Author Program, Media coverage:   https://as.nju.edu.cn/e6/c9/c11323a648905/page.htm)

6. 8. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.