刘亚雯
邮箱：liuyawen@nju.edu.cn
办公室：大气科学学院A416
教育经历
2016.01 - 2017.12： 美国太平洋西北国家实验室，联合培养博士
2012.07 - 2018.06：南京大学，大气科学专业，理学博士
2008.09 - 2012.06: 南京大学，大气科学专业，理学学士
工作经历
2018.07 - 2024.06 ：南京大学大气科学学院，助理研究员
2024.07- : 南京大学大气科学学院 准聘助理教授
研究方向
气候变化影响及应对
* 可再生能源与气候变化： 天气气候对可再生能源潜势的影响和预估（极端能源天气事件）、基于CESM2模发展能源模块
* 野火-天气气候相互作用: 气候变化背景下野火的演变特征及其天气气候反馈【观测&CESM2模式】
* 地球工程的天气气候影响: 海洋低云增亮
气溶胶-云-辐射-气候相互作用
*气溶胶减排的天气气候效应： 当前和未来减排背景下气溶胶的响应特征及天气气候影响
招生信息
招收硕士、博士研究生，欢迎感兴趣的同学加入！
项目
国自然面上项目：减排背景下中国地区低风-低光复合事件的变化及机制，202601-202912， 主持
国自然青年项目：基于中国地区减排背景对中国地区人为气溶胶辐射强迫估计的涌现约束研究，202201-202412，主持
江苏省青年项目：当前和未来减排对长三角太阳能光伏发电的影响研究， 202107 -202406 主持
发表文章
Zhang, Y., Liu, Y*., Huang, K.-E., Zhu, H., & Wang, M. (2026). Dust-induced losses in solar photovoltaic potential and their long-term changes over North Africa. Earth's Future, 14, e2025EF006914. https://doi.org/10.1029/2025EF006914
Wang, L.+, Liu, Y.+, Zhao, L., Lu, X., Huang, L., Jin, Y., ... & Qin, Y. (2025). Unraveling climate change-induced compound low-solar- low-wind extremes in China. National Science Review, 12(1), nwae424.
Liu, Y., Qian, Y., Rasch, P. J., Zhang, K., Leung, L.-R., Wang, Y., Wang, M., Wang, H., Huang, X., and Yang, X.-Q. (2024): Fire–precipitation interactions amplify the quasi-biennial variability in fires over southern Mexico and Central America, Atmos. Chem. Phys., 24, 3115–3128, https://doi.org/10.5194/acp-24-3115-2024.
Liu, Y., Wang, M., Yue, M. and Qian, Y., 2023. Distinct seasonality in aerosol responses to emission control over Northern China. Journal of Geophysical Research: Atmospheres, 128(11), p.e2022JD038377.
Liu, Y., Wang, M., Qian, Y. and Ding, A., 2022. A strong anthropogenic black carbon forcing constrained by pollution trends over China. Geophysical Research Letters, 49(10), p.e2022GL098965.
Liu, Y., Liu, Y., Wang, M., Dong, X., Zheng, Y., Shrivastava, M., Qian, Y., Bai, H., Li, X. and Yang, X.Q., 2021. Anthropogenic–biogenic interaction amplifies warming from emission reduction over the southeastern US. Environmental Research Letters, 16(12),p.124046.
Li, X., Liu, Y.*, Wang, M., Jiang, Y. and Dong, X., 2021. Assessment of the Coupled Model Intercomparison Project phase 6 (CMIP6) Model performance in simulating the spatial-temporal variation of aerosol optical depth over Eastern Central China. Atmospheric Research, 261, p.105747.
Liu, Y., Zhang, K., Qian, Y., Wang, Y., Zou, Y., Song, Y., Wan, H., Liu, X. and Yang, X.Q., 2018. Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles. Atmospheric Chemistry and Physics, 18(1), pp.31-47.
Yue, M., Dong, X., Wang, M., Emmons, L.K., Liang, Y., Tong, D., Liu, Y. and Liu, Y., 2023. Modeling the Air Pollution and Aerosol‐PBL Interactions Over China Using a Variable‐Resolution Global Model. Journal of Geophysical Research: Atmospheres, 128(22), p.e2023JD039130.
Liu, Y., Dong, X., Emmons, L.K., Jo, D.S., Liu, Y., Shrivastava, M., Yue, M., Liang, Y., Song, Z., He, X. and Wang, M., 2023. Exploring the Factors Controlling the Long‐Term Trend (1988–2019) of Surface Organic Aerosols in the Continental United States by Simulations. Journal of Geophysical Research: Atmospheres, p.e2022JD037935.
Shen, W., Wang, M., Liu, Y., Dong, X., Zhao, D., Yue, M., Tian, P. and Ding, D., 2023. Evaluating BC Aging Processes in the Community Atmosphere Model Version 6(CAM6). Journal of Geophysical Research: Atmospheres, 128(3), p.e2022JD037427.
Zhou, M., Nie, W., Qiao, L., Huang, D.D., Zhu, S., Lou, S., Wang, H., Wang, Q., Tao, S., Sun, P. and Liu, Y., 2022. Elevated formation of particulate nitrate from N2O5 hydrolysis in the Yangtze River Delta region from 2011 to 2019. Geophysical Research Letters, 49(9), p.e2021GL097393.
Yue, M., Wang, M., Guo, J., Zhang, H., Dong, X. and Liu, Y., 2021. Long-term trend comparison of planetary boundary layer height in observations and CMIP6 models over China. Journal of Climate, 34(20), pp.8237-8256.
Liu, Y., Dong, X., Wang, M., Emmons, L.K., Liu, Y., Liang, Y., Li, X. and Shrivastava, M., 2020. Analysis of Secondary Organic Aerosol Simulation Bias in the Community Earth System Model (CESM2. 1). Atmospheric Chemistry & Physics.
Bai, H., Wang, M., Zhang, Z. and Liu, Y., 2020. Synergetic satellite trend analysis of aerosol and warm cloud properties ver ocean and its implication for aerosol‐cloud interactions. Journal of Geophysical Research: Atmospheres, 125(6), p.e2019JD031598.