刘亚雯
邮箱:liuyawen@nju.edu.cn
办公室:bwin必赢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:bwin必赢,大气科学专业,理学博士
2008.09 - 2012.06: bwin必赢,大气科学专业,理学学士
工作经历
2018.07 - 2024.06:bwin必赢,助理研究员
2024.07- : bwin必赢 准聘助理教授
研究方向
气溶胶-云-辐射-气候相互作用
* 减排背景下中国地区气溶胶、辐射长期变化趋势
* 野火多尺度变率及野火气溶胶-天气气候相互作用
* CMIP6多模式评估及观测约束
发表文章
[1] Liu, Y., Qian, Y., Rasch, P. J., Zhang, K., Leung, L.-R., Wang, Y., Wang, M., Wang, H., Huang, X., and Yang, X.-Q.: 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, 2024.ß
[2] 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. [AGU EOS亮点文章]
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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 Discussions.
[13] 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.