李柯，教授，博士生导师，籍贯河南南阳，国家海外高层次青年人才。本科毕业于南京信息工程大学，博士毕业于中国科学院大气物理研究所，曾在美国哈佛大学开展博士后研究工作。

长期从事大气化学与气候变化交叉领域的研究工作，主要利用大气化学数值模式，结合环境大数据和统计分析方法，致力于解决大气污染与气候领域的基础科学问题。研究揭示了我国近地表臭氧污染加剧成因、发现了华北臭氧污染季向冬季延长的现象；发现了高PM2.5条件下臭氧生成受到抑制的证据，提出PM2.5和臭氧污染协同控制策略；发现未来气候变化能够显著增加华北灰霾天气的发生频率。

发表SCI论文40余篇，被引4000余次。代表性成果发表在PNAS (2019, 2021)、Nature Geoscience (2019)、Nature Climate Change (2017)、Nature Communications (2021)、One Earth (2023)等高水平期刊。目前主持国家重点研发计划“政府间合作”重点专项、国家自然科学基金青年项目等，担任国际对流层臭氧评估计划（TOAR II）东亚工作组co-lead，担任Science Bulletin（中英文）特邀编委、Science of The Total Environment编委，Environmental Research Letters期刊Advisory Panel member，以及32种国际学术期刊的审稿工作。 

“艰苦朴素，勤奋好学，追求真理，自强不息”---南京信息工程大学校风

See my CV, and my English homepage https://faculty.nuist.edu.cn/like/en/index.htm

研究兴趣主要包括:

大气臭氧污染的变化及成因 

PM2.5和臭氧污染的协同控制策略

大气污染物的数值模拟

气候变化下极端污染事件的变化机制

空气污染和碳排放的协同控制

大数据分析在大气环境中的应用

News

加入我们：每年招收硕士生2-4名、博士生1-2名，团队长期招收博士后！

Call for Papers: JGR-Atmos Special Issue: "Emerging air pollution: emissions, chemistry, and health and climate effects" (2025年8月截止)

工作经历  

• 2021-               南京信息工程大学    教授

• 2018 - 2021     美国哈佛大学    博士后、助理研究员

• 2017 - 2018     中国科学院大气物理研究所    助研

• 2015 & 2017    澳大利亚CSIRO    访问  

荣誉获奖  

• 2023年获 “2021年度氮循环十大科学进展”（排名第1）

• 2022年获“2022年度环境保护科学技术奖一等奖”（排名第4）
  

• 2021年国家优青（海外）获得者

• 2021年入选江苏特聘教授

• 2020年获 “2019年度中国生态环境十大科技进展”（排名第2）  

• 2017年成果入选《Nature Climate Change》封面论文

主讲课程

《大气化学》、《环境科学概论》、《气溶胶观测与分析》  

指导博士后

陈曦（2023-），刘振泽（2022-）

指导研究生

赵文晴（硕2023-），周子昊（硕2023-）

Ellie Beaudry (访问博士生 2023)，

汪宇芬（硕2022-），唐明龙（硕2022-），

乔文昊（硕2021-），候杰（硕2021-），

杨镇江（硕博连读 2021-），张丹瑜婷（硕博连读 2020-）

已发表论文 (引用详见 Publons, Google scholar)

（粗体为课题组成员，*为通讯作者，#为共同第一作者）

Accepted/Under Review

[50] Zhang, L., Wang, L.L.*, Wang, R.Y., Chen, N., Yang, Y., Li, K., Sun, J., Yao, D., Wang, Y.S, Tao, M.H., and Sun, Y. Exploring formation mechanism and source attribution of ozone during the 2019 Wuhan Military World Games: Implications for ozone control strategies. Journal of Environmental Sciences https://doi.org/10.1016/j.jes.2022.12.009

2023

[49] Lyu, X.P.#, Li, K.#, Guo, H.*, Morawska, L.*, Zhou, B.N., Zeren, Y.Z., Jiang, F., Chen, C.H., Goldstein, A., Xu, X.B., Wang, T., Lu, X., Zhu, T., Querol, X., Chatani, S., Latif, M.T., Schuch, D., Sinha, V., Kumar, P., Mullins, B., Seguel, R., Shao, M., Xue, L.K., Wang, N., Chen, J.M., Gao, J., Chai, F.H., Simpson, I., Sinha, B., and Blake, D. A synergistic ozone-climate control to address emerging ozone pollution challenges, One Earth https://doi.org/10.1016/j.oneear.2023.07.004 [PDF].

[48] Wang, R.Y., Wang, L.L.*, Sun, J.R.*, Zhang, L., Li, Y.Y., Li, K., Liu, B.Y., Zhang, J.X., and Wang, Y.S. Maximizing ozone control by spatial sensitivity-oriented mitigation strategy in the Pearl River Delta Region, China Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2023.166987

[47] Chen, L., Liao, H.*, Li, K., Zhu, J., Long, Z.Y., Yue, X., Yang, Y., and Zhang, M.G. Process-level quantification on opposite PM2.5 changes during COVID-19 lockdown over North China Plain Environmental Science & Technology Letters https://doi.org/10.1021/acs.estlett.3c00490

[46] Fang, L., Jin, J.B.*, Segers, A., Liao, H.*, Li, K., Xu, B.F., Han, W., Pang, M.J., and Lin, H.X. A gridded air quality forecast through fusing site-available machine learning predictions from RFSML v1.0 and chemical transport model results from GEOS-Chem v13.1.0 using the ensemble Kalman filter, Geoscientific Model Development https://gmd.copernicus.org/articles/16/4867/2023/

[45] Li, P., Yang, Y.*, Wang, H., Li, S., Li, K., Wang, P., Li, B., and Liao, H. Source attribution of near-surface ozone trends in the United States during 1995–2019. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-23-5403-2023 [PDF]

[44] Li, S., Yang Y.*, Wang, H., Li, P., Li, K., Ren, L., Wang, P., Li, B., Mao, Y., and Liao, H., Rapid increase in tropospheric ozone over Southeast Asia attributed to changes in precursor emission source regions and sectors. Atmospheric Environment https://doi.org/10.1016/j.atmosenv.2023.119776 [PDF]

[43] Zhai, S.*, Jacob, D. J., Pendergrass, D. C., Colombi, N. K., Shah, V., Yang, L. H., Zhang, Q., Wang, S., Kim, H., Sun, Y., Choi, J.-S., Park, J.-S., Luo, G., Yu, F., Woo, J.-H., Kim, Y., Dibb, J. E., Lee, T., Han, J.-S., Anderson, B. E., Li, K., and Liao, H. Coarse particulate matter air quality in East Asia: implications for fine particulate nitrate. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-23-4271-2023 [PDF]

[42] Jin, J.B., Fang, L., Li, B.J., Liao, H.*, Wang, Y., Han, W., Li, K., Pang, M.J., Wu, X.Y, and Lin, H.X. 4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals. Environmental Research Letters https://doi.org/10.1088/1748-9326/acb835 [PDF]

[41] Li, H., Yang, Y.*, Jin, J., Wang, H., Li, K., Wang, P., and Liao, H. Climate-driven deterioration of future ozone pollution in Asia predicted by machine learning with multi-source data. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-23-1131-2023 [PDF]

[40] Dai, H.B., Liao, H.*, Li, K., Yue, X., Yang, Y., Zhu, J., Jin, J., and Li, B. Composited analyses of the chemical and physical characteristics of co-polluted days by ozone and PM2.5 over 2013–2020 in the Beijing–Tianjin–Hebei region. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-23-23-2023  [PDF]

[39] Meng, Z., Yan, K.J., Li, K., Gao, J.L., and Zhang, B.* Revealing Non-CO₂ GHG Emissions in China's Transportation Networks. Environmental Science & Technology Letters https://doi.org/10.1021/acs.estlett.2c00832 [PDF]（Journal cover）

[38] Chen, L., Liao, H.*, Zhu, J., Li, K., Bai, Y., Yue, X., Yang, Y., Hu, J.L., and Zhang, M.G. Increases in ozone-related mortality in China over 2013–2030 attributed to historical ozone deterioration and future population aging. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2022.159972 [PDF]

2022

[37] Zhang, J.*, Wang, J.F.*, Sun, Y.L., Li, J.Y., Ninneman, M., Ye, J.H., Li, K., Crandall, B., Mao, J.B., Xu, W.Q., Schwab, M., Li, W.J., Ge, X.L., Chen, M.D., Ying, Q., Zhang, Q., and Schwab, J.* Insights from ozone and particulate matter pollution control in New York City applied to Beijing. npj Climate and Atmospheric Science https://doi.org/10.1038/s41612-022-00309-8 [PDF]

[36] Lyu, X.P., Guo, H.*, Zou, Q.L., Li, K., Xiong, E.Y., Zhou, B.N., Guo, P.W., Jiang, F., and Tian, X.D.*. Evidence for reducing volatile organic compounds to improve air quality from concurrent observations and in situ simulations at 10 stations in eastern China. Environmental Science & Technology https://doi.org/10.1021/acs.est.2c04340 [PDF]

[35] Wang, H., Lu, X.*, Jacob, D.J., Cooper, O.R., Chang, K.L., Li, K., Gao, M., Liu, Y., Sheng, B., Wu, K., Wu, T., Zhang, J., Sauvage, B., Nédélec, P., Blot R., and Fan, S.J.*. Global tropospheric ozone trends, attributions, and radiative impacts in 1995–2017: an integrated analysis using aircraft (IAGOS) observations, ozonesonde, and multi-decadal chemical model simulations. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-22-13753-2022 [PDF]

[34] Zhou Y., Yang, Y.*, Wang, H.L., Wang, J., Li, M.Y., Li, H.M., Wang, P.Y., Zhu, J., Li, K., and Liao, H. Summer ozone pollution in China affected by the intensity of Asian monsoon systems. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2022.157785  [PDF]

[33] Qian J.,Liao, H.*, Yang, Y., Li, K., Chen, L., and Zhu, J. Meteorological influences on daily variation and trend of summertime surface ozone over years of 2015–2020: Quantification for cities in the Yangtze River Delta. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2022.155107  [PDF]

[32] Li, J.D., Hao, X., Liao, H.*, Wang, Y.H., Cai, W.J., Li, K., Yue, X., Yang, Y., Chen, H.S., Mao, Y.H., Fu, Y., Chen, L. and Zhu, J. Winter particulate pollution severity in North China driven by atmospheric teleconnections. Nature Geoscience https://doi.org/10.1038/s41561-022-00933-2 [PDF]

[31] Yang, Y.*, Li, M.Y., Wang, H.L., Li, H.M., Wang, P.Y., Li, K., Gao, M., and Liao, H. ENSO modulation of summertime tropospheric ozone over China. Environmental Research Letters https://doi.org/10.1088/1748-9326/ac54cd [PDF]

[30] Wei, J.*, Li, Z.Q.*, Li, K., Dickerson, R.R., Pinker, R.T., Wang, J., Liu, X., Sun, L., Xue, W.H. and  Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China. Remote Sensing of Environment https://doi.org/10.1016/j.rse.2021.112775 [PDF]

2021

[29] Ma, R.#, Li, K.#, Guo, Y.X., Zhang, B.*, Zhao, X.L., Linder, S., Guan, C.H., Chen, G.Q., Gan, Y.J. and Meng, J.* (2021). Mitigation potential of global ammonia emissions and related health impacts in the trade network. Nature Communications https://doi.org/10.1038/s41467-021-25854-3 [PDF]

[28] Li, K., Jacob, D. J.*, Liao, H.*, Qiu, Y.L., Shen, L., Zhai, S.X., Bates, K. H., Sulprizio, M. P., Song, S.J., Lu, X., Zhang, Q., Zheng, B., Zhang, Y.L., Zhang, J.Q., Lee, H.C. and Kuk, S.K. (2021). Ozone pollution in the North China Plain spreading into the late-winter haze season. Proceedings of the National Academy of Sciences https://doi.org/10.1073/pnas.2015797118 [PDF]

[27] Gao, J.L., Guan, C.H., Zhang, B.*, and Li, K.* (2021) Decreasing methane emissions from China's coal mining with rebounded coal production, Environmental Research Letters https://doi.org/10.1088/1748-9326/ac38d8 [PDF]

[26] Yin, H., Lu, X.*, Sun, Y.W.*, Li, K., Gao, M., Zheng, Bo., and Liu, C. Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology, Environmental Research Letters https://doi.org/10.1088/1748-9326/ac3e22 [PDF]

[25] Bates, K.*, Jacob, D., Li, K., Ivatt, P., Evans, M., Yan, Y., and Lin, J. Development and evaluation of a new compact mechanism for aromatic oxidation in atmospheric models, Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-21-18351-2021 [PDF]

[24] Qiu, Y., Ma, Z.*, Li, K., Huang, M., Sheng, J., Tian, P., Zhu, J., Pu, W., Tang, Y., Han, T., Zhou, H., and Liao, H. Measurement report: Fast photochemical production of peroxyacetyl nitrate (PAN) over the rural North China Plain during haze events in autumn, Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-21-17995-2021 [PDF]

[23] Yang, Y.*, Zhou, Y., Li, K., Wang, H.L., Ren, L.L., Zeng, L.Y., Li, H.M., Wang, P.Y., Li, B.J., Liao, H. (2021). Atmospheric circulation patterns conducive to severe haze in eastern China have shifted under climate change, Geophysical Research Letters https://doi.org/10.1029/2021GL095011 [PDF]

[22] Zhai, S.*, Jacob, D. J., Brewer, J. F., Li, K., Moch, J. M., Kim, J., Lee, S., Lim, H., Lee, H. C., Kuk, S. K., Park, R. J., Jeong, J. I., Wang, X., Liu, P., Luo, G., Yu, F., Meng, J., Martin, R. V., Travis, K. R., Hair, J. W., Anderson, B. E., Dibb, J. E., Jimenez, J. L., Campuzano-Jost, P., Nault, B. A., Woo, J.-H., Kim, Y., Zhang, Q., and Liao, H. (2021). Interpretation of geostationary satellite aerosol optical depth (AOD) over East Asia in relation to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and seasonality, Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-21-16775-2021 [PDF]

[21] Lu, X., Ye, X., Zhou, M., Zhao, Y., Weng, H., Kong, H., Li, K., Gao, M., Zheng, B., Lin, J., Zhou, F., Zhang, Q., Wu, D., Zhang, L.* and Zhang Y.H.* (2021). The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China. Nature Communications https://doi.org/10.1038/s41467-021-25147-9 [PDF]

[20] Zhai, S.X., Jacob, D.J.*, Wang, X., Liu, Z.R., Wen, T.X., Shah, V., Li, K., Moch, J., Bates, K.H., Song, S.J., Shen, L., Zhang, Y.Z., Luo, G., Yu, F.Q., Sun, Y.L., Wang, L.T., Qi, M.Y., Tao, J., Gui, K., Xu, H.H., Zhang, Q., Zhao, T.L., Wang, Y.S., Lee, H.C., Choi, H. and Liao, H. (2021). Control of particulate nitrate air pollution in China. Nature Geoscience https://doi.org/10.1038/s41561-021-00726-z [PDF]

[19] Song, S.J.*, Ma, T., Zhang, Y., Shen, L., Liu, P., Li, K., Zhai, S., Zheng, H., Gao, M., Duan, F., He, K., and McElroy, M. B. (2021). Global modeling of heterogeneous hydroxymethanesulfonate chemistry. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-21-457-2021 [PDF]

2020

[18] Li, K.*, Jacob, D.J., Shen, L., Lu, X., De Smedt, I. and Liao, H. (2020). Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-2020-298 [PDF]

[17] Qiu, Y.L., Ma, Z.Q.*, Li, K.*, Lin, W.L., Tang, Y.X., Dong, F. and Liao, H. (2020). Markedly enhanced levels of peroxyacetyl nitrate (PAN) during COVID-19 in Beijing. Geophysical Research Letters https://doi.org/10.1029/2020GL089623 [PDF]

[16] Lu, X., Zhang, L.*, Wang, X.L., Gao, M., Li, K., Zhang, Y.Z., Yue, X. and Zhang, Y.H.* (2020). Rapid increases in warm-season surface ozone and resulting health impact over China since 2013. Environmental Science & Technology Letters https://doi.org/10.1021/acs.estlett.0c00171 [PDF]

[15] Shah, V.*, Jacob, D.J., Li, K., Silvern, R.F., Zhai, S.X., Liu, M.Y., Lin, J.T. and Zhang, Q. (2020). Effect of changing NOx lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO2 columns over China. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-20-1483-2020 [PDF]

[14] Gu, Y.X.*, Li, K., Xu, J.M.*, Liao, H. and Zhou, G.Q. (2020). Observed dependence of surface ozone on increasing temperature in Shanghai, China. Atmospheric Environment https://doi.org/10.1016/j.atmosenv.2019.117108 [PDF]

2019

[13] Li, K., Jacob, D.J.*, Liao, H.*, Zhu, J., Shah, V., Shen, L., Bates, K.H., Zhang, Q. and Zhai, S.X. (2019). A two-pollutant strategy for improving ozone and particulate air quality in China. Nature Geoscience https://doi.org/10.1038/s41561-019-0464-x [PDF]

[12] Li, K., Jacob, D.J.*, Liao, H.*, Shen, L., Zhang, Q. and Bates, K.H. (2019). Anthropogenic drivers of 2013-2017 trends in summer surface ozone in China. Proceedings of the National Academy of Sciences https://doi.org/10.1073/pnas.1812168116 [PDF]

[11] Zhai, S.X.*, Jacob, D.J., Wang, X., Shen, L., Li, K., Zhang, Y. Z., Gui, K., Zhao, T. L. and Liao, H. (2019). Fine particulate matter (PM_2.5) trends in China, 2013–2018: separating contributions from anthropogenic emissions and meteorology. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-19-11031-2019 [PDF]

[10] Lu, X.*, Zhang, L.*, Chen, Y.F., Zhou, M., Zheng, B., Li, K., Liu, Y.M., Lin, J.T., Fu, T.M. and Zhang, Q. (2019). Exploring 2016-2017 surface ozone pollution over China: source contributions and meteorological influences. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-19-8339-2019 [PDF]

[9]  Shen. L.*, Jacob, D.J., Liu, X., Huang, G., Li, K., Liao, H., and Wang, T. (2019). An evaluation of the ability of the Ozone Monitoring Instrument (OMI) to observe boundary layer ozone pollution across China: application to 2005–2017 ozone trends. Atmospheric Chemistry and Physics https://doi.org/10.5194/acp-19-6551-2019 [PDF]

[8]  Shen, L.*, Jacob, D.J., Zhu, L., Zhang, Q., Zheng, B., Sulprizio, M.P., Li, K., De Smedt, I., Gonzalo Abad, G., Cao, H., Fu, T.-M. and Liao, H. (2019). 2005-2016 trends of formaldehyde columns over China observed by satellites: increasing anthropogenic emissions of volatile organic compounds and decreasing agricultural fire emissions. Geophysical Research Letters https://doi.org/10.1029/2019GL082172 [PDF]

[7]  Qiu, Y.L., Lin, W.L., Li, K., Chen, L., Yao, Q., Tang, Y.X. and Ma, Z.Q.* (2019). Vertical characteristics of peroxyacetyl nitrate (PAN) from a 250m tower in northern China during September 2018. Atmospheric Environment https://doi.org/10.1016/j.atmosenv.2019.05.066 [PDF]

[6]  Qiu, Y.L. Ma, Z.Q.* and Li, K. (2019). A modeling study of the peroxyacetyl nitrate (PAN) during a wintertime haze event in Beijing, China. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2018.09.253 [PDF]

2018

[5]  Li, K., Liao, H.*, Cai, W.J. and Yang, Y. (2018). Attribution of anthropogenic influence on atmospheric patterns conducive to recent most severe haze over eastern China. Geophysical Research Letters https://doi.org/10.1002/2017GL076570 [PDF]

[4]  Zhang, Y., Liao, H.*, Ding, X., Jo, D. and Li, K. (2018). Implications of RCP emissions on future concentration and direct radiative forcing of secondary organic aerosol over China. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2018.05.274 [PDF]

2017 and before

[3]  Cai, W.J., Li, K., Liao, H.*, Wang, H.J. and Wu, L.X. (2017) Weather conditions conducive to Beijing severe haze more frequent under climate change. Nature Climate Change https://doi.org/10.1038/nclimate3249 [PDF] (Highlighted by Journal cover, News & Views)

[2]  Li, K., Liao, H.*, Zhu, J. and Moch. J. (2016). Implications of RCP emissions on future PM_2.5 air quality and direct radiative forcing over China. Journal of Geophysical Research https://doi.org/10.1002/2016JD025623 [PDF]

[1]  Li, K., Liao, H.*, Mao, Y.H. and Ridley, D.A. (2016). Source sector and region contributions to concentration and direct radiative forcing of black carbon in China, Atmospheric Environment https://doi.org/10.1016/j.atmosenv.2015.06.014 [PDF]

中文期刊

[5] 杨镇江，李柯*，廖宏，陈磊, 2022年夏季历史极端高温下我国近地表臭氧污染及气象成因分析，大气科学, In press.

[4] 候杰，李柯*，张丹瑜婷, 2015-2022年我国华北地区冬季PM_2.5-O₃复合污染及特征分析，环境科学研究, In press.

[3] 杜楠，陈磊，廖宏，朱佳，李柯, 夏季对流层臭氧辐射强迫对华北地区天气和空气质量的影响，环境科学, In press.

[2] 张华，杨镇江，苏红娟，张丹瑜婷，安琪，袁畅，李帅，何静怡，谢冰，赵树云，李柯*, 短寿命气候强迫因子的自然源排放及气候反馈，大气科学学报, In press.

[1] 张丹瑜婷，廖宏*，李柯，代慧斌. 大气国十条以来我国夏季大气OH浓度变化的数值模拟. 大气科学 doi.org/10.3878/j.issn.1006-9895.2112.21218. In press.