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  • 杨洋

    的个人主页 http://faculty.nuist.edu.cn/yang_yang/zh_CN/index.htm

  •   教授   博士生导师   硕士生导师
个人简介

杨洋,教授,博士生导师。国家海外引才计划青年学者,江苏省杰青,江苏特聘教授,双创个人。1986年12月生, 籍贯江苏南京。本科毕业于南京信息工程大学大气科学专业,2014年在中国科学院大气物理研究所获得博士学位。分别在加州大学圣地亚哥分校和美国西北太平洋国家实验室从事博士后工作,并取得永久研究员职位,担任Earth Scientist。2019年加入南京信息工程大学。从事大气环境和气候变化等交叉领域的模式研究。


姓    名:  杨洋

出生年月:  1986年12月

性    别:  

职    称:  教授

职    务:  副院长

最高学历:  博士

所属专业:  环境科学

毕业院校:  中科院大气物理研究所

研究方向:  大气环境与气候变化相互作用

办公地点:  C202

邮    箱:  yang.yang@nuist.edu.cn  课题组网站:yangyang.ac.cn

主要研究领域:大气环境、气候变化


教育背景:  

  • 2009.9 — 2014.7 中国科学院大气物理研究所 大气物理与大气环境 博士

  • 2005.9 — 2009.7 南京信息工程大学 大气科学 学士

工作经历:  

  • 2019.5 — 至今 南京信息工程大学 环境科学与工程学院 教授

  • 2019.2 — 2019.5 美国西北太平洋国家实验室 大气科学与全球变化部 Earth Scientist

  • 2016.5 — 2019.1 美国西北太平洋国家实验室 大气科学与全球变化部 Post Doctorate Research Associate

  • 2015.2 — 2016.4 加州大学圣地亚哥分校 斯克里普斯海洋研究所 Postdoctoral Researcher

  • 2014.7 — 2015.1 中国科学院大气物理研究所 助理研究员

学术兼职:  

  • (1) 美国地球物理学会(AGU)会员、美国气象学会(AMS)会员、美华海洋大气协会(COAA)会员

  • (2) 美国航空航天局NASA Proposal Panel Review

  • (3) 美国海洋和大气管理局NOAA Proposal Review

  • (4) 国际期刊审稿:Environmental Science & Technology, Atmospheric Chemistry and Physics, Science of the Total Environment, Climate Dynamics, Journal of Geophysical Research, Atmospheric Environment, Geophysical Research Letters, Environmental Science and Pollution Research, Journal of Applied Meteorology and Climatology, Atmosphere等

荣誉获奖:  

  • 2021,江苏省杰出青年基金

  • 2020,谢义炳青年气象科技奖

  • 2019,中组部“国家海外人才计划” 青年学者

  • 2019,江苏省双创个人

  • 2019,江苏特聘教授

近期主要论著:

2022

[ 63 ] Yang, Y.*, Ren, L., Wu, M., Wang, H.*, Song, F., Leung, L. R., Hao, X., Li, J., Chen, L., Li, H., Zeng, L., Zhou, Y., Wang, P., Liao, H., Wang, J., and Zhou, Z.-Q., Abrupt emissions reductions during COVID-19 contributed to record summer rainfall in China, Nat. Commun., 13, 959, https://doi.org/10.1038/s41467-022-28537-9, 2022. [PDF]

[ 62 ] Yang, Y.*, Li, M., Wang, H., Li, H., Wang, P., Li, K., Gao, M., and Liao, H., ENSO modulation of summertime tropospheric ozone over China, Environ. Res. Lett., https://doi.org/10.1088/1748-9326/ac54cd, 2022. [PDF]

[ 61 ] Li, M., Yang, Y.*, Wang, P., Ji, D., and Liao, H., Impacts of strong El Niño on summertime near-surface ozone over China, Atmos. Oceanic Sci. Lett., https://doi.org/10.1016/j.aosl.2022.100193, 2022. [PDF]

[ 60 ] Xie, B., Yang, Y.*, Wang, P., and Liao, H., Impacts of ENSO on wintertime PM2.5 pollution over China during 2014–2021, Atmos. Oceanic Sci. Lett., https://doi.org/10.1016/j.aosl.2022.100189, 2022. [PDF]

[ 59 ] Lin, J., Zhou, C., Chen, L., Huang, G., Lamarque, J.-F., Nie, J., Yang, J., Hu, K., Liu, P., Wang, J., Yang, X., Yang, Y., and Hu, Y., Sulfur emissions from consumption by developed and developing countries produce comparable climate impacts, Nat. Geosci., https://doi.org/10.1038/s41561-022-00898-2, 2022. [PDF]

[ 58 ] Chen, D., Liao, H., Yang, Y., Chen, L., Zhao, D., and Ding, D., Simulated impacts of vertical distributions of black carbon aerosol on meteorology and PM2.5 concentrations in Beijing during severe haze events, Atmos. Chem. Phys., 22, 1825–1844, https://doi.org/10.5194/acp-22-1825-2022, 2022. [PDF]

2021

[ 57 ] Yang, Y.*, Zhou, Y., Li, K., Wang, H., Ren, L., Zeng, L., Li, H., Wang, P., Li., B., and Liao, H., Atmospheric circulation patterns conducive to severe haze in eastern China have shifted under climate change, Geophys. Res. Lett., 48, e2021GL095011, https://doi.org/10.1029/2021GL095011, 2021. [PDF]

[ 56 ] Ren, L., Yang, Y.*, Wang, H., Wang, P., Chen, L., Zhu, J., and Liao, H., Aerosol transport pathways and source attribution in China during the COVID-19 outbreak, Atmos. Chem. Phys., 21, 15431–15445, https://doi.org/10.5194/acp-21-15431-2021, 2021. [PDF]

[ 55 ] Zeng, L., Yang, Y.*, Wang, H., Wang, J., Li, J., Ren, L., Li, H., Zhou, Y., Wang, P., and Liao, H., Intensified modulation of winter aerosol pollution in China by El Niño with short duration, Atmos. Chem. Phys., 21, 10745–10761, https://doi.org/10.5194/acp-21-10745-2021, 2021. [PDF]

[ 54 ] Li, H., Yang, Y.*, Wang, H., Li, B., Wang, P., Li, J., and Liao, H., Constructing a spatiotemporally coherent long-term PM2.5 concentration dataset over China during 1980–2019 using a machine learning approach, Sci. Total Environ., 765, 144263, https://doi.org/10.1016/j.scitotenv.2020.144263, 2021. [PDF]

[ 53 ] Wang, P., Yang, Y.*, Tang, J.*, Leung, L. R., and Liao, H., Intensified Humid Heat Events under Global Warming, Geophys. Res. Lett., 48, e2020GL091462, https://doi.org/10.1029/2020GL091462, 2021. [PDF]

[ 52 ] Chen, D., Liao, H.*, Yang, Y.*, Chen, L., and Wang, H., Simulated aging processes of black carbon and its impact during a severe winter haze event in the Beijing-Tianjin-Hebei region, Sci. Total Environ., 755, 142712, https://doi.org/10.1016/j.scitotenv.2020.142712, 2021. [PDF]

[ 51 ] Gao, M., Yang, Y., Liao, H., Zhu, B., Zhang, Y., Liu, Z., Lu, X., Wang, C., Zhou, Q., Wang, Y., Zhang, Q., Carmichael, G. R., and Hu, J., Reduced light absorption of black carbon (BC) and its influence on BC-boundary-layer interactions during “APEC Blue”, Atmos. Chem. Phys., 21, 11405–11421, https://doi.org/10.5194/acp-21-11405-2021, 2021. [PDF]

[ 50 ] Li, B., Chen, L., Shen, W., Jin, J., Wang, T., Wang, P., Yang, Y., and Liao, H., Improved gridded ammonia emission inventory in China, Atmos. Chem. Phys., 21, 15883–15900, https://doi.org/10.5194/acp-21-15883-2021, 2021. [PDF]

[ 49 ] Cao, Y., Yue, X., Lei, Y., Zhou, H., Liao, H., Song, Y., Bai, J., Yang, Y., Chen, L., Zhu, J., Ma, Y., and Tian, C., Identifying the drivers of modeling uncertainties in isoprene emissions: Schemes versus meteorological forcings, J. Geophys. Res. Atmos., 126, e2020JD034242, https://doi.org/10.1029/2020JD034242, 2021. [PDF]

[ 48 ] Cao, Y., Yue, X., Liao, H., Yang, Y., Zhu, J., Chen, L., Tian, C., Lei, Y., Zhou, H., and Ma, Y., Ensemble projection of global isoprene emissions by the end of 21st century using CMIP6 models, Atmos. Environ., 267, 118766, https://doi.org/10.1016/j.atmosenv.2021.118766, 2021. [PDF]

[ 47 ] Wang, J., Liu, Y., Ding Y., Yang, Y., Xu, Y., Li, Q., Zhang Y., Gao M., Yang, J., Wu, Q., Li, C., Li, M., Future changes in the meteorological potential for winter haze over Beijing during periods of peak carbon emissions and carbon neutrality in China projected by Coupled Model Intercomparison Project Phase 6 models, Int. J. Climatol., 1–18. https://doi.org/10.1002/joc.7352, 2021. [PDF]

[ 46 ] Lei, Y., Yue, X., Liao, H., Zhang, L., Yang, Y., Zhou, H., Tian, C., Gong, C., Ma, Y., Gao, L., and Cao, Y., Indirect contributions of global fires to surface ozone through ozone–vegetation feedback, Atmos. Chem. Phys., 21, 11531–11543, https://doi.org/10.5194/acp-21-11531-2021, 2021. [PDF]

[ 45 ] Jones, C. D., Hickman, J. E., Rumbold, S. T., Walton, J., Lamboll, R. D., ..., Yang, Y. et al., The climate response to emissions reductions due to COVID-19: Initial results from CovidMIP, Geophys. Res. Lett., 48, e2020GL091883, https://doi.org/10.1029/2020GL091883, 2021. [PDF]

[ 44 ] Zhu, J., Chen, L., Liao, H., Yang, H., Yang, Y., and Yue, X., Enhanced PM2.5 decreases and O3 increases in China during COVID-19 lockdown by aerosol-radiation feedback, Geophys. Res. Lett., 48, e2020GL090260, https://doi.org/10.1029/2020GL090260, 2021. [PDF]

[ 43 ] Wang, M., Xu, B., Wang, H., Zhang, R., Yang, Y., Gao, S., Tang, X., and Wang, N., Black carbon deposited in Hariqin Glacier of the Central Tibetan Plateau record changes in the emission from Eurasia, Environ. Pollut., 273, 115778, https://doi.org/10.1016/j.envpol.2020.115778, 2021. [PDF]

[ 42 ] Dai, H., Zhu, J., Liao, H., Li, J., Liang, M., Yang, Y., and Yue, X., Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013–2019: Spatiotemporal distribution and meteorological conditions, Atmos. Res., 249, 105363, https://doi.org/10.1016/j.atmosres.2020.105363, 2021. [PDF]

[ 41 ] Corral, A. F., Braun, R., Cairns, B., Gorooh, V. A., Liu, H., Ma, L., Mardi, A., Painemal, D., Stamnes, S., van Diedenhoven, B., Wang, H., Yang, Y., Zhang, B., and Sorooshian, A., An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast – Part 1: Analysis of Aerosols, Gases, and Wet Deposition Chemistry, J. Geophys. Res. Atmos., 126, e2020JD032592, https://doi.org/10.1029/2020JD032592, 2021. [PDF]

2020

[ 40 ] Yang, Y.*, Ren, L., Li, H., Wang, H., Wang, P., Chen, L., Yue, X., and Hong, L., Fast climate responses to aerosol emission reductions during the COVID-19 pandemic, Geophys. Res. Lett., 47, e2020GL089788, https://doi.org/10.1029/2020GL089788, 2020. [PDF]

[ 39 ] Yang, Y., Lou, S., Wang, H., Wang, P., and Liao, H., Trends and source apportionment of aerosols in Europe during 1980–2018, Atmos. Chem. Phys., 20, 2579–2590, https://doi.org/10.5194/acp-20-2579-2020, 2020. [PDF]

[ 38 ] Ren, L., Yang, Y.*, Wang, H., Zhang, R., Wang, P., and Liao, H., Source attribution of Arctic black carbon and sulfate aerosols and associated Arctic surface warming during 1980–2018, Atmos. Chem. Phys., 20, 9067–9085, https://doi.org/10.5194/acp-20-9067-2020, 2020. [PDF]

[ 37 ] Zhu, J., Chen, L., Liao, H., Yang, H., Yang, Y., and Yue, X., Enhanced PM2.5 decreases and O3 increases in China during COVID-19 Lockdown by aerosol-radiation feedback, Geophys. Res. Lett., 47, e2020GL090260, https://doi.org/10.1029/2020GL090260, 2020. [PDF]

[ 36 ] Chen, L., Zhu, J., Liao, H., Yang, Y., and Yue, X., Meteorological influences on PM2.5 and O3 trends and associated health burden since China's clean air actions, Sci. Total Environ., 744, 140837, https://doi.org/10.1016/j.scitotenv.2020.140837, 2020. [PDF]

[ 35 ] Gong, C., Liao, H., Zhang, L., Yue, X., Dang, R., and Yang, Y., Persistent ozone pollution episodes in North China exacerbated by regional transport, Environ. Pollut., 265, 115056, https://doi.org/10.1016/j.envpol.2020.115056, 2020. [PDF]

[ 34 ] Dong, Y., Li, J., Guo, J., Jiang, Z., Chu, Y., Chang, L., Yang, Y., and Liao, H., The impact of synoptic patterns on summertime ozone pollution in the North China Plain, Sci. Total Environ., 735, 139559, https://doi.org/10.1016/j.scitotenv.2020.139559, 2020. [PDF]

[ 33 ] Yu, H., Yang, Y., Wang, H., Tan, Q., Chin, M., Levy, R. C., Remer, L. A., Smith, S. J., Yuan, T., and Shi, Y., Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017, Atmos. Chem. Phys., 20, 139–161, https://doi.org/10.5194/acp-20-139-2020, 2020. [PDF]

[ 32 ] Wang, H., Easter, R., Zhang, R., Ma, P.-L., Singh, B., Zhang, K., Ganguly, D., ..., Yang, Y. et al., Aerosols in the Energy Exascale Earth System Model (E3SM) version 1: New developments and their impacts on radiative forcing, J. Adv. Model Earth Sy., 12, e2019MS001851, https://doi.org/10.1029/2019MS001851, 2020. [PDF]

2019

[ 31 ] Yang, Y., Smith, S. J., Wang, H., Lou, S., and Rasch, P. J., Impact of anthropogenic emission injection height uncertainty on global sulfur dioxide and aerosol distribution, J. Geophys. Res. Atmos., 124, 4812-4826, https://doi.org/10.1029/2018JD030001, 2019. [PDF]

[ 30 ] Yang, Y., Smith, S. J., Wang, H., Mills, C. M., and Rasch, P. J., Variability and timescales in the climate response to black carbon emissions, Atmos. Chem. Phys., 19, 2405-2420, https://doi.org/10.5194/acp-19-2405-2019, 2019. [PDF]

[ 29 ] Lou, S., Yang, Y.*, Wang, H., Lu, J., Smith, S. J., Liu, F., and Rasch, P. J., Black carbon increases frequency of extreme ENSO events, J. Climate, 32, 8323–8333, https://doi.org/10.1175/JCLI-D-19-0549.1, 2019. [PDF]

[ 28 ] Lou, S., Yang, Y.*, Wang, H., Smith, S. J., Qian, Y., and Rasch, P. J., Black carbon amplifies haze over the North China Plain by weakening the East Asian winter monsoon, Geophys. Res. Lett., 46, 452–460, https://doi.org/10.1029/2018GL080941, 2019. (ESI Highly Cited Paper) [PDF]

[ 27 ] Fu, Y., Liao, H., and Yang, Y., Interannual and Decadal Changes in Tropospheric Ozone in China and the Associated Chemistry-Climate Interactions: A Review, Adv. Atmos. Sci., 46, 452–460, https://doi.org/10.1007/s00376-019-8216-9, 2019. [PDF]

[ 26 ] Caldwell, P. M., Mametjanov, A., Tang, Q., Van Roekel, L. P., Golaz, J.‐C., ..., Yang, Y. et al., The DOE E3SM coupled model version 1: Description and results at high resolution, J. Adv. Model Earth Sy., 11, 4095–4146, https://doi.org/10.1029/2019MS001870, 2019. [PDF]

[ 25 ] Fanourgakis, G. S., Kanakidou, M., Nenes, A., Bauer, S. E., Bergman, T., Carslaw, K. S., ..., Yang, Y. et al., Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation, Atmos. Chem. Phys., 19, 8591–8617, https://doi.org/10.5194/acp-19-8591-2019, 2019 [PDF]

[ 24 ] Golaz, J.‐C., Caldwell, P. M., Van Roekel, L. P., Petersen, M. R., Tang, Q., Wolfe, J. D., ..., Yang, Y. et al., The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution, J. Adv. Model Earth Sy., 11, 2089–2129, https://doi.org/10.1029/2018MS001603, 2019 [PDF]

[ 23 ] Rasch, P. J., Xie, S., Ma, P.‐L., Lin, W., Wang, H., Tang, Q., Burrows, S. M., ..., Yang, Y. et al., An Overview of the Atmospheric Component of the Energy Exascale Earth System Model, J. Adv. Model Earth Sy., 11, 2377–2411, https://doi.org/10.1029/2019MS001629, 2019 [PDF]

2018

[ 22 ] Yang, Y., Wang, H., Smith, S. J., Zhang, R., Lou, S., Yu, H., Li, C., and Rasch, P. J., Source apportionments of aerosols and their direct radiative forcing and long-term trends over continental United States, ‎ Earth's Future, 6, 793–808, https://doi.org/10.1029/2018EF000859, 2018. [PDF]

[ 21 ] Yang, Y., Wang, H., Smith, S. J., Zhang, R., Lou, S., Qian, Y., Ma, P.-L., and Rasch, P. J., Sci. Rep., 8, 2107, https://doi.org/10.1038/s41598-018-20437-7, 2018. (Reported by PNNL Highlight, ESI Highly Cited Paper) [PDF]

[ 20 ] Yang, Y., Wang, H., Smith, S. J., Easter, R. C., and Rasch, P. J., Sulfate aerosol in the Arctic: Source attribution and radiative forcing, J. Geophys. Res. Atmos., 123, 1899–1918, https://doi.org/10.1002/2017JD027298, 2018. (Figure Published on Journal Cover; Reported by PNNL Highlight[PDF]

[ 19 ] Zhang, R., Wang, H., Fu, Q., Pendergrass, A. G., Wang, M., Yang, Y., Ma, P.-L., and Rasch, P. J., Local radiative feedbacks over the Arctic based on observed short‐term climate variations, Geophys. Res. Lett., 45, https://doi.org/10.1029/2018GL077852, 2018. [PDF]

[ 18 ] Li, K., Liao, H., Cai, W., and Yang, Y., Attribution of anthropogenic influence on atmospheric patterns conducive to recent most severe haze over eastern China, Geophys. Res. Lett., 45, 2072–2081, https://doi.org/10.1002/2017GL076570, 2018. [PDF]

2017

[ 17 ] Yang, Y., Russell, L. M., Lou, S., Liao, H., Guo, J., Liu, Y., Singh, B., and Ghan, S. J., Dust-wind interactions can intensify aerosol pollution over eastern China, Nat. Commun., 8, 15333, https://doi.org/10.1038/ncomms15333, 2017. (Reported by BBCthe GuardianScienceDaily etc., ASGC Paper of the Year, ESI Highly Cited Paper) [PDF]

[ 16 ] Yang, Y., Wang, H., Smith, S. J., Easter, R., Ma, P.-L., Qian, Y., Yu, H., Li, C., and Rasch, P. J., Global source attribution of sulfate concentration and direct and indirect radiative forcing, Atmos. Chem. Phys., 17, 8903–8922, https://doi.org/10.5194/acp-17-8903-2017, 2017. [PDF]

[ 15 ] Yang, Y., Wang, H., Smith, S. J., Ma, P.-L., and Rasch, P. J., Source attribution of black carbon and its direct radiative forcing in China, Atmos. Chem. Phys., 17, 4319–4336, https://doi.org/10.5194/acp-17-4319-2017, 2017. (Reported by BAMSPhys.orgPNNL Highlight[PDF]

[ 14 ] Lou, S., Russell, L. M., Yang, Y. Liu, Y., Singh, B., and Ghan, S. J., Impacts of interactive dust and its direct radiative forcing on interannual variations of temperature and precipitation in winter over East Asia, J. Geophys. Res. Atmos., 122, 8761–8780, https://doi.org/10.1002/ 2017JD027267, 2017. [PDF]

[ 13 ] Zhu, J., Liao, H., Mao, Y., Yang, Y., and Jiang, H., Interannual variation, decadal trend, and future change in ozone outflow from East Asia, Atmos. Chem. Phys., 17, 3729–3747, https://doi.org/10.5194/acp-17-3729-2017, 2017. [PDF]

[ 12 ] Feng, J., Li, J., Zhu, J., Liao, H., and Yang, Y., Simulated contrasting influences of two La Niña Modoki events on aerosol concentrations over eastern China, J. Geophys. Res. Atmos., 122, 2734–2749, https://doi.org/10.1002/2016JD026175, 2017. [PDF]

2016

[ 11 ] Yang, Y., Liao, H., and Lou, S., Increase in winter haze over eastern China in recent decades: Roles of variations in meteorological parameters and anthropogenic emissions, J. Geophys. Res. Atmos., 121, 13,050–13,065, https://doi.org/10.1002/2016JD025136, 2016. [PDF]

[ 10 ] Yang, Y., Russell, L. M., Lou, S., Lamjiri, M. A., Liu, Y., Singh, B., and Ghan, S. J., Changes in Sea Salt Emissions Enhance ENSO Variability, J. Climate, 29, 8575–8588, https://doi.org/10.1175/JCLI-D-16-0237.1, 2016. [PDF]

[ 9 ] Yang, Y., Russell, L. M., Xu, L., Lou, S., Lamjiri, M. A., Somerville, R. C. J., Miller, A. J., Cayan, D. R., DeFlorio, M. J., Ghan, S. J., Liu, Y., Singh, B., Wang, H., Yoon, J.-H., and Rasch, P. J., Impacts of ENSO events on cloud radiative effects in preindustrial conditions: Changes in cloud fraction and their dependence on interactive aerosol emissions and concentrations, J. Geophys. Res. Atmos., 121, 6321–6335, https://doi.org/10.1002/2015JD024503, 2016. [PDF]

[ 8 ] Yang, Y., Russell, L. M., Lou, S., Liu, Y., Singh, B., and Ghan, S. J., Rain-aerosol relationships influenced by wind speed, Geophys. Res. Lett., 43, 2267–2274, https://doi.org/10.1002/2016GL067770, 2016. [PDF]

[ 7 ] Xu, L., Cameron-Smith, P., Russell, L. M., Ghan, S. J., Liu, Y., Elliott, S., Yang, Y., Lou, S., Lamjiri, M. A., and Manizza, M., DMS role in ENSO cycle in the tropics, J. Geophys. Res. Atmos., 121, 13,537–13,558, https://doi.org/10.1002/2016JD025333, 2016. [PDF]

[ 6 ] Lou, S., Russell, L. M., Yang, Y., Xu, L., Lamjiri, M. A., DeFlorio, M. J., Miller, A. J., Ghan, S. J., Liu, Y., and Singh, B., Impacts of the East Asian Monsoon on springtime dust concentrations over China, J. Geophys. Res. Atmos., 121, 8137–8152, https://doi.org/10.1002/2016JD024758, 2016. [PDF]

2015

[ 5 ] Yang, Y., Liao, H., and Lou, S., Decadal trend and interannual variation of outflow of aerosols from East Asia: Roles of variations in meteorological parameters and emissions, Atmos. Environ., 100,141–153, https://doi.org/10.1016/j.atmosenv.2014.11.004, 2015. [PDF]

[ 4 ] Lou, S., Liao, H., Yang, Y., and Mu, Q., Simulation of the interannual variations of tropospheric ozone over China: Roles of variations in meteorological parameters and anthropogenic emissions, Atmos. Environ., 122, 839–851, https://doi.org/10.1016/j.atmosenv.2015.08.081, 2015. [PDF]

[ 3 ] Liao, H., Chang, W., and Yang, Y., Climatic effects of air pollutants over China: A review, Adv. Atmos. Sci., 32, 115–139, https://doi.org/10.1007/s00376-014-0013-x, 2015. [PDF]

2014

[ 2 ] Yang, Y., Liao, H., and Li, J., Impacts of the East Asian summer monsoon on interannual variations of summertime surface-layer ozone concentrations over China, Atmos. Chem. Phys., 14, 6867–6880, https://doi.org/10.5194/acp-14-6867-2014, 2014. [PDF]

[ 1 ] Yang, Y., Liao, H., and Lou, S., Simulated impacts of sulfate and nitrate aerosol formation on surface-layer ozone concentrations in China, Atmos. Oceanic Sci. Lett., 7, 441–446, https://doi.org/10.3878/j.issn.1674-2834.14.0033, 2014. [PDF]


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工作经历
  • [1] 2019.5 -- 至今

    南京信息工程大学      环境科学与工程学院      教授      在岗

研究方向
  • [1]  人类活动排放出的大量气态或气溶胶状态的污染物,例如氮氧化物(NOx)、二氧化硫(SO2)、可挥发性有机物(VOCs)、一次有机碳(OC)、黑碳(BC)等。气态化学物质在大气中的化学反应还能生成二次污染...
其他联系方式
  • [5] 移动电话 :
  • [6] 邮箱 :
团队成员
团队名称:大气环境与气候变化团队
团队介绍:AECC
2019 南京信息工程大学·网络信息中心 NUIST备80008