研究方向：
1.高分辨地球系统模式的开发和应用
2.气候变化对极端天气的影响机理
3.极端天气气候与大气污染相互作用
科研项目：
1.气候变化和极端天气对大气污染的影响，国家自然科学基金优青项目，2022-01至2024-12，在研，主持
2.气候变化下我国华北地区热浪和静稳天气对臭氧影响的高精度区域模拟研究，国家自然科学基金青年项目，2018-01至2020-12，已结题，主持
3.全球变暖对我国东部灰霾和近海物质沉降影响的数值研究，山东省面上科学基金，2017-08至2020-06，已结题，主持
4.气溶胶与天气气候相互作用对我国冬季强霾污染的影响，国家自然科学重大研究计划重点支持项目，2018-01至2021-12，已结题，参加
5.两洋一海”区域高分辨率多圈层耦合模式开发，国家重点研发计划，2017-07至2020-12，已结题，参加
6.大气污染生消过程动力学和微观形成机制数值模拟，国家重点研发计划，2017-07至2020-06，已结题，参加
会员:
中国环境科学学会臭氧专委会委员, 2020.12——至今
美国地球物理学会(AGU), 2011.01——至今
国际大气化学中国青年工作组成员，2021-05——至今
发表论文：
2022：
87. Gao, Y., M. Ma, F. Yan, et al., Impacts of biogenic emissions from urban landscapes on summer ozone and secondary organic aerosol formation in megacities (2022), Sci. Total Environ., 814, 152654.
86. Zeng, X. Y. Gao, Y. Wang, M. Ma, J. Zhang and L. Sheng (2022), Characterizing the distinct modulation of future emissions on summer ozone concentrations between urban and rural areas over China, Sci. Total Environ., 820, 153324.
85. Yang, L, J. Yang, M. Liu, X. Sun, T. Li, Y. Guo, K. Hu, M. L. Bell, Q. Cheng, H. Kan, Y. Liu, H. Gao, X. Yao andY. Gao (2022), Nonlinear effect of air pollution on adult pneumonia hospital visits in the coastal city of Qingdao, China: A time-series analysis, Environ. Res., 209, 112754.
83. Gao, Y., D. Chen, Y. Shen, Y. Gao, H.Gao and X. Yao (2022), Mapping gaseous dimethylamine, trimethylamine, ammonia, and their particulate counterparts in marine atmospheres of China’s marginal seas – Part 2: Spatiotemporal heterogeneity, causes, and hypothesis, Atmos. Chem. Phys., 22, 1515–1528.
81. Yang, J., M. Liu, Q. Cheng, L. Yang, X. Sun, H. Kan, Y. Liu, M. L. Bell, R. Dasan, H. Gao, X. Yao and Y. Gao (2022), Investigating the impact of air pollution on AMI and COPD hospital admissions in the coastal city of Qingdao, China, Front. Environ. Sci. Eng., 16, 56.
2021：
80. Gao, Y., F. Yan, M. Ma, A. Ding, H. Liao, S. Wang, X. Wang, B. Zhao, W. Cai, H. Su, X. Yao and H. Gao (2021), Unveiling the dipole synergic effect of biogenic and anthropogenic emissions on ozone concentrations, Sci. Total Environ., 151722.
79. Zhou, Y., S. Hakala, C. Yan, Y. Gao, X. Yao, B. Chu, T. Chan, J. Kangasluoma, S. Gani, J. Kontkanen, P. Paasonen, Y. Liu, T. Petäjä, M. Kulmala and L. Dada (2021), Measurement report: New particle formation characteristics at an urban and a mountain station in northern China, Atmos. Chem. Phys., 21, 17885–17906.
78. Chen, D., Y. Shen, J. Wang, Y. Gao, H. Gao and X. Yao, Mapping gaseous dimethylamine, trimethylamine, ammonia, and their particulate counterparts in marine atmospheres of China's marginal seas – Part 1: Differentiating marine emission from continental transport, Atmos. Chem. Phys., 21, 16413–16425.
77. Wang, L., Y. Qian, Y., L. R. Leung, X. Chen, C. Sarangi, J. Lu, F. Song, Y. Gao, G. Lin, and Y. Zhang (2021), Multiple metrics informed projections of future precipitation in China, Geophys. Res. Lett., 48, https://doi.org/10.1029/2021GL093810.
76. Liu, X., M. Chang, J. Zhang, J. Wang, H. Gao, Y. Gao and X. Yao (2021), Rethinking the causes of extreme heavy winter PM2.5 pollution events in northern China, Sci. Total Environ., 794,148637.
75. Li, G., H. Su, N. Ma, J. Tao, Y. Kuang, Q. Wang, J. Hong, Y. Zhang, U. Kuhn, S. Zhang, X. Pan, N. Lu, M. Tang, G. Zheng, Z. Wang, Y. Gao, P. Cheng, W. Xu, G. Zhou, C. Zhao, B. Yuan, M. Shao, A. Ding, Q. Zhang, P. Fu, Y. Sun, U. Pöschl and Y. Cheng (2021), Multiphase chemistry experiment in Fogs and Aerosols in the North China Plain (McFAN): integrated analysis and intensive winter campaign 2018, Faraday Discussions, 226, 207-222, 10.1039/D0FD00099J.
72. Zhao, B., J. D. Fast, N. M. Donahue, M. Shrivastava, M. Schervish, J. E. Shilling, H. Gordon, J. Wang, Y. Gao, R. A. Zaveri, Y. Liu and B. Gaudet (2021), Impact of urban pollution on organic-mediated New-Particle Formation and particle number concentration in the Amazon Rainforest, Environ. Sci. Technol, 10.1021/acs.est.0c07465.
71. Wang, Y., Y. Zhu, M. Wang, D. Rosenfeld, Y. Gao, X. Yao, L. Sheng, A. Efraim, and J. Wang (2021), Validation of satellite-retrieved CCN based on a cruise campaign over the polluted Northwestern Pacific ocean, Atmos. Res., 260, 105722.
70. Chen, X., L. R. Leung, Y. Gao and Y. Liu (2021), Response of U.S. West Coast Mountain Snowpack to Local Sea Surface Temperature Perturbations: Insights from Numerical Modeling and Machine Learning, J. Hydrometeorol.,https://doi.org/10.1175/JHM-D-20-0127.1.
69. Ma, L., Y. Zhu, M. Zheng, Y. Sun, L. Huang, X. Liu, Y. Gao, Y. Shen, H. Gao and X. Yao (2021), Investigating three patterns of new particles growing to the size of cloud condensation nuclei in Beijing's urban atmosphere, Atmos. Chem. Phys., 21, 183–200.
2020:
68. Gao, Y., J. Zhang, F. Yan, L. R. Leung, K. Luo, Y. Zhang and M. L. Bell, Nonlinear effect of compound extreme weather events on ozone formation over the United States (2020), Weather and Climate Extremes, 30, 100285.
67. Gao, Y., L. Zhang, G. Zhang, F. Yan, S. Zhang, L. Sheng, J. Li, M. Wang, S. Wu, J. Fu, X. Yao and H. Gao (2020), the climate impact on atmospheric stagnation and capability of stagnation indices in elucidating the haze events over North China Plain and Northeast China. Chemosphere, 127335, doi:10.1016/j.chemosphere.2020.127335.
66. Gao, Y., H. Shan, S. Zhang, L. Sheng, J. Li, J. Zhang, M. Ma, H. Meng, K. Luo, H. Gao, X. Yao (2020), Characteristics and sources of PM2.5 with focus on two severe pollution events in a coastal city of Qingdao, China, Chemosphere, 247, 125861.
65. Gao, Y., D. Zhang, J. Wang, H. Gao and X. Yao (2020), Variations in Ncn and Nccn over China marginal seas related to marine traffic emissions, new particle formation and aerosol aging, Atmos. Chem. Phys., 20, 9665–9677, https://doi.org/10.5194/acp-20-9665-2020.
64. Zhang, L., Y. Gao, S. Wu, S. Zhang, K. Smith, X. Yao and H. Gao (2020), Global impact of atmospheric arsenic on health risk: 2005-2015, Proc. Natl. Acad. Sci. U. S. A., 117 (25), 13975-13982, doi:10.1073/pnas.2002580117.
63. Guan, S., D. C. Wong, Y. Gao, T. Zhang and G. Pouliot (2020), Impact of wildfire on particulate matter in the southeastern United States in November 2016, Sci. Total Environ., 724, 138354.
62. Zhang, Y., P. Yang, Y. Gao, L. R. Leung, M. L. Bell (2020), Health and Economic Impacts of Air Pollution Induced by Weather Extremes over the Continental U.S., Environ. Int., 143, 105921.
61. Shen, Y., J. Wang, Y. Gao, C. K. Chan, Y. Zhu, H. Gao, T. Petäjä, and X. Yao (2020), Sources and formation of nucleation mode particles in remote tropical marine atmospheres over the South China Sea and the Northwest Pacific Ocean, Sci. Total Environ., 139302.
60. Ni, Z., K. Luo, Y. Gao, X. Gao, F. Jiang, C. Huang, J. Fan, J., Fu and C. Chen (2020), Spatial–temporal variations and process analysis of O3 pollution in Hangzhou during the G20 summit, Atmos. Chem. Phys., 20, 5963–5976, https://doi.org/10.5194/acp-20-5963-2020
59. Zeng, Y., M. Wang, C. Zhao, S. Chen, Z. Liu, X. Huang, and Y. Gao, WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes, Geosci. Model Dev., 13, 2125–2147, https://doi.org/10.5194/gmd-13-2125-2020, 2020.
58. An, X., L. Sheng, Q. Liu, C. Li, Y. Gao and J. Li (2020), The combined effect of two westerly jet waveguides on heavy haze in the North China Plain in November and December 2015, Atmos. Chem. Phys., 20, 4667–4680, https://doi.org/10.5194/acp-20-4667-2020.
57. Zuo, B., Z. Hou, F. Zheng, L. Sheng, Y. Gao, J. Li (2020), Robustness assessment of the RSD t‐test for detecting trend turning in a time series. Earth Space Sci., 7, e2019EA001042. https://doi.org/10.1029/2019EA001042
56. Wang, H., R. Yan, T. Xu, Y. Wang, Q. Wang, T. Zhang, J. An, C. Huang, Y. Gao, Y. Gao, X. Li, C. Yu, S. Jing, L. Qiao, S. Lou, S. Tao, Y. Li (2020), Observation constrained aromatic emissions in Shanghai, China, J. Geophys. Res. Atmos., 125, e2019JD031815, https://doi.org/10.1029/2019JD031815.
2019：
55. Dong, L., L. R. Leung, J. Lu and Y. Gao (2019), Contributions of Extreme and Non‐Extreme Precipitation to California Precipitation Seasonality Changes Under Warming. Geophysical Research Letters, 46, 13470–13478,https://doi.org/10.1029/2019GL084225.
54. Ma, M., Y. Gao, Y. Wang, Y., S. Zhang, S., L. R. Leung, C. Liu, S. Wang, B. Zhao, X. Chang, H. Su, T. Zhang, L. Sheng, X. Yao, and H. Gao (2019), Substantial ozone enhancement over the North China Plain from increased biogenic emissions due to heat waves and land cover in summer 2017, Atmos. Chem. Phys., 19, 12195–12207, https://doi.org/10.5194/acp-19-12195-2019, 2019.
53. Wang, J., Y. Shen, K. Li, Y. Gao, H. Gao, and X. Yao (2019), Nucleation-mode particle pool and large increases in Ncn and Nccn observed over the northwestern Pacific Ocean in the spring of 2014, Atmos. Chem. Phys., 19, 8845–8861, https://doi.org/10.5194/acp-19-8845-2019, 2019.
52. Zhao, B., T. Wang, Z. Jiang, Y. Gu, K.-N. Liou, N. Kalandiyur, Y. Gao and Y. Zhu (2019), Air quality and health co-benefits of different deep decarbonization pathways in California, Environ. Sci. Technol., 53 (12), 7163-7171.
51. Chen, Q., L. Sheng, Y. Gao, Y. Miao, S. Hai, S. Gao and Y. Gao (2019), The effects of the trans-regional transport of PM2.5 on a heavy haze event in the Pearl River Delta in January 2015, Atmosphere, 10 (5), 237, https://doi:10.3390/atmos10050237
50. Ni, Z., K. Luo, X. Gao, Y. Gao, J. Fan, J. S. Fu and C. Chen (2019), Exploring the stratospheric source of ozone pollution over China during the 2016 Group of Twenty summit, Atmos. Pollut. Res., 10 (4), 1267-1275.
49. Zhang, J., Y. Gao, L. R. Leung, K. Luo, H. Liu, J.-F. Lamarque, J. Fan, X. Yao, H. Gao and T. Nagashima (2019), Impacts of climate change and emissions on atmospheric oxidized nitrogen deposition over East Asia, Atmos. Chem. Phys., 19, 887-900, https://doi.org/10.5194/acp-19-887-2019.
48. Zhang, G., Y. Gao, W. Cai, L. R. Leung, S. Wang, B. Zhao, M. Wang, H. Shan, X. Yao and H. Gao (2019), Seesaw haze pollution in North China modulated by the sub-seasonal variability of atmospheric circulation, Atmos. Chem. Phys., 19, 565-576, https://doi.org/10.5194/acp-19-565-2019.
47. Zhu, Y., K. Li, Y. Shen, Y. Gao, X. Liu, Y. Yu, H. Gao and X. Yao (2019), New particle formation in the marine atmosphere during seven cruise campaigns, Atmos. Chem. Phys., 19, 89-113, https://doi.org/10.5194/acp-19-89-2019.
46. Cai, T., Y. Zhang, X. Ren, L. Bielory, Z. Mi, C. G. Nolte, Y. Gao, L. R. Leung, and P. G. Georgopoulos (2019), Development of a semi-mechanistic allergenic pollen emission model, Sci. Total Environ., 653, 947-957, https://doi.org/10.1016/j.scitotenv.2018.10.243.
2018：
45. Chen, X., L. R. Leung, Y. Gao, Y. Liu, M. Wigmosta and M. Richmond (2018), Predictability of Extreme Precipitation in Western U.S. Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration, Geophys. Res. Lett., 45, 11,693-11,701, 10.1029/2018GL079831.
44. Hu, Q., K. Qu, H. Gao, Z. Cui, Y. Gao and X. Yao (2018), Large Increases in Primary Trimethylaminium and Secondary Dimethylaminium in Atmospheric Particles Associated With Cyclonic Eddies in the Northwest Pacific Ocean, J. Geophys. Res., 123, 12,133-12,146, 10.1029/2018JD028836.
43. Ni, Z., K. Luo, Y. Gao, X. Gao, J. Fan and K. Cen (2018), Potential Air Quality Improvements from Ultralow Emissions at Coal-fired Power Plants in China, Aerosol and Air Quality Research, 18(1),1944-1951.
42. Zhang, J., Y. Gao, K. Luo, L. R. Leung, Y. Zhang, K. Wang, and J. Fan (2018), Impacts of compound extreme weather events on ozone in the present and future, Atmos. Chem. Phys., 18, 1–17, https://doi.org/10.5194/acp-18-1-2018.
41. Hou, P., S. Wu , J. L. McCarty and Y. Gao (2018), Sensitivity of atmospheric aerosol scavenging to precipitation intensity and frequency in the context of global climate change, Atmos. Chem. Phys., 18, 8173-8182, https://doi.org/10.5194/acp-18-8173-2018.
40. Xie, H., L. Feng, Q. Hu, Y. Zhu, H. Gao, Y. Gao and X. Yao (2018), Concentration and size distribution of water-extracted dimethylaminium and trimethylaminium in atmospheric particles during nine campaigns - Implications for sources, phase states and formation pathways. Sci. Total Environ., 631–632, 130-141.
39. Lu, J. D. Xue, Y. Gao, G. Chen, L. R. Leung and P. Staten (2018), Enhanced hydrological extremes in the western United States under global warming through the lens of water vapor wave activity, nature partner journal (npj) Climate and Atmospheric Science, 1, 7, 10.1038/s41612-018-0017-9.
38. Zhang, X., H.-Y. Li, Z. D. Deng, C. Ringler, Y. Gao, M. I. Hejazi, and L. R. Leung (2018), Impacts of climate change, policy and Water-Energy-Food nexus on hydropower development, Renewable Energy, 116, 827-834, https://doi.org/10.1016/j.renene.2017.10.030.
2017：
37. Xing, C., C. Liu,S. Wang, K. L. Chan, Y. Gao, X. Huang, W. Su, C. Zhang, Y. Dong, F. Fan,T. Zhang, Z. Chen, Q. Hu, H. Su, Z. Xie and J. Liu (2017), Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China, Atmos. Chem. Phys., 17, 14275-14289, https://doi.org/10.5194/acp-17-14275-2017.
(2017), Idealized Simulations of a Squall Line from the MC3E Field Campaign Applying Three Bin Microphysics Schemes: Dynamic and Thermodynamic Structure,Mon. Wea. Rev.,145, 4789–4812, https://doi.org/10.1175/MWR-D-16-0385.1
35. Meng, L., H. W. Gao, Y. Yu, X. H. Yao, Y. Gao, C. Zhang, and L. Fan (2017), A new approach developed to study variability in North African dust transport routes over the Atlantic during 2001–2015, Geophys. Res. Lett., 44, 10,026–10,035, doi:10.1002/ 2017GL074478.
34. Stowell, J. D., Y.-M. Kim, Y. Gao, J. S. Fu, H. C. Howard and Y. Liu (2017), The Impact of Climate Change and Emissions Control on Future Ozone Levels: Implications for Human Health, Environ. Int., 108, 41-50, https://doi.org/10.1016/j.envint.2017.08.001.
33. Zhu, Y., C. Yan, R. Zhang, Z. Wang, M. Zheng, H. Gao, Y. Gao, and X. Yao (2017), Simultaneous measurements of new particle formation in 1 s time resolution at a street site and a rooftop site, Atmos. Chem. Phys., 17,9469-9484, https://doi.org/10.5194/acp-17-9469-2017.
32. Sun, J., J. S. Fu, J. A. Lynch, K. Huang and Y. Gao (2017), Climate-driven exceedance of total (wet + dry) nitrogen (N) + sulfur (S) deposition to forest soil over the conterminous U.S., Earth's Future, 5: 560–576. doi:10.1002/2017EF000588
31. Gao, Y., L. R. Leung, C. Zhao, and S. Hagos (2017), Sensitivity of U.S. summer precipitation to model resolution and convective parameterizations across gray zone resolutions, J. Geophys. Res. Atmos., 122, 2714–2733, doi:10.1002/2016JD025896.
30. Yang, Q., L. R. Leung, J. Lu, Y.-L. Lin, S. Hagos, K. Sakaguchi and Y. Gao (2017), Exploring the effects of a nonhydrostatic dynamical core in high-resolution aquaplanet simulations, J. Geophys. Res. Atmos., 122, 3245–3265, doi:10.1002/2016JD025287.
29. Wu, F., C. Fu, Y. Qian, Y. Gao and S. Wang (2017), High-frequency variability of daily temperature in China and its relationship with large scale circulation, Int. J. Climatol., 37(2), 570-582.
2016：
28. Leung, L. R. and Y. Gao (2016), Regional downscaling of S2S prediction: Past lessons and future prospects, US CLIVAR Variations, 14(4), 13-18.
27. Gao, Y., J. Lu and L. R. Leung (2016), Uncertainties in Projecting Future Changes in Atmospheric Rivers and Their Impacts on Heavy Precipitation over Europe,J. Climate, 29(18), 6711-6726.
26. Wu, F, S. Wang, C. Fu, Y. Qian, Y. Gao, D.K. Lee, D.H. Cha, J. Tang and S.y. Hong (2016), Evaluation and projection of summer extreme precipitation over East Asia in the Regional Model Inter-comparison Project, Climate Research, 69: 45-58, doi: 10.3354/cr01384.
25. Hagos, S. M., L. R. Leung, J.-H. Yoon, J. Lu and Y. Gao(2016),A Projection of Changes in Landfalling Atmospheric River Frequency and Extreme Precipitation over Western North America from the Large Ensemble CESM Simulations, Geophys. Res. Lett.,43, 1357–1363, doi:10.1002/2015GL067392.
24. Chuang, M.-T., J. S. Fu, C.-T. Lee, N.-H. Lin, Y. Gao, S.-H. Wang, G.-R. Sheu, T.-C. Hsiao, J.-L. Wang, M.-C. Yen, T.-H. Lin, N. Thongboonchoo (2016), The Simulation of Long-Range Transport of Biomass Burning Plume and Short-Range Transport of Anthropogenic Pollutants to a Mountain Observatory in East Asia during the 7-SEAS/2010 Dongsha Experiment, Aerosol and Air Quality Research, 16: 2933–2949, doi: 10.4209/aaqr.2015.07.0440.
2015：
23. Gao, Y., J. Lu, L. R. Leung, Q. Yang, S. Hagos and Y. Qian (2015), Dynamical and thermodynamical modulations on future changes of landfalling atmospheric rivers over western North America, Geophys. Res. Lett., 42, 7179–7186: doi:10.1002/2015GL065435.
22. Gao, Y., L. R. Leung, J. Lu, and G. Masato (2015), Persistent Cold Air Outbreaks over North America in a Warming Climate, Environ. Res. Lett., 10(4), 044001.
Highlighted in Science News (https://www.sciencenews.org/article/fewer-cold-snaps-forecast)
Highlighted in Nature Climate Change
(http://www.nature.com/nclimate/journal/v5/n6/full/nclimate2674.html)
21. Chuang, M.-T., J. S. Fu, N.-H. Lin, C.-T. Lee, Y. Gao, S.-H. Wang, G.-R. Sheu, T.-C. Hsiao, J.-L. Wang, M.-C. Yen, T.-H. Lin, N. Thongboonchoo and W.-C. Chen (2015), Simulating transport and chemical evolution of biomass burning pollutants originating from Southeast Asia during 7-SEAS/2010 Dongsha Experiment, Atmos. Environ. 112, 294–305.
20. Sun, J., J. S. Fu, K. Huang and Y. Gao (2015), Estimation of future PM2.5- and ozone-related mortality over the continental United States in a changing climate: An application of high-resolution dynamical downscaling technique, J. Air Waste Manag. Assoc., 65(5), 611-623.
19. Wong, D., C. E. Yang, J. S. Fu, K. Wong and Y. Gao (2015), An approach to enhance pnetCDF performance in environmental modeling applications, Geosci. Model Dev., 8, 1033-1046, doi:10.5194/gmd-8-1033-2015.
18. Zhao, B., S. X. Wang, J. Xing, K. Fu, J. S. Fu, C. Jang, Y. Zhu, X. Y. Dong, Y. Gao, W. J. Wu, J. D. Wang and J. M. Hao (2015), Assessing the nonlinear response of fine particles to precursor emissions: development and application of an extended response surface modeling technique v1.0, Geosci. Model Dev., 8, 115-128, doi:10.5194/gmd-8-115-2015.
17. Kim, Y. M., Y. Zhou, Y. Gao, J. S. Fu, B. A. Johnson, C. Huang, and Y. Liu. (2015), Spatially resolved estimation of ozone-related mortality in the United States under two representative concentration pathways (RCPs) and their uncertainty, Climatic Change, 128, 71–84.
2014：
16. Hodges, M., J. Belle, E. Carlton, S. Liang, H. Li, W. Luo, M. C. Freeman, Y. Liu, Y. Gao, J. Hess and J. V. Remais (2014), Delays in reducing waterborne and water-related infectious diseases in China under climate change, Nature Clim. Change,4(12), 1109-1115.
15. Wu, J., Y. Zhou, Y. Gao, J. S. Fu, B. Johnson, C. Huang, Y.-M. Kim, and Y. Liu (2014), The Time Trend Temperature–Mortality as a Factor of Uncertainty Analysis of Impacts of Future Heat Waves: Wu et al. Respond, Environ. Health. Perspect., 122(5), A118-A119.
14. Gao, Y., L. R. Leung, J. Lu, Y. Liu, M. Huang, Y. Qian (2014), Robust spring drying in the southwestern US and seasonal migration of wet/dry Patterns in a warmer climate, Geophys. Res. Lett., 41, 1745–1751, doi:10.1002/2014GL059562.
13. Dong X., J. Li, J. S. Fu, Y. Gao, K. Huang and G. Zhuang (2014). Inorganic aerosols responses to emission changes in Yangtze River Delta, China, Sci. Total Environ., 481, 522-532.
12. Wu, J., Y. Zhou, Y. Gao, J. S. Fu, B. A. Johnson, C. Huang, Y. M. Kim, Y. Liu (2014). Estimation and uncertainty analysis of impacts of future heat waves on mortality in the eastern United States. Environ. Health. Perspect. 122, 10–16,http://dx.doi.org/10.1289/ehp.1306670
11. Huang, K., J. S. Fu, Y. Gao, X. Dong, G. Zhuang, and Y. Lin (2014), Role of sectoral and multi-pollutant emission control strategies in improving atmospheric visibility in the Yangtze River Delta, China, Environmental Pollution, 184, 426-434.
10. Zhou, Y., J. Hammitt, J. S. Fu, Y. Gao, Y. Liu, J. I. Levy (2014), Major Factors Influencing the Health Impacts from Controlling Air Pollutants with Non-Linear Chemistry: An Application to China. Risk Analysis,34(4), 683-697.
2013：
9. Gao, Y., J. S. Fu, J. B. Drake, J.-F. Lamarque and Y. Liu (2013), The impact of emissions and climate change on ozone in the United States under representative concentration pathways (RCPs), Atmos. Chem. Phys., 13, 9607-9621, doi:10.5194/acp-13-9607-2013.
8. Dong, X, Y. Gao, J. S. Fu, J. Li, K. Huang, G. Zhuang, and Y Zhou (2013), Probe into Gaseous Pollution and Assessment of Air Quality Benefit under Sector Dependent Emission Control Strategies over Megacities in Yangtze River Delta, China, Atmos. Environ., 79, 841-852.
7. Huang, K., J. S. Fu, N. C. Hsu, Y. Gao, X. Dong, S.-C. Tsay, and Y. F. Lam (2013), Impact assessment of biomass burning on air quality in Southeast and East Asia during BASE-ASIA, Atmos. Environ., 78, 291-302.
2008-2012：
6. Gao, Y., J. S. Fu, J. B. Drake, Y. Liu and J.-F. Lamarque (2012), Projected changes of extreme weather events in the Eastern United States based on a high-resolution climate modeling system. Environ. Res. Lett.,7, 044025. (Featured in Science Daily: https://www.sciencedaily.com/releases/2012/12/121217121732.htm; environmentalresearchwebhttp://environmentalresearchweb.org/cws/article/news/51762)
5. Fu, J. S., X. Dong, Y. Gao, D. Wong and Y. F. Lam (2012), Sensitivity and linearity analysis of ozone in East Asia: The effects of domestic emission and intercontinental transport, J. Air Waste Manag. Assoc., 62(9), 1102-1114.
4. Fu, J. S., N. C. Hsu, Y. Gao, K. Huang, C. Li, N. H. Lin, and S. C. Tsay (2012), Evaluating the influences of biomass burning during 2006 BASE-ASIA: a regional chemical transport modeling, Atmos. Chem. Phys., 12, 3837-3855.
3. Li, C., S.-C. Tsay, J. S. Fu, R. R. Dickerson, Q. Ji, S. W. Bell, Y. Gao, W. Zhang, Huang, J., Z. Li, and H. Chen. (2010), Anthropogenic air pollution observed near dust source regions in northwestern China during springtime 2008, J. Geophys. Res., 115, D00K22.
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