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  1. Wu, W., Fu, T.-M.*, Arnold, S.*, Spracklen, D.V., Zhang, A., Tao, W., Wang, X., Hou, Y., Mo, J., Chen, J., Li, Y., Feng, X., Lin, H., Huang, Z., Zheng, J., Shen, H., Zhu, L., Wang, C., Ye, J., Yang, X. (2024), Temperature-dependent evaporative anthropogenic VOC emissions significantly exacerbate regional ozone pollution. Environmental Science & Techonology, doi:10.1021/acs.est.3c09122.Full text
  2. Zhang, L., Fu, T.-M.*, Hu, Z., Liu, H., Meng, Z., Ma, L., Dai, J., Zhang, F. (2024), Springtime mesoscale convective systems over South China: a historic radar image-based analysis of climatological features, interannual variability, and potential connections with surface aerosol, Environmental Research Letters, doi:10.1088/1748-9326/ad2024. Full text
  3. Hu, W., Zhao, Y., Lu, N., Wang, X., Zheng, B., Henze, D. K., Zhang, L., Fu, T.-M., Zhai, S. (2024), Changing responses of PM2.5 and ozone to source emissions in the Yangtze River Delta using the adjoint model, Environmental Science & Technology, 58(1), 628-638, doi:10.1021/acs.est.3c05049. Full text
  4. Wang, F., Xiang, L., Leung, K. S.-Y. et al. (2024), Emerging contaminants: a One Health perspective, The Innovation, doi:10.1016/j.xinn.2024.100612. Full text
  5. Mai, Z., Shen, H., Zhang, A., Sun, H. Z., Zheng, L., Guo, J., Liu, C., Chen, Y., Wang, C., Ye, J., Zhu, L., Fu, T.-M., Yang, X., Tao, S. (2024), Convolutional Neural Networks Facilitate Process Understanding of Megacity Ozone Temporal Variability, Environmental Science & Technology, doi:10.1021/acs.est.3c07907. Full text
  6. Zheng, L., Adalibieke, W., Zhou, F., He, P., Chen, Y., Guo, P., He, J., Zhang, Y., Xu, P., Wang, C., Ye, J., Zhu, L., Shen, G., Fu, T.-M., Yang, X., Zhao, S., Hakami, A., Russell, A. G., Tao, S., Meng, J., Shen, H.(2024), Health burden from food systems is highly unequal across income groups, Nature Food, 5, 251-261, doi:10.1038/s43016-024-00946-7. Full text
  7. Zeng, Y., Zhang, A., Yang, X., Xing, C., Zhai, J., Wang, Y., Cai, B., Shi, S., Zhang, Y., Shen, Z., Fu, T.-M., Zhu, L., Shen, H., Ye., J., Wang, C. (2024), Internal exposure potential of water-soluble organic molecules in urban PM2.5 evaluated by non-covalent adductome of human serum albumin, Environment International, 184, 108492, doi:10.1016/j.envint.2024.108492. Full text
  8. Liu, S., Shu, L., Zhu, L. *, Song, Y., Sun, W., Chen, Y., Wang, D., Pu, D., Li, X., Sun, S., Li, J., Zuo, X., Fu, W., Yang, X., Fu, T.-M. (2024), Underappreciated emission spikes and impacts on air quality during heatwaves, Earths Future, 12(2), 302023EF003937, doi:10.1029/2023EF003937. Full text
  9. Wang, Y., Xing, C., Cai, B., Qiu, W., Zhai, J., Zeng, Y., Zhang, A., Shi, S., Zhang, Y., Yang, X., Fu, T.-M., Shen, H., Wang, C., Zhu, L., Ye, J. (2024), Impact of antioxidants on PM2.5 oxidative potential, radical level, and cytotoxicity, Science of the Total Environment, 912, 169555, doi:10.1016/j.scitotenv.2023.169555. Full text
  10. Zuo, X., Sun, W., De Smedt, I., Li, X., Liu, S., Pu, D., Sun, S., Li, J., Chen, Y., Fu, W., Zhang, P., Li, Y., Yang, X., Fu, T.-M., Shen, H., Ye, J., Wang, C., Zhu, L. (2023), Observing downwind structures of urban HCHO plumes from space: Implications to non-methane volatile organic compound emissions, Geophysical Research Letters, 50(24), e2023GL106062, doi:10.1029/2023GL106062. Full text
  11. Chen, Y., Liu, S., Zhu, L., Seo S., Richter, A., Li, X., Ding, A., Sun, W., Shu, L., Wang, X., Valks, P., Hendrick, F., Koenig, T. K., Volkamer, R., Bai, B., Wang, D., Pu, D., Sun, S., Li, J., Zuo, X., Fu, W., Li, Y., Zhang, P., Yang, X., Fu, T.-M. (2023), Global observations of tropospheric bromine monoxide (BrO) columns from TROPOMI, Journal of Geophysical Research-Atmospheres, 128(24), e2023JD039091, doi:10.1029/2023JD03901. Full text
  12. Liu, S., Li, X., Li, J., Shu, L., Fu, T.-M., Yang, X., Zhu, L. (2023), Observing network effect of shipping emissions from space: a natural experiment in the world’s busiest port, PNAS Nexus, doi:10.1093/pnasnexus/pgad391. Full text
  13. Feng, X., Ma, Y., Lin, H., Fu, T.-M.*, Zhang, Y., Wang, X., Zhang, A., Yuan, Y., Han, Z., Mao, J., Wang, D., Zhu, L., Wu, Y., Li, Y., Yang, X. (2023), Impacts of ship emissions on air quality in Southern China: opportunistic insights from the abrupt emission changes in early 2020, Environmental Science & Technology, doi:10.1021/acs.est.3c04155. PDF Full text. Journal cover image.
  14. Li, Y., Fu, T.-M.*, Yu, J. Z.*, Yu, X., Chen, Q., Miao, R., Zhou, Y., Zhang, A., Ye, J., Yang, X., Tao, S., Liu, H., Yao, W. (2023), Dissecting the contributions of organic nitrogen aerosols to global atmospheric nitrogen deposition and implications for ecosystems, National Science Review, nwad244, doi:10.1093/nsr/nwad244. PDF Full text
  15. Zhang, J., Shen, H., Chen, Y., Meng, J., Li, J., He, J., Guo, P., Dai, R., Zhang, Y., Xu, R., Wang, J., Zheng, S., Lei, T., Shen, G., Wang, C., Ye, J., Zhu, L., Sun, H.Z., Fu, T.-M., Yang, X., Guan, D., Tao, S. (2023), Iron and steel industry emissions: a global analysis of trends and drivers, Environmental Science & Technology, doi:10.1021/acs.est.3c05474. Full text
  16. Zhai, J., Yu, G., Zhang, J., Shi, S., Yuan, Y., Jiang, S., Xing, C., Cai, B., Zeng, Y., Wang, Y., Zhang, A., Zhang, Y., Fu, T.-M., Zhu, L., Shen, H., Ye, J., Wang, C., Tao, S., Li, M., Zhang, Y.*, Yang, X.* (2023), Impact of ship emissions on air quality in the Greater Bay Area in China under the Latest Global Marine Fuel Regulation, Enviornmental Science & Technology, doi:10.1021/acs.est.3c03950. PDF Full text.
  17. 刘婵芳, 张傲星*, 房庆, 叶毓婧, 杨红龙, 陈炯恺, 吴雯潞, 侯岳, 莫佳佳, 傅宗玫. (2023), 深圳市2022年春季新冠疫情管控期间空气质量分析[J/OL], 环境科学, 44(6):3117-3129, doi:10.13227/j.hjkx.202205313. PDF Full text
  18. Zhang, A., Fu, T.-M.*, Feng, X., Guo, J., Liu, C., Chen, J., Mo, J., Zhang, X., Wang, X., Wu, W., Hou, Y., Yang, H., Lu, C. (2023), Deep learning-based ensemble forecasts and predictability assessments for surface ozone pollution. Geophysical Research Letters, e2022GL102611, doi:10.1029/2022GL102611. PDF Full text
  19. Wang, X., Fu, T.-M.*, Zhang, L.*, Lu, X., Liu, X., Amnuaylojaroen, T., Latif, M. T., Ma, Y., Zhang, L., Feng, X., Zhu, L., Shen, H., Yang, X. (2022), Rapidly changing emissions drove substantial surface and tropospheric ozone increases over Southeast Asia, Geophysical Research Letters, e2022GL100223, doi:10.1029/2022GL100223. PDF Full text.
  20. Xing, C., Wang, Y., Yang, X., Zeng, Y., Zhai, J., Cai, B., Zhang, A., Fu, T.-M., Zhu, L., Li, Y., Wang, X., Zhang, Y. (2022), Seasonal variation of driving factors of ambient PM2.5 oxidative potential in Shenzhen, China, Science of the Total Environment, 862(1), doi:10.1016/j.scitotenv.2022.160771.PDF Full text.
  21. Zhai, J., Yang, X., Li, L., Ye, X., Chen, J., Fu, T.-M., Zhu, L., Shen, H., Ye, J., Wang, C., Tao S. (2022). Direct observation of the transitional stage of mixing-state-related absorption enhancement for atmospheric black carbon. Geophysical Research Letters, 49, e2022GL101368, doi:10.1029/2022GL101368. PDF Full text.
  22. Pu, D., Zhu, L., De Smedt, I., Li, X., Sun, W., Wang, D., Liu, S., Li, J., Shu, L., Chen, Y., Sun, S., Zuo, X., Fu, W., Xu, P., Yang, X., Fu, T.-M. (2022), Response of anthropogenic volatile organic compound emissions to urbanization in Asia probed with TROPOMI and VIIRS satellite observations, Geophysical Research Letters, e2022GL099470, doi:10.1029/2022GL099470. PDF Full text.
  23. Long, X., Fu, T.-M.*, Yang, X., Tang, Y., Zheng, Y., Zhu, L., Shen, H., Ye, J., Wang, C., Wang, T., Li, B. (2022), Efficient atmospheric transport of microplastics over Asia and adjacent oceans, Enviornmental Science & Technology, 56(10), 6243–6252, doi:10.1021/acs.est.1c07825.PDF Full text.
  24. Shu, L., Zhu, L., Bak, J., Zoogman, P., Han, H., Long, X., Bai, B., Liu, S., Wang, D., Sun, W., Pu, D., Chen, Y., Li, X., Sun, S., Li, J., Yang, X., Fu, T.-M. (2022), Improved Ozone Simulation in East Asia via Assimilating Observations from the First Geostationary Air-quality Monitoring Satellite: Insights from an Observing System Simulation Experiment, Atmospheric Environment, 274, 119003, doi:10.1016/j.atmosenv.2022.119003. PDF Full text.
  25. Xu, X., Feng, X., Lin, H., Zhang, P., Huang, S., Song, Z., Peng, Y., Fu, T.-M., Zhang, Y. (2022), Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0, Geoscientific Model Development, 15, 3845–3859, doi:10.5194/gmd-15-3845-2022.PDF Full text.
  26. Zhai, J., Yang, X., Li, L., Bai, B., Liu, P., Huang, Y., Fu, T.-M., Zhu, L., Zeng, Z., Tao, S., Lu, X., Ye, X., Wang, X., Wang, L., Chen, J. (2022), Absorption enhancement of black carbon aerosols constrained by mixing-state heterogeneity, Environmental Science & Technology, 56(3), 1586–1593, doi:10.1021/acs.est.1c06180. PDF Full text
  27. Xing, L., Fu, T.-M., Liu, T., Qin, Y., Zhou, L., Chan, C. K., Guo, H., Yao, D., Duan, K. (2022), Estimating organic aerosol emissions from cooking in winter over the Pearl River Delta region, China, Environmental Pollution, 292(A), 118266, doi:10.1016/j.envpol.2021.118266. PDF Full text
  28. Cao, H., Henze, D. K., Cady-Pereira, K., McDonald, B. C., Harkins, C., Sun, K., Bowman, K. W., Fu, T.-M., Nawaz, M. O. (2021), COVID-19 lockdowns afford the first satellite-based confirmation that vehicles are an under-recognized source of urban NH3 pollution in Los Angeles, Environmental Science & Technology Letters, 9(1), 3-9, doi:10.1021/acs.estlett.1c00730. PDF Full text
  29. Feng, X., Lin, H., Fu, T.-M.*, Sulprizio, M. P., Zhuang, J., Jacob, D. J., Tian, H., Ma, Y., Zhang, L., Wang, X., Chen, Q., Han, Z. (2021), WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry-meteorology interactions, Geosci. Model. Dev., 14,3741-3768,doi:10.5194/gmd-14-3741-2021. PDF Full text
  30. Wang, X., Fu, T.-M.*, Zhang, L.*, Cao, H., Zhang, Q. Ma, H., Shen, L., Evans, M., Ivatt, P., Lu., X., Chen, Y., Zhang, L., Feng, X., Yang, X., Zhu, L., Henze, D. (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modelling, Environmental Science & Technology, 55(9),5752-5762, doi:10.1021/acs.est.1c00131. PDF Full text.
  31. Li, Y., Fu, T.-M.*, Yu, J. Z.*, Feng, X., Zhang, L., Chen, J., Boreddy, S. K. R., Kawamura, K., Fu, P., Yang, X., Zhu, L., Zeng, Z. (2021), Impacts of chemical degradation on the global budget of atmospheric levoglucosan and its use as a biomass burning tracer, Environmental Science & Technology, 55(8), 5525-5536, doi:10.1021/acs.est.0c07313. PDF Full text.
  32. Zhang, R., Gen, M. Fu, T.-M., Chan, C. (2021), Production of formate via oxidation of glyoxal promoted by particulate nitrate photolysis, Environmental Science & Technology, 55(9), 5711-5720, doi:10.1021/acs.est.0c081999. PDF Full text
  33. Hu, S., Wang, D., Wu, J., Zhou, L., Feng, X., Fu, T.-M., Yang, X., Ziegler, A. D., Zeng, Z. (2021), Aerosol presence reduces the diurnal temperature range: an interval when the COVID-19 pandemic reduced aerosols revealing the effect on climate, Environmental Science: Atmospheres, doi:10.1039/D1EA00021G. PDF Full text
  34. Sun, W., Zhu, L., De Smedt, I., Bai, B., Pu, D., Chen, Y., Shu, L., Wang, D., Fu, T.-M., Wang, X., and Yang, X. (2021): Global Significant Changes in Formaldehyde (HCHO) Columns Observed from Space at the Early Stage of the COVID-19 Pandemic, Geophys. Res. Lett, doi:10.1029/2020GL091265. PDF Full text
  35. Fan, W., Liu, Y., Chappell, A. Dong, L., Xu, R. Ekstrom, M., Fu., T.-M., Zeng Z. (2021), Evaluation of global reanalysis land surface wind speed trends to support wind energy development using in situ observations, J. Applied Meteorology and Climatology, 60(1), 33-50, doi:10.1175/JAMC-D-20-0037.1. PDF Full text
  36. Lin, H., Feng, X., Fu, T.-M.*, Tian, H., Ma, Y., Zhang, L., Jacob, D.J., Yantosca, R.M., Sulprizio, M.P., Lundgren, E.W., Zhuang, J., Zhang, Q., Lu, X., Zhang, L., Shen, L., Guo, J., Eastham, S.D., Keller, C.A. (2020), WRF-GC (v1.0): online coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.2.1) for regional atmospheric chemistry modeling – Part 1: Description of the one-way model, Geosci. Model Dev., doi:10.5194/gmd-13-3241-2020. PDF Full text
  37. Elguindi, N., Granier, C., Stavrakou, S., Darras, S., Bauwens, M., Cao, H., Chen, C., Denier van der Gon, H. A. C., Dubovik, O., Fu, T.-M., Henze, D. K., Jiang, Z., Keita, S., Kuenen, J. J. P., Kurokawa, J., Liousse, C., Miyazaki, K., Muller, J.-F., Qu, Z., Solmon, F., Zheng, B. (2020), Intercomparison of magnitudes and trends in anthropogenic surface emissions from bottom-up inventories, top-down estimates, and emission scenarios. Earth's Future,doi:10.1029/2020EF001520PDF Full text
  38. Ma, Y., Fu, T.-M.*, Tian, H., Gao, J., Hu, M., Guo, J., Zhang, Y., Sun, Y., Zhang, L., Yang, X., Wang, X. (2020), Emergency Response Measures to Alleviate a Severe Haze Pollution Event in Northern China during December 2015: Assessment of Effectiveness. Aerosol and Air Quality Research, doi:10.4209/aaqr.2019.09.0442. PDF Full Text
  39. Wang, X., Ye, X., Chen, J., Wang, X., Yang, X., Fu, T.-M., Zhu, L., Liu, C. (2020), Direct links between hygroscopicity and mixing state of ambient aerosols: estimating particle hygroscopicity from their single-particle mass spectra, Atmos. Chem. Phys., 20, 6273–6290, doi:10.5194/acp-20-6273-2020. PDF Full Text
  40. Xu, X., Lu, X., Li, X. Liu, Y., Wang, X., Chen, H., Chen, J., Yang, X., Fu, T.-M., Zhao, Q., Fu, Q. (2020), ROS-generation potential of Humic-like substances (HULIS) in ambient PM2.5 in urban Shanghai: Association with HULIS concentration and light absorbance, Chemosphere, 256, 127050, doi: 10.1016/j.chemosphere.2020.127050. PDF Full Text
  41. Zhang, R., Zhang, Y., Lin, H., Feng, X., Fu, T.-M., Wang, Y. (2020), NOx emission reduction and recovery during COVID-19 in East China, Atmosphere, 11(4), 433, doi:10.3390/atmos11040433. PDF Full Text
  42. Jiang, Z., Jolleys, M. D., Fu, T.-M.*, Palmer, P. I.*, Ma, Y., Tian, H., Li, J., Yang, X. (2020), Spatiotemporal and probability variations of surface PM2.5 over China between 2013 and 2019 and the associated changes in health risks: an integrative observation and model analyses, Science of the Total Environment, 723, doi:10.1016/j.scitotenv.2020.137896. PDF Full Text
  43. Zhang, L., Fu, T.-M.*, Tian, H., Ma, Y., Chen, J.-P., Tsai, T.-C., Tsai, I.-C., Meng, Z., Yang, X. (2020), Anthropogenic aerosols significantly reduce mesoscale convective system occurrences and precipitation over Southern China in April, Geophys. Res. Lett., doi: 10.1029/2019GL086204. PDF Full Text
  44. Zhang*, Y., Vu, T. V., Sun, J., He, J., Shen, X., Lin, W., Zhang, X., Zhong, J., Gao, W., Wang, Y., Fu, T.-M., Ma., Y., Li, W., Shi, Z. (2020), Significant Changes in Chemistry of Fine Particles in Wintertime Beijing from 2007 to 2017: Impact of Clean Air Actions, Environmental Science & Technology, doi:10.1021/acs.est.9b04678. PDF Full Text
  45. Zhao, Y.-H., Zhang, L.*, Zhou, M., Chen, D., Lu, X., Tao, W., Liu, J.-F., Tian, H., Ma, Y.-P., Fu, T.-M.(2019), Influences of planetary boundary layer mixing parameterization on summertime surface ozone concentration and dry deposition over North China, Atmospheric Environment, 218, 116950, doi:10.1016/j.atmosenv.2019.116950. PDF Full Text
  46. Lu, X.*, Zhang, L.*, Chen, Y., Zhou, M., Zheng, B., Li, K., Liu, Y., Lin, J., Fu, T.-M., and Zhang, Q. (2019), Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences, Atmos. Chem. Phys., 19, 8339–8361, doi:10.5194/acp-19-8339-2019. PDF Full Text
  47. Fu, T.-M.* and H. Tian (2019), Climate change penalty to ozone air quality: review of current understandings and knowledge gaps, Current Pollution Reports, 5, 159–171, doi:10.1007/s40726-019-00115-6. PDF Full Text
  48. Shen, L.*, D. J. Jacob, L. Zhu, Q. Zhang, B. Zheng, M. P. Sulprizio, K. Li, I. De Smedt, G. González Abad, H. Cao, T.-M. Fu, and H. Liao (2019), The 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, 46. doi:10.1029/2019GL082172 PDF Full Text
  49. Feng, X., T.-M. Fu*, H. Cao, H. Tian, Q. Fan, X. Chen (2019), Neural network prediction of pollutant emissions from open burning of crop residues: application to air quality forecasts in Southern China, Atmospheric Environment, 204, 22-31, doi:10.1016/j.atmosenv.2019.02.002 PDF Full Text
  50. Zhou, M., L. Zhang*, D. Chen*, Y. Gu, T.-M. Fu, M. Gao, Y. Zhao, X. Lu, and B. Zhao (2018), The impact of aerosol-radiation interactions on the effectiveness of emission control measures, Environmental Research Letters, 14(2), 024002, doi:10.1088/1748-9326/aaf27d PDF Full Text
  51. Cao, H., T.-M. Fu*, L. Zhang, D. K. Henze, C. Chan Miller, C. Lerot, G. Gonzalex Abad, I. De Smedt, Q. Zhang, M. van Roosendael, K. Chance, J. Li, J. Zheng, and Y. Zhao (2018), Adjoint inversion of Chinese non-methane volatile organic compound emissions using space-based observations of formaldehyde and glyoxal, Atmospheric Chemistry and Physics, 18, 15017-15046, doi:10.5194/acp-18-15017-2018. PDF Full Text
  52. Xing, L., M. Shrivastava*, T.-M. Fu*, P. Roldin, Y. Qian, L. Xu, N. L. Ng, J. Shilling, A. Zelenyuk, and C. Cappa (2018), Parameterized yields of semi-volatile products from isoprene oxidation under different NOx levels:impacts of chemical aging and wall-loss of reactive gases, Environmental Science and Technology, doi: 10.1021/acs.est.8b00373. PDF Full TextSI
  53. Liu, M.-Y., Lin, J.-T.*, Wang, Y.-C., Sun, Y., Zheng, B., Shao, J., Chen, L.-L., Zheng, Y., Chen, J., Fu, T.-M., Yan, Y.-Y., Zhang, Q., and Wu, Z. (2018),Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method, Atmospheric Chemistry and Physics, 18, 12933-12952, doi:10.5194/acp-18-12933-2018.PDF Full Text
  54. Chen, Q.*, T.-M. Fu*, J. Hu*, Q. Ying, and L. Zhang (2017), Modelling secondary organic aerosols in China, National Science Review, 4(6), 806-809, doi:10.1093/nsr/nwx143. PDF Full Text
  55. Li, N., J.-P. Chen*, I.-C. Tsai, Q. He, S.-Y. Chi, Y.-C. Lin, and T.-M. Fu (2016), Potential impacts of electric vehicles on air quality in Taiwan, Science of the Total Environment, 566-567, 919-928, doi:10.1016/j.scitotenv.2016.05.105.PDF Full Text
  56. Xu, W., T.-M. Fu*, J. Chen, and H. Tian (2016), Ground-based measurement and variation analysis of carbonaceous aerosols in Wuqing, Acta Scientiarum Naturalium Universitatis Pekinensis, 52(3), 409-419, doi:10.13209/j.0479-8023.2015.144. (In Chinese)PDF Full Text
  57. Tsai, I.C., J.-P. Chen*, C. S.-C. Lung, N. Li, W.-N. Chen, T.-M. Fu, C.-C. Chang, and G.-D. Hwang (2015), Sources and formation pathways of organic aerosol in a subtropical metropolis during summer, Atmospheric Environment, 117, 51-60, doi:10.1016/j.atmosenv.2015.07.005. PDF Full Text
  58. Fu, T.-M.*, Y. Zheng, F. Paulot, J. Mao, and R. M. Yantosca (2015), Positive but variable sensitivity of August surface ozone to large-scale warming in the southeast United States, Nature Climate Change, 5, 454-458, doi:10.1038/nclimate2567. PDF Full Text
  59. Zhang, L.*, L. Liu, Y. Zhao, S. Gong, X. Zhang, D. K. Henze, S. L. Capps, T.-M. Fu, and Q. Zhang (2015), Source Attribution of Particulate Matter Pollution over North China with the Adjoint Method, Environmental Research Letters, 10, 084011, doi:10.1088/1748-9326/10/8/084011.PDF Full Text
  60. Xing, L., and T.-M. Fu* (2015), Contributions of organic aerosols to cloud condensation nuclei numbers in China, Acta Scientiarum Naturalium Universitatis Pekinensis, 51(1), 13-23, doi:10.13209/j.0479-8023.2014.143. (In Chinese) PDF
  61. Jian, Y., and T.-M. Fu* (2014), Injection heights of springtime biomass burning plumes over the Peninsular Southeast Asia and their impacts on pollutant long-range transport, Atmos. Chem. Phys., 14, 3977-3989, doi:10.5194/acp-14-3977-2014. PDF Full Text
  62. Zhang, Y., L. Qiao, Y. Ren, X. Wang, M. Gao, Y. Tang, J. J. Xi, T.-M. Fu*, and X. Jiang* (2013), Two dimensional barcode-inspired automatic analysis for arrayed microfluidic immunoassays, Biomicrofluidics, 7, 034110, doi:10.1063/1.4811278. PDF Full Text
  63. Li, N., T.-M. Fu*, J.J. Cao*, S.C. Lee, X.-F. Huang, L.-Y. He, K.-F. Ho, J. S. Fu, and Y.-F. Lam (2013), Sources of secondary organic aerosols in the Pearl River Delta region in fall: contributions from the aqueous reactive uptake of dicarbonyls, Atmos. Environ., 76, 200-207, doi:10.1016/j.atmosenv.2012.12.005. PDF Full Text
  64. Xing, L., T.-M. Fu*, J.J. Cao, S.C. Lee, G.H. Wang, K.-F. Ho, M.-C. Cheng, C.-F. You, and T.J. Wang (2013), Seasonal and spatial variability of the OM/OC mass ratios and high regional correlation between oxalic acid and zinc in Chinese urban organic aerosols, Atmos. Chem. Phys., 13, 4307-4318, doi:10.5194/acp-13-4307-2013. PDF Full Text
  65. He, C.L., and T.-M. Fu* (2012), Air-sea exchange of volatile organic compounds: a new model with microlayer effects, Atmospheric and Oceanic Science Letters, 6(2), 97-102. PDF Full Text
  66. Fu, T.-M.*, J.J. Cao, X.Y. Zhang, S.C. Lee, Q. Zhang, Y.M. Han, W.J. Qu, Z. Han, R. Zhang, Y.X. Wang, D. Chen, and D.K. Henze (2012), Carbonaceous aerosols in China: top-down constraints on primary sources and estimation of secondary contribution, Atmos. Chem. Phys., 12, 2725-2746, doi:10.5194/acp-12-2725-2012. PDF Full Text
  67. Heald, C.L.*, H. Coe, J.L. Jimenez, R.J. Weber, R. Bahreini, A.M. Middlebrook, L.M. Russell, M. Jolleys, T.-M. Fu, J.D. Allan, K.N. Bower, G. Capes, J. Crosier, W.T. Morgan, N. H. Robinson, P.I. Williams, M.J. Cubison, P.F. DeCarlo, and E.J. Dunlea (2011), Exploring the vertical profile of atmospheric organic aerosol: comparing 17 aircraft field campaigns with a global model, Atmos. Chem. Phys., 11, 12673-12696, doi:10.5194/acpd-11-12673-2011. PDF Full Text
  68. Pacifico, F.*, S.P. Harrison, C.D. Jones, A. Arneth, S. Sitch, G.P. Weedon, M.P. Barkley, P.I. Palmer, D. Seca, M. Potosnak, T.-M. Fu, A. Goldstein, J. Bai, and G. Schurgers (2011), Evaluation of a photosynthesis-based biogenic isoprene emission scheme in JULES and simulation of isoprene emissions under present-day climate conditions, Atmos. Chem. Phys., 11, 4371-4389, doi:10.5194/acp-11-4371-2011.PDF
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