3-people

People

Faculty Members
photo_menggao

Dr. Gao Meng (高蒙博士)

Associate Professor

Air Quality and Atmospheric Chemistry Modeling, Chemistry-Climate Interactions, Environmental Health,
Climate Change Mitigation

Office:
AAB 1226
Tel:
(852) 3411 7190
Fax:
(852) 3411 5990

PROFESSIONAL PREPARATION

  • 2016-2019, Postdoctoral Fellow, Environmental Science and Engineering, Harvard University, USA (Advisor: Michael B. McElroy)
  • 2012-2015, Ph.D., Chemical Engineering, University of Iowa, USA (Advisor: Gregory R. Carmichael)
  • 2012-2015, M.Sc., Chemical Engineering, University of Iowa, USA
  • 2008-2012, B.Sc., Atmospheric Physics, Nanjing University of Information Science and Technology, China

RESEARCH INTERESTS AND GROUP WEBSITE

  • Air quality and atmospheric chemistry modeling/Chemistry-climate interactions/Environmental health/Big data analytics
  • Group webpage: https://atchemo.hkbu.cf/

TEACHING

  • Geography of Health and the Environment
  • Selected Topics in the Geography of China (Physical & Environmental Geography)
  • Advanced Climatology

PROFESSIONAL AND COMMUNITY SERVICES

  • 2020-2022 World Meteorological Organization, Global Air Quality Forecasting and Information System (GAFIS) Steering Committee 

 


AWARDS

  • 2020 Atmospheric Sciences Division Outstanding Early Career Scientist Award, European Geosciences Union
  • 2018 The Global Atmosphere Watch (GAW) Early Career Travel Grants, World Meteorological Organization
  • 2017 Atmospheric Chemistry Colloquium for Emerging Senior Scientists (ACCESSXIV), Department of Energy, USA (25 globally and biennially)
  • 2016 International Global Atmospheric Chemistry Early Career Travel Grants
  • 2016 Karl Kammermeyer Outstanding Research Award, University of Iowa, USA
  • 2015 Graduate College Post-Comprehensive Research Award, University of Iowa, USA
  • 2012 Karl Kammermeyer Fellowship, University of Iowa, USA

 


 

External Grants

 

  • Improving predictions of ground-level PM2.5 concentrations in Asia with deep learning and the world’s first geostationary air pollution satellite, UGC General Research Fund (12202021), 2021-2024, 911,317 HKD
  • Assimilating surface PM2.5 and ozone measurements to improve health exposure assessment and air quality forecasting in South China, UGC Early Career Scheme (ECS) (22201820), 2021-2023, 579,972 HKD
  • 極軌和靜止衛星污染資料同化對我國大氣復合污染模擬預測的影響研究,NSFC-Young Scientists Fund, 2021-2023, 240,000 CNY 
  • Study on the Application of WRF-Chem over Hong Kong for Air Quality Simulation, Hong Kong Environmental Protection Department, 2021-2022, 1,024,000 HKD
  • 排放與氣候因素對近十多年廣東冬季PM2.5度變化的影響, 廣東省自然科學基金-面上項目(2019A1515011633)2019-2022, 100,000 CNY
  • 排放與氣候因素對近十多年北京冬季PM2.5度變化的影響環境模擬與污染控制國家重點聯合實驗室(清華大學)開放課題(19K03ESPCT)2019-2021, 80,000 CNY
  • 中國與印度重污染區域臭氧的季節性與污染源特徵中國氣象局氣溶膠與雲降水重點開放實驗室開放課題 (KDW1901)2019-2021, 30,000 CNY
  • APEC期間多污染物減排對黑碳光吸收影響的模擬研究,江蘇省大氣環境監測與污染控制高技術研究重點實驗室開放基金(KHK1902)2019-2021, 50,000 CNY

 

Internal Grants

 

  • Co-occurrence and Exposure of Heat and Haze Hazards over China under a Warming Climate, Tier 2 Start-up Grant (SGT2) 2019/20, 499,000 HKD

Peer-Reviewed Publications

 

[1] Xiao, X., Xu, Y.Y., Zhang, X.R., Wang, F., Lu, X., Cai, Z.W. Brasseur, G. and Gao, M. Amplified upward trend of the joint occurrences of heat and ozone extremes in China over 2013–2020. Bulletin of the American Meteorological Society,  DOI: https://doi.org/10.1175/BAMS-D-21-0222.1

[2]  Gao, M.*, Sherman, P., Song, S., Yu, Y., Wu, Z. and McElroy, M. B.*: Seasonal Prediction of Indian Wintertime Aerosol Pollution using the Ocean Memory Effect. Science Advances, 5(7), eaav4157, 2019.(影响因子14.14)

[3]  Gao, M.*, Ding, Y., Song, S., Lu, X., Chen, X.* and McElroy, M. B.*: Secular Changes in Wind Energy Potential in India Associated with Warming Indian Ocean. Science Advances, 4(12), p.eaat5256, 2018b.(影响因子14.14)

[4]  Liu, C., Gao, M.*, Hu, Q., Brasseur, G.P. and Carmichael, G.R.: Stereoscopic monitoring: a promising strategy to advance diagnostic and prediction of air pollution, Bulletin of the American Meteorological Society, in press, 2021.(影响因子8.766)

[5]   Xing, C., Liu, C.*, Wu, H., Lin, J., Wang, S., and Gao, M.*: Ground-based vertical profile observations of atmospheric composition on the Tibetan Plateau (2017–2019), Earth Syst. Sci. Data, 13, 4897–4912, https://doi.org/10.5194/essd-13-4897-2021, 2021. (影响因子11.33)

[6]    Gao, M.*, Beig, G., Song, S., Zhang, H., Hu, J., Ying, Q., Liang, F., Liu, Y., Wang, H., Lu, X., Zhu, T., Carmichael, G. R., Nielsen, C. P.* and McElroy, M. B.: The Impact of Power Generation Emissions on Ambient PM2.5 Pollution and Human Health in China and India. Environmental International, 121, 250-259, 2018.(影响因子9.621)

[7]    Gao, M.*, Saide, P. E., Xin, J., Wang, Y., Liu, Z., Wang, Y., Wang, Z., Pagowski, M., Guttikunda, S. K. and Carmichael, G. R.*: Estimates of Health Impacts and Radiative Forcing in Winter Haze in Eastern China through Constraints of Surface PM2.5 Predictions. Environmental Science and Technology, 51(4), 2178-2185, 2017.(影响因子9.028)

[8]     Lin, L., Gao, M., Xiao, X., Knibbs, L.D., Morawska, L., Dharmage, S., Heinrich, J., Jalaudin, B., Lin, S., Guo, Y., Xu, S., Wu, Q., Chen, G., Yang, B., Zeng, X., Yu, Y., Hu, L. and Dong G. : Ultrafine particles, blood pressure and adult hypertension: a population-based survey in Northeast China, Environmental Research Letters, 16, 094041, 2021 (equal contribution). (影响因子6.793)

[9]   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, Atmospheric Chemistry and Physics, 21, 11405-11421, https://doi.org/10.5194/acp-21-11405-2021, 2021. (影响因子6.133)

[10]    Gao, M.*, Gao, J., Zhu, B., Kumar, R., Lu, X., Song, S., Zhang, Y., Jia, B., Wang, P., Beig, G., Hu, J., Ying, Q., Zhang, H., Sherman, P., and McElroy, M. B.*: Ozone Pollution over China and India: Seasonality and Sources, Atmospheric Chemistry and Physics, 20, 4399–4414, 2020c.(影响因子6.133)

[11]   Gao, M.*, Liu, Z., Zheng, B., Ji, D., Sherman, P., Song, S., Xin, J., Liu, C., Wang, Y., Zhang, Q., Wang, Z.*, Carmichael, G., and McElroy, M.*: China's emission control strategies have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002, Atmospheric Chemistry and Physics, 20, 1497-1505, 2020b.(影响因子6.133)

[12]   Gao, M.*, Han, Z.*, Tao, Z., Li, J., Kang, J.-E., Huang, K., Dong, X., Zhuang, B., Li, S., Ge, B., Wu, Q., Lee, H.-J., Kim, C.-H., Fu, J. S., Wang, T., Chin, M., Li, M., Woo, J.-H., Zhang, Q., Cheng, Y., Wang, Z., and Carmichael, G. R.*: Air Quality and Climate Change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III), Part II: aerosol radiative effects and aerosol feedbacks, Atmospheric Chemistry and Physics, 20, 1147-1161, 2020a.(影响因子6.133)

[13]   Gao, M.*, Han, Z.*, Liu, Z., Li, M., Xin, J., Tao, Z., Li, J., Kang, J.E., Huang, K., Dong, X. and Zhuang, B., Li, S., Ge, B., Wu, Q., Cheng, Y., Wang, Y., Lee, H.-J., Kim, C.-H., Fu, J. S., Wang, T., Chin, M., Woo, J.-H., Zhang, Q., Wang, Z. and Carmichael, G. R.*: Air Quality and Climate Change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III) Part 1: Overview and Model Evaluation. Atmospheric Chemistry and Physics, 18, 4859-4884, 2018a.(影响因子6.133)

[14]    Song, S.*, Gao, M., Xu, W., Shao, J., Shi, G., Wang, S., Wang, Y., Sun, Y.* and McElroy, M. B.*: Fine Particle pH for Beijing Winter Haze as Inferred from Different Thermodynamic Equilibrium Models. Atmospheric Chemistry Physics, 18, 7423-7438, 2018 (equal contribution). (ESI Highly Cited Paper) (影响因子6.133)

[15]  Gao, M.*, Carmichael, G. R.*, Saide, P. E., Lu, Z., Yu, M., Streets, D. G. and Wang, Z., Response of Winter Fine Particulate Matter Concentrations to Emission and Meteorology Changes in North China. Atmospheric Chemistry and Physics, 16(18), 11837, 2016b.(影响因子6.133)

[16]   Gao, M.*, Carmichael, G. R.*, Wang, Y., Saide, P. E., Yu, M., Xin, J., Liu, Z. and Wang, Z.: Modeling Study of the 2010 Regional Haze Event in the North China Plain. Atmospheric Chemistry and Physics, 16(3), 1673-1691, 2016a.(影响因子6.133)

[17]   Gao, M.*, Guttikunda, S. K., Carmichael, G. R., Wang, Y., Liu, Z., Stanier, C. O., Saide, P. E. and Yu, M.: Health Impacts and Economic Losses Assessment of the 2013 Severe Haze Event in Beijing Area. Science of the Total Environment, 511, 553-561, 2015. (ESI Highly Cited Paper) (影响因子7.963)

[18]  Jia, B., Wang, Y.*, Wang, C., Zhang, Q., Gao, M.* and Yung, K.L.L: Sensitivity of PM2.5 to NOx emissions and meteorology in North China based on observations, Science of the Total Environment, p. 142275, 2020. (影响因子7.963) 

[19] Jia,B., Gao, M.*, X., Zhang, X., Xiao, Zhang, S. and Yung, K.K.L.*: Rapid increase in mortality attributable to PM2.5 exposure in India over 1998-2015, Chemosphere, p.128715, 2020.(影响因子7.086)

[20]  Gao, M. *, Liu, Z., Wang, Y. *, Lu, X., Ji, D., Wang, L., Li, M., Wang, Z., Zhang, Q. and Carmichael, G. R. *: Distinguishing the Roles of Meteorology, Emission Control Measures, Regional Transport, and Co-benefits of Reduced Aerosol Feedbacks in APEC Blue. Atmospheric Environment, 167, 476-486, 2017. (影响因子4.798) 

[21]  Gao, M.*, Ji, D.*, Liang, F. and Liu, Y.: Attribution of Aerosol Direct Radiative Forcing in China and India to Emitting Sectors. Atmospheric Environment, 190, 35-42, 2018. (影响因子4.798) 

Book & Book Chapter

 

• Gao, M.*, Wang, Z. and Carmichael, G.R. eds., 2021. Air Pollution, Climate, and Health 1st Edition: An Integrated Perspective on Their Interactions, Elsevier.  
• Gao, M.*, Carmichael, G., Wang, Y., Saide, P., Liu, Z., Xin, J., Shan, Y. and Wang., Z.: “Chemical and Meteorological Feedbacks in the Formation of Intense Haze Events” in Air Pollution in Eastern Asia: An Integrated Perspective (ISSI Scientific Report Series), Springer, 1st ed. 2017 edition.