Dr. MAO Jia

Dr. MAO Jia 毛佳

Supervisor: Prof. Amos P. K. TAI

Room 330, Science Centre North Block
Dr. MAO Jia

Education

2021-2024 Ph.D. Earth and Atmospheric Sciences The Chinese University of Hong Kong
2017-2020 M.Sc. Atmospheric Science Nanjing University of Information Science & Technology
2013-2017 B.Sc. Atmospheric Science Nanjing University of Information Science & Technology

Academic Employments

2024/10 - Present Postdoctoral Fellow, Department of Earth and Environmental Sciences, The Chinese University of Hong Kong

Research Fields and Current Research Interests

My research primarily focuses on understanding the impacts of ozone pollution on human health, crop yield, and ecosystems within the context of human activities and climate change. I am particularly interested in exploring how traditional Chemical Transport Models (CTMs) and innovative Machine Learning (ML) approaches can enhance our understanding of these complex issues. By integrating both methodologies, I aim to contribute to effective strategies for managing and reducing ozone-related impacts on ecological stability and public health.

Representative Publications

Mao, J., Wang, L., Lu, C., Liu, J., Li, M., Tang, G., Ji, D., Zhang, N., and Wang, Y.: Meteorological mechanism for a large-scale persistent severe ozone pollution event over eastern China in 2017, Journal of Environmental Sciences, 92, 187-199, 2020.
Lu, C., Mao, J., Wang, L., Guan, Z., Zhao, G., and Li, M.: An unusual high ozone event over the North and Northeast China during the record-breaking summer in 2018, Journal of Environmental Sciences, 102, 187-199, 2020
Mao, J., Tai, A. P. K., Yung, D. H. Y., Yuan, T., Chau, K. T., and Feng, Z.: Multidecadal ozone trends in China and implications for human health and crop yields: a hybrid approach combining a chemical transport model and machine learning, Atmos. Chem. Phys., 24, 345-366, 2024.

Selected Recent Publications

  • Jia M, Lili W, Chuhan L, Jingda L, Mingge L, Guiqian T, Dongsheng J, Nan Z, Yuesi W. Mete- orological mechanism for a large-scale persistent severe ozone pollution event over eastern China in 2017. Journal of Environmental Sciences, 2020, 92:187-199, 10.1016/j.jes.2020.02.019. 
  • Chuhan L, Jia M, Lili W, Zhaoyong G, Guangna Z, Mingge L. An unusual high ozone event over the North and Northeast China during the record-breaking summer in 2018. Journal of Environmental Sciences, 2021, 104:264-276, 10.1016/j.jes.2020.11.030.  
  • Mao, J., Tai, A. P. K., Yung, D. H. Y., Yuan, T., Chau, K. T., and Feng, Z.: Multidecadal ozone trends in China and implications for human health and crop yields: a hybrid approach combining a chemical transport model and machine learning, Atmos. Chem. Phys., 24, 345–366, https://doi.org/10.5194/acp-24-345-2024, 2024. 

Edited Conference Proceedings

Mao, J. and Tai, A.: Multidecadal ozone trends in China and implications for human health and crop yields: A hybrid approach combining chemical transport model and machine learning, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4625, https://doi.org/10.5194/egusphere-egu24-4625, 2024. 

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