Chaoqun Ma
Ma Group
Main Focus
I mainly study the biomass burning,
especially wildfires. By combining earth system models, in situ and remote
sensing observations, data assimilation, and machine learning, I explore how wildfires interact
with the earth system, change the climate and affect human societies.
Curriculum Vitae
Orcid:
https://orcid.org/0000-0002-6841-3157
Education
09, 2011 – 07,2015 Nanjing University
Bachelor of Science, majoring
in Atmospheric Science
09, 2015 – 07,2020 Nanjing
University
Ph.D.,
majoring in Atmospheric Science
Work Experience
08, 2020 – 12, 2024 Postdoctoral Researcher, Max Planck Institute for Chemistry, Mainz, Germany
Since 01, 2025 Group Leader, Max Planck Institute for Chemistry, Mainz, Germany
Publications
Ma, C., Su, H., Lelieveld, J., Randel, W., Yu, P., Andreae, M. O., and Cheng, Y. (2024), Smoke-charged vortex doubles hemispheric aerosol in the middle stratosphere and buffers ozone depletion. Science Advances, 10(28), eadn3657, doi: doi:10.1126/sciadv.adn3657.
Ma, C., Ni, R., Su, H., and Cheng, Y. (2024), Enhancing Global Simulation of Smoke Injection Height for Intense Pyro-Convection Through Coupling an Improved One-Dimensional Plume Rise Model in CAM-chem. Journal of Advances in Modeling Earth Systems, 16(10), e2023MS004127, doi: https://doi.org/10.1029/2023MS004127
Huang, C., Ma, C., Wang, T., Qu, Y., Li, M., Li, S., et al. (2023), Study on the assimilation of the sulphate reaction rates based on WRF-Chem/DART. Science China Earth Sciences, 66(10), 2239-2253, doi: 10.1007/s11430-023-1153-9.
Ma, C., Wang, T., Jiang, Z., Wu, H., Zhao, M., Zhuang, B., ... & Wu, R. (2020). Importance of bias correction in data assimilation of multiple observations over eastern China using WRF‐Chem/DART. Journal of Geophysical Research: Atmospheres, 125(1), e2019JD031465.
Ma, C., Wang, T., Mizzi, A. P., Anderson, J. L., Zhuang, B., Xie, M., & Wu, R. (2019). Multiconstituent data assimilation with WRF‐Chem/DART: Potential for adjusting anthropogenic emissions and improving air quality forecasts over eastern China. Journal of Geophysical Research: Atmospheres, 124(13), 7393-7412.
Ma,
C., Wang, T., Zang, Z., and Li, Z. (2018), Comparisons of Three-Dimensional
Variational Data Assimilation and Model Output Statistics in Improving
Atmospheric Chemistry Forecasts. Advances in Atmospheric Sciences, 35(7),
813-825, doi: 10.1007/s00376-017-7179-y.