Publications

1.         C. Ma, H. Su, Y. Cheng, Deep learning reveals a stronger fossil fuel influence than biomass burning in shaping remote tropospheric ozone. arXiv preprint arXiv:2606.09793,  (2026).

2.         C. Ma, H. Su, J. Lelieveld, W. Randel, P. Yu, M. O. Andreae, Y. Cheng, Smoke-charged vortex doubles hemispheric aerosol in the middle stratosphere and buffers ozone depletion. Sci. Adv. 10, eadn3657 (2024).

3.         C. Ma, R. Ni, H. Su, Y. Cheng, Enhancing Global Simulation of Smoke Injection Height for Intense Pyro-Convection Through Coupling an Improved One-Dimensional Plume Rise Model in CAM-chem. J. Adv. Model. Earth Syst. 16, e2023MS004127 (2024).

4.         C. Huang, C. Ma*, T. Wang, Y. Qu, M. Li, S. Li, B. Zhuang, M. Xie, Study on the assimilation of the sulphate reaction rates based on WRF-Chem/DART. Sci. China Earth Sci. 66, 2239-2253 (2023).

5.         C. Ma, T. Wang, Z. Jiang, H. Wu, M. Zhao, B. Zhuang, S. Li, M. Xie, M. Li, J. Liu, Importance of bias correction in data assimilation of multiple observations over eastern China using WRF‐Chem/DART. J. Geophys. Res. Atmos. 125, e2019JD031465 (2020).

6.         C. Ma, T. Wang, A. P. Mizzi, J. L. Anderson, B. Zhuang, M. Xie, R. Wu, Multiconstituent Data Assimilation With WRF-Chem/DART: Potential for Adjusting Anthropogenic Emissions and Improving Air Quality Forecasts Over Eastern China. J. Geophys. Res. Atmos. 124, 7393-7412 (2019).

7.         C. Ma, T. Wang, Z. Zang, Z. Li, Comparisons of Three-Dimensional Variational Data Assimilation and Model Output Statistics in Improving Atmospheric Chemistry Forecasts. Adv. Atmos. Sci. 35, 813-825 (2018).

8.         C. Huang, T. Niu, T. Wang, C. Ma, M. Li, R. Li, H. Wu, Y. Qu, H. Liu, X. Liu, 3DVar sectoral emission inversion based on source apportionment and machine learning. Environmental Pollution, 125140 (2024).

9.         B. A. Holanda, M. A. Franco, D. Walter, P. Artaxo, S. Carbone, Y. Cheng, S. Chowdhury, F. Ditas, M. Gysel-Beer, T. Klimach, L. A. Kremper, O. O. Krüger, J. V. Lavric, J. Lelieveld, C. Ma, L. A. T. Machado, R. L. Modini, F. G. Morais, A. Pozzer, J. Saturno, H. Su, M. Wendisch, S. Wolff, M. L. Pöhlker, M. O. Andreae, U. Pöschl, C. Pöhlker, African biomass burning affects aerosol cycling over the Amazon. Commun. Earth Environ. 4, 154 (2023).

10.        Y. Xiang, T. Zhang, C. Ma, L. Lv, J. Liu, W. Liu, Y. Cheng, Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM 2.5 concentrations over the North China Plain. Atmos. Chem. Phys. 21, 7023-7037 (2021).

11.        U. Kalsoom, T. Wang, C. Ma, L. Shu, C. Huang, L. Gao, Quadrennial variability and trends of surface ozone across China during 2015–2018: A regional approach. Atmos. Environ. 245, 117989 (2021).

12.        C. Huang, T. Wang, T. Niu, M. Li, H. Liu, C. Ma, Study on the variation of air pollutant concentration and its formation mechanism during the COVID-19 period in Wuhan. Atmos. Environ. 251, 118276 (2021).

13.        D. Gao, M. Xie, J. Liu, T. Wang, C. Ma, H. Bai, X. Chen, M. Li, B. Zhuang, S. Li, Ozone variability induced by synoptic weather patterns in warm seasons of 2014–2018 over the Yangtze River Delta region, China. Atmos. Chem. Phys. 21, 5847-5864 (2021).