The Chemistry-Climate Modeling Group
The Chemistry-Climate Modeling Group
Climate variability can significantly affect atmospheric composition in several ways, and understanding these interactions is crucial for making accurate seasonal predictions. Our study has elucidated the dominant climate patterns driving the interannual variability of wintertime aerosol pollution over northern India, co-occurring heat and ozone extremes over China, summertime ozone in May and wintertime haze in Beijing. We are working with climate scientists to explore inter-annual variability of compound extremes in Asia.
Gao, M. *, Wang, F., Ding, Y., Wu, Z., Xu, Y., Lu, X., Wang, Z. *, Carmichael, G.R. and McElroy, M.B.: Large-scale climate patterns offer pre-seasonal hints on the co-occurrence of heat wave and O3 pollution in China. Proc. Natl. Acad. Sci. U. S. A., 2023, 120 (26) : e2218274120. Link.
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. Sci. Adv., 2019,5(7), eaav4157. Link.
Zhang, X., Lu, X. *, Wang, F., Zhou, W., Wang, P. and Gao, M. *: Enhanced late spring ozone in southern China by early onset of the South China Sea summer monsoon. J. Geophys. Res.-Atmos., 2024, 129(4), e2023JD039029. Link.
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 measures have suppressed unfavorable influences of climate on wintertime PM2.5 concentrations in Beijing since 2002. Atmos. Chem. Phys., 2020, 20, 1497–1505. Link.
Aerosols can either cool the climate (through scattering) or warm it (through absorption), depending on their type and concentration. Incorporating aerosols into weather and climate models is essential for accurate weather and climate projections. Models that account for aerosol interactions can provide better forecasts of temperature, precipitation, and extreme weather events. We are trying to better represent aerosol properties, particularly light-absorbing particles (e.g., dust, black carbon and brown carbon), in weather and climate models, and to explore the interactions across different scales.
Wang, F., Xu, Y., Patel, P., Gautam, R., Gao, M.*, Liu, C. *, Ding, Y., Chen, H., Yang, Y., Zhou, Y., Carmichael, G. R. and McElroy, M. B.: Arctic amplification induced decline in West and South Asia dust warrants stronger anti-desertification towards carbon neutrality. Proc. Natl. Acad. Sci. U. S. A., 2024, 121(14): e2317444121. Link.
Wang, F., Lu, Z., Lin, G., Carmichael, G.R. and Gao, M. *: Brown carbon in East Asia: seasonality, sources and influences on regional climate and air quality, ACS Environ. Au, 2024. Link.
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. Atmos. Chem. Phys., 2021, 21, 11405–11421. Link.
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. Atmos. Chem. Phys., 2018,18, 4859-4884. Link.
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. Atmos. Chem. Phys., 2020, 20, 1147–1161. Link.