Improved representation of black carbon mixing structures suggests stronger direct radiative heating
Yuanyuan Wang, Zhonghua Zheng, Yuan Sun, Yu Yao, Po‐Lun Ma, Aoxing Zhang, Shupeng Zhu, Zexuan Zhang, Xiyao Chen, Yuner Pang, Qiyuan Wang, Huizheng Che, Joseph Ching, Weijun Li
Abstract
Black carbon significantly influences the Earth system because of its strong solar radiation absorption. However, its direct radiative effect remains poorly understood in current climate models, partly because current climate models oversimplify the diverse structures formed when black carbon mixes with other atmospheric components. Here, we show that incorporating more realistic, multi-mixing structure representations of black carbon increases the direct radiative effect. We find that aged black carbon particles, with thicker coatings and higher embedded fractions, enhance the direct radiative effect more efficiently. Using machine learning alongside the Community Earth System Model, we show that the direct radiative effect at the top of the atmosphere in regions with heavy black carbon pollution is 31.6% greater when multi-mixing structures are considered. These findings highlight the importance of modeling complex mixing structures of particle-resolved black carbon to accurately capture their warming impacts on the global atmosphere, particularly in highly polluted regions.