Source‐Specific Mass Absorption Efficiencies of Char‐EC and Soot‐EC Improve Accuracy in Black Carbon Radiative Effect Estimation

Abstract Optical properties of elemental carbon (EC) are critical for climate modeling due to its strong light absorption. Elemental carbon consists of char‐EC and soot‐EC, which differ in mass absorption efficiency (MAE). However, the MAEs of these forms remain underexplored primarily due to the limited methods available for measurement, limiting the accuracy of EC climate impact assessments and leading distortions of EC radiative effect in the temporal and spatial distribution. In this study, we derived MAEs for char‐EC and soot‐EC using combined modeling methods based on observational data, revealing key differences. Soot‐EC generally has higher MAEs than char‐EC, except from biomass burning. Meteorological factors, such as relative humidity, also influence the MAEs of char‐EC and soot‐EC differently. The differences in sources and aging process lead to changes in the mass concentration and MAE of char‐EC and soot‐EC over time. Ignoring these differences can lead to discrepancies in the radiative effect from −9.1% to 18.7%. This study underscores the importance of considering the char‐EC and soot‐EC in accurate EC radiative effect estimates, and implies that optimizing the management of different black carbon emission sources would mitigate global warming to varying extents due to the divergence of the char/soot emission ratio and their MAE.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-04-15
DOI
https://doi.org/10.1029/2024jd043079
Citations
3
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
3.90

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article

Source‐Specific Mass Absorption Efficiencies of Char‐EC and Soot‐EC Improve Accuracy in Black Carbon Radiative Effect Estimation

Junji Cao, Hongmei Xu, Huikun Liu, Qiyuan Wang et al.
3 citations
Journal of Geophysical Research Atmospheres
Atmospheric chemistry and aerosols
3.90
article

Source‐Specific Mass Absorption Efficiencies of Char‐EC and Soot‐EC Improve Accuracy in Black Carbon Radiative Effect Estimation

Junji Cao, Hongmei Xu, Huikun Liu, Qiyuan Wang, Hui Su, Jin Wang, Weikang Ran, Yonggang Xue, Yong Zhang, Jie Tian, Qian Zhang, Ruixia Tian, Yongming Han
article en
3 citations

Abstract

Abstract Optical properties of elemental carbon (EC) are critical for climate modeling due to its strong light absorption. Elemental carbon consists of char‐EC and soot‐EC, which differ in mass absorption efficiency (MAE). However, the MAEs of these forms remain underexplored primarily due to the limited methods available for measurement, limiting the accuracy of EC climate impact assessments and leading distortions of EC radiative effect in the temporal and spatial distribution. In this study, we derived MAEs for char‐EC and soot‐EC using combined modeling methods based on observational data, revealing key differences. Soot‐EC generally has higher MAEs than char‐EC, except from biomass burning. Meteorological factors, such as relative humidity, also influence the MAEs of char‐EC and soot‐EC differently. The differences in sources and aging process lead to changes in the mass concentration and MAE of char‐EC and soot‐EC over time. Ignoring these differences can lead to discrepancies in the radiative effect from −9.1% to 18.7%. This study underscores the importance of considering the char‐EC and soot‐EC in accurate EC radiative effect estimates, and implies that optimizing the management of different black carbon emission sources would mitigate global warming to varying extents due to the divergence of the char/soot emission ratio and their MAE.

Journal of Geophysical Research AtmospheresVol. 130(8)
Xi'an University of Architecture and Technology (CN), Chinese Academy of Sciences (CN), Institute of Atmospheric Physics (CN), Institute of Earth Environment (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 7%
Atmospheric chemistry and aerosols
3.90
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