Articles | Volume 18, issue 18
https://doi.org/10.5194/amt-18-4559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-4559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Sep 2025
Research article |
| 16 Sep 2025
| 16 Sep 2025
Retrieval of black carbon aerosol surface concentration using integrated MODIS and AERONET data
Xingxing Jiang
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Yong Xue
CORRESPONDING AUTHOR
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Mariarosaria Calvello
Institute of Methodologies for Environmental Analysis, National Research Council, Tito Scalo 85050, Italy
Shuhui Wu
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Pei Li
School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
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Short summary
A novel black carbon aerosol (BC) surface concentration retrieval algorithm was developed using MODIS data. The algorithm determined seasonal background aerosol model based on AERONET product, calculated the complex refractive index of the internal mixed aerosol, and combined 6SV2.1 to establish lookup tables to achieve the optimal estimation of BC fraction and column concentration. Using conversion coefficient generated by MERRA-2, column concentration was converted to surface concentration.
A novel black carbon aerosol (BC) surface concentration retrieval algorithm was developed using...
