Preprints
https://doi.org/10.5194/egusphere-2025-435
https://doi.org/10.5194/egusphere-2025-435
06 May 2025
 | 06 May 2025

Retrieval of Black Carbon Aerosol Surface Concentration Using Integrated MODIS and AERONET Data

Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Shuhui Wu, and Pei Li

Abstract. Black Carbon (BC) is a carbonaceous aerosol that strongly absorbs solar radiation. The high emissions of these highly absorbent particles exacerbate regional air quality and pose significant threats to global climate, both in the short and long term. Therefore, accurately quantifying the spatial distribution of BC is crucial for improving regional air quality and mitigating the climate change impacts driven by human activities. In this study, we developed a novel algorithm for retrieving BC surface concentration using MODIS and AERONET data. The algorithm first determined the seasonal background aerosol model using the K-means clustering method, based on AERONET V3 daily products. It then employed the Maxwell–Garnett effective medium approximation model to calculate the complex refractive index of the internally mixed aerosols and used the 6SV2.1 radiative transfer code to establish lookup tables for optimal BC fraction and column concentration estimation. Subsequently, the column concentration data were converted to surface concentration using a conversion coefficient derived from MERRA-2. Finally, the retrieved MODIS BC surface concentration was validated with in-situ Aethalometer measurements. The validation showed a correlation coefficient (R) of 0.727, a root mean square error (RMSE) of 0.353, a mean absolute error (MAE) of 0.211, and a linear fit function of y = 0.718x + 0.015. These statistical parameters outperform those obtained from MERRA-2 BC data, demonstrating the superior performance of the proposed algorithm in this study area.

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Journal article(s) based on this preprint

16 Sep 2025
Retrieval of black carbon aerosol surface concentration using integrated MODIS and AERONET data
Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Shuhui Wu, and Pei Li
Atmos. Meas. Tech., 18, 4559–4571, https://doi.org/10.5194/amt-18-4559-2025,https://doi.org/10.5194/amt-18-4559-2025, 2025
Short summary
Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Shuhui Wu, and Pei Li

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-435', Anonymous Referee #1, 17 May 2025
  • RC2: 'Comment on egusphere-2025-435', Anonymous Referee #2, 01 Jul 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-435', Anonymous Referee #1, 17 May 2025
  • RC2: 'Comment on egusphere-2025-435', Anonymous Referee #2, 01 Jul 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yong Xue on behalf of the Authors (26 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Aug 2025) by Omar Torres
AR by Yong Xue on behalf of the Authors (12 Aug 2025)  Author's response   Manuscript 

Journal article(s) based on this preprint

16 Sep 2025
Retrieval of black carbon aerosol surface concentration using integrated MODIS and AERONET data
Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Shuhui Wu, and Pei Li
Atmos. Meas. Tech., 18, 4559–4571, https://doi.org/10.5194/amt-18-4559-2025,https://doi.org/10.5194/amt-18-4559-2025, 2025
Short summary
Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Shuhui Wu, and Pei Li
Xingxing Jiang, Yong Xue, Mariarosaria Calvello, Shuhui Wu, and Pei Li

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Short summary
A novel BC surface concentration retrieval algorithm was developed based on MODIS data. The algorithm determined the seasonal background aerosol model based on AERONET V3 daily 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.
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