Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 8
Articles | Volume 24, issue 8
https://doi.org/10.5194/acp-24-5025-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-5025-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 8
Research article
 | 
29 Apr 2024
Research article |  | 29 Apr 2024

Global aerosol-type classification using a new hybrid algorithm and Aerosol Robotic Network data

Xiaoli Wei, Qian Cui, Leiming Ma, Feng Zhang, Wenwen Li, and Peng Liu

Viewed

Total article views: 1,545 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,144 343 58 1,545 41 40
  • HTML: 1,144
  • PDF: 343
  • XML: 58
  • Total: 1,545
  • BibTeX: 41
  • EndNote: 40
Views and downloads (calculated since 06 Oct 2023)
Cumulative views and downloads (calculated since 06 Oct 2023)

Viewed (geographical distribution)

Total article views: 1,545 (including HTML, PDF, and XML) Thereof 1,516 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
A new aerosol-type classification algorithm has been proposed. It includes an optical database built by Mie scattering and a complex refractive index working as a baseline to identify different aerosol types. The new algorithm shows high accuracy and efficiency. Hence, a global map of aerosol types was generated to characterize aerosol types across the five continents. It will help improve the accuracy of aerosol inversion and determine the sources of aerosol pollution.
Read more
Altmetrics
Final-revised paper
Preprint