Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 7
Articles | Volume 16, issue 7
https://doi.org/10.5194/essd-16-3233-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3233-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 7
Data description paper
 | 
12 Jul 2024
Data description paper |  | 12 Jul 2024

Visibility-derived aerosol optical depth over global land from 1959 to 2021

Hongfei Hao, Kaicun Wang, Chuanfeng Zhao, Guocan Wu, and Jing Li

Viewed

Total article views: 1,817 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,447 297 73 1,817 54 61
  • HTML: 1,447
  • PDF: 297
  • XML: 73
  • Total: 1,817
  • BibTeX: 54
  • EndNote: 61
Views and downloads (calculated since 14 Nov 2023)
Cumulative views and downloads (calculated since 14 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,817 (including HTML, PDF, and XML) Thereof 1,750 with geography defined and 67 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
In this study, we employed a machine learning technique to derive daily aerosol optical depth from hourly visibility observations collected at more than 5000 airports worldwide from 1959 to 2021 combined with reanalysis meteorological parameters.
Read more
Altmetrics
Final-revised paper
Preprint