Articles | Volume 19, issue 10
https://doi.org/10.5194/acp-19-7183-2019
https://doi.org/10.5194/acp-19-7183-2019
Research article
 | 
29 May 2019
Research article |  | 29 May 2019

Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products

Jing Wei, Yiran Peng, Rashed Mahmood, Lin Sun, and Jianping Guo

Viewed

Total article views: 5,021 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,794 1,161 66 5,021 183 49 57
  • HTML: 3,794
  • PDF: 1,161
  • XML: 66
  • Total: 5,021
  • Supplement: 183
  • BibTeX: 49
  • EndNote: 57
Views and downloads (calculated since 23 Nov 2018)
Cumulative views and downloads (calculated since 23 Nov 2018)

Viewed (geographical distribution)

Total article views: 5,021 (including HTML, PDF, and XML) Thereof 4,757 with geography defined and 264 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 May 2024
Download
Short summary
This study evaluates the suitability of 11 satellite-derived aerosol products in describing the spatio-temporal variations over the world. Our results show similar global patterns among these products but noticeable spatial heterogeneity and numerical differences over land regions. In general, MODIS products perform best at reflecting the spatial distributions and capturing the temporal trends of aerosol. This study help readers select a suitable aerosol dataset for their studies.
Altmetrics
Final-revised paper
Preprint