Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 18
Articles | Volume 18, issue 18
https://doi.org/10.5194/amt-18-4885-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-4885-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 18
Research article
 | 
29 Sep 2025
Research article |  | 29 Sep 2025

Performance and evaluation of remote sensing satellites for monitoring dust weather in East Asia

Yuanyuan Zhang, Ning Wang, and Shuanggen Jin

Viewed

Total article views: 5,727 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,500 1,987 240 5,727 188 219
  • HTML: 3,500
  • PDF: 1,987
  • XML: 240
  • Total: 5,727
  • BibTeX: 188
  • EndNote: 219
Views and downloads (calculated since 21 Mar 2025)
Cumulative views and downloads (calculated since 21 Mar 2025)

Viewed (geographical distribution)

Total article views: 5,727 (including HTML, PDF, and XML) Thereof 5,597 with geography defined and 130 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 13 Oct 2026
Download
Short summary
Satellite remote sensing helps monitor dust storms. Our study compared five satellite products that use ground-based PM10 data. Most products agreed on the daily dust distribution, with absorbing aerosol index (AAI) performing best under cloud cover. Overall, the Sentinel-5P AAI has the highest probability of correct detection (POCD) in dust events but is unstable and has a high probability of false detection (POFD). The FY4A/B infrared difference dust index (IDDI) has the lowest POCD, but it is relatively stable, and its POFD is low.
Read more
Share