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

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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.
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