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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Sep 2025
Research article |
| 29 Sep 2025
| 29 Sep 2025
Performance and evaluation of remote sensing satellites for monitoring dust weather in East Asia
Yuanyuan Zhang
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
Ning Wang
Nanjing Xinda Institute of Meteorological Science & Technology, Nanjing, 210000, China
Shuanggen Jin
CORRESPONDING AUTHOR
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China
Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, 200030, China
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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.
Satellite remote sensing helps monitor dust storms. Our study compared five satellite products...
