Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 22
Articles | Volume 24, issue 22
https://doi.org/10.5194/acp-24-12643-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-12643-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 22
Research article
 | 
14 Nov 2024
Research article |  | 14 Nov 2024

Improving estimation of a record-breaking east Asian dust storm emission with lagged aerosol Ångström exponent observations

Yueming Cheng, Tie Dai, Junji Cao, Daisuke Goto, Jianbing Jin, Teruyuki Nakajima, and Guangyu Shi

Viewed

Total article views: 1,756 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,433 209 114 1,756 53 62 83
  • HTML: 1,433
  • PDF: 209
  • XML: 114
  • Total: 1,756
  • Supplement: 53
  • BibTeX: 62
  • EndNote: 83
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads (calculated since 25 Mar 2024)

Viewed (geographical distribution)

Total article views: 1,756 (including HTML, PDF, and XML) Thereof 1,756 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
In March 2021, east Asia experienced an outbreak of severe dust storms after an absence of 1.5 decades. Here, we innovatively used the time-lagged ground-based aerosol size information with the fixed-lag ensemble Kalman smoother to optimize dust emission and reproduce the dust storm. This work is valuable for not only the quantification of health damage, aviation risks, and profound impacts on the Earth's system but also revealing the climatic driving force and the process of desertification.
Read more
Share
Altmetrics
Final-revised paper
Preprint