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

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

doi:https://doi.org/10.5194/acp-24-12643-2024

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

Supplement

https://doi.org/10.5194/acp-24-12643-2024-supplement

Data sets

AERONET ground-based Level 2.0 Version 3 AERONET https://aeronet.gsfc.nasa.gov/new_web/download_all_v3_aod.html

LETKF source codes Takemasa Miyoshi https://github.com/takemasa-miyoshi/letkf

CALIPSO Data Collection NASA https://asdc.larc.nasa.gov/project/CALIPSO

SONET ground-based Level 2.0 SONET http://www.sonet.ac.cn/en/index.php?m=content&c=index&a=show&catid=356&id=1443

WRF source codes WRF Development and Support Team https://www2.mmm.ucar.edu/wrf/users/download/get_source.html

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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.