Articles | Volume 26, issue 6
https://doi.org/10.5194/acp-26-3881-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-3881-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2026
Research article |
| 19 Mar 2026
| 19 Mar 2026
Assessment and prediction of dust emissions, deposition and radiation forcing in Central Asia
Ying Gan
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830046, China
Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, 830046, China
Zhe Zhang
CORRESPONDING AUTHOR
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830046, China
Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, 830046, China
MNR Technology Innovation Center for Central Asia Geo-Information Exploitation and Utilization, Urumqi, 830046, China
Wen Chu
College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
Jianli Ding
Xinjiang Institute of Technology, Aksu, 843100, China
Yuxin Ren
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830046, China
Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830046, China
Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, Xinjiang University, Urumqi, 830046, China
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Xiangyue Chen, Hongchao Zuo, Zipeng Zhang, Xiaoyi Cao, Jikai Duan, Chuanmei Zhu, Zhe Zhang, and Jingzhe Wang
Earth Syst. Sci. Data, 14, 5233–5252, https://doi.org/10.5194/essd-14-5233-2022, https://doi.org/10.5194/essd-14-5233-2022, 2022
Short summary
Short summary
Arid and semi-arid areas are data-scarce aerosol areas. We provide path-breaking, high-resolution, full coverage, and long time series AOD datasets (FEC AOD) to support the atmosphere and related studies in northwestern China. The FEC AOD effectively compensates for the deficiency and constraints of in situ observations and satellite AOD products. Meanwhile, FEC AOD products demonstrate a reliable accuracy and ability to capture long-term change information.
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Short summary
Central Asia’s worsening dust storms, driven by three major expanding desert source regions, could nearly double by 2100 under high-emission scenarios. Our analysis shows that these storms cool the upper atmosphere while enhancing low-level atmospheric heating, locally reducing surface sunlight by up to 20%—enough to threaten crop productivity. In spring, dust storms near Kashgar heat the lower atmosphere up to 30 times faster than at less dust-affected sites such as Lake Issyk-Kul.
Central Asia’s worsening dust storms, driven by three major expanding desert source regions,...
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