Articles | Volume 23, issue 14
https://doi.org/10.5194/acp-23-8187-2023
https://doi.org/10.5194/acp-23-8187-2023
Research article
 | 
24 Jul 2023
Research article |  | 24 Jul 2023

A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia

Shikuan Jin, Yingying Ma, Zhongwei Huang, Jianping Huang, Wei Gong, Boming Liu, Weiyan Wang, Ruonan Fan, and Hui Li

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Cited articles

Alexander, B., Park, R. J., Jacob, D. J., Li, Q. B., Yantosca, R. M., Savarino, J., Lee, C. C. W., and Thiemens, M. H.: Sulfate formation in sea-salt aerosols: Constraints from oxygen isotopes, J. Geophys. Res.-Atmos., 110, D10307, https://doi.org/10.1029/2004JD005659, 2005. 
Alexandersson, H. and Moberg, A.: Homogenization of Swedish Temperature Data. Part i: Homogeneity Test for Linear Trends, Int. J. Climatol., 17, 25–34, https://doi.org/10.1002/(SICI)1097-0088(199701)17:1<25::AID-JOC103>3.0.CO;2-J, 1997. 
Ali, M. A., Bilal, M., Wang, Y., Qiu, Z., Nichol, J., Mhawish, A., de Leeuw, G., Zhang, Y., Shahid, S., Almazroui, M., Islam, M., Rahman, M., Mondal, S., Tiwari, P., and Khedher, K.: Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data, J. Environ. Manage., 315, 115097, https://doi.org/10.1016/j.jenvman.2022.115097, 2022. 
Anderson, R. L.: Distribution of the Serial Correlation Coefficient, The Ann. Mathem. Stat., 13, 1–13, https://doi.org/10.1214/aoms/1177731638, 1942. 
Ångström, A.: The Parameter of Atmospheric Turbidity, Tellus, 16, 64–75, https://doi.org/10.3402/tellusa.v16i1.8885, 1964. 
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Short summary
To better understand the Asian aerosol environment, we studied distributions and trends of aerosol with different sizes and types. Over the past 2 decades, dust, sulfate, and sea salt aerosol decreased by 5.51 %, 3.07 %, and 9.80 %, whereas organic carbon and black carbon aerosol increased by 17.09 % and 6.23 %, respectively. The increase in carbonaceous aerosols was a feature of Asia. An exception is found in East Asia, where the carbonaceous aerosols reduced, owing largely to China's efforts.
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