Abstract
It is important to explore the characteristics and rules of atmospheric aerosol in the East Asian Sea for monitoring and evaluating atmospheric environmental quality. Based on Aerosol Robot Network (AERONET), Visible Infrared Imaging Radiometer (VIIRS), and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data, the temporal and spatial variation characteristics and differences of aerosol parameters and types in the East Asian Sea were studied by using figure classification method (FIGCM), aerosol optical depth (AOD)440-Angstrom exponent (AE)440–870 method (AA1M), and AOD550-AE490-670 method (AA2M). The results show that the seasonal variation trend of aerosol characteristics and types is obvious in East Asia Sea. AOD, volume concentration (Cv), and aerosol effective radius (reff) in the Bohai-Yellow Sea and the Sea of Japan in autumn are lower than those in other seasons, and the occurrence frequency of ocean-type aerosols is high. Different from the Bohai-Yellow Sea and Sea of Japan, human activities in winter, summer, and autumn seriously affect the air quality in the East China Sea and South China Sea. Especially at the Taipei CWB site, from aerosol parameters and high biomass burning/urban industrial (BB/UI) aerosol, human activity is an important factor for high pollution at the Taipei CWB site. Aerosol types of AA1M, FIGCM, AA2M, and CALIPSO were compared at Anmyon and Yonsei University sites in the Bohai-Yellow Sea in March 2020. The results show that aerosol types based on threshold classification methods generally have higher mixed aerosol results, and the marine (MA) results of AA1M, FIGCM, and AA2M are close to the clean marine aerosol results of CALIPSO. Comparing the results of AA 2 M and CALIPSO on a spatial scale, it is found that the clean marine aerosol proportion identified by CALIPSO (0.38, 0.48, 0.82) is consistent with the MA proportion identified by AA 2 M (0.43, 0.46, 0.97) in the East China Sea, South China Sea, and Western Pacific Ocean.
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Data availability statement
We thank the VIIRS, AERONET, and CALIPSO team for providing data for this study. VIIRS (https://ladsweb.modaps.eosdis.nasa.gov, accessed on 10 June 2023), AERONET (https://aeronet.gsfc.nasa.gov, accessed on 5 April 2023), CALIPSO (https://www-calipso.larc.nasa.gov, accessed on 5 February 2023).
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This research was supported by the National Natural Science Foundation of China (grant no. 42371441) and the Shanghai Ocean Bureau Research Project (grant no. Shanghai 2023–01).
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Kuifeng Luan: conceptualization, software, writing—original draft, visualization. Zhaoxiang Cao: formal analysis, investigation, supervision, writing—original draft. Wei Shen: methodology, data curation, writing—review and editing. Peng Zhou: resources, funding acquisition, visualization. Zhenge Qiu: project administration, supervision. Haixia Wan: supervision. Zhenhua Wang: project administration. Weidong Zhu: investigation.
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Highlights
• The seasonal variation of aerosol physical properties over East Asia is studied by using AERONET data.
• The rationality of different aerosol classification methods at the AERONET site in East Asia was compared.
• A uniform threshold standard for background aerosol classification is used to improve the identification of aerosol types over the East Asian seas.
• A method is proposed to verify the aerosol identification results of long time series and a large range of passive optical data by CALIPSO L3 data.
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Luan, K., Cao, Z., Shen, W. et al. Application of multiplatform remote sensing data over East Asia Ocean: aerosol characteristics and aerosol types. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33458-9
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DOI: https://doi.org/10.1007/s11356-024-33458-9